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KODONO Yukio

    Department of Business Administration　Professor/Manager
Last Updated :2024/04/23

Researcher Information

Degree

  • Ph.D

J-Global ID

Research Interests

  • プロジェクトマネジメント   情報マネジメント   ＩＣＴ   ファジィ理論   Fuzzy Theory   

Research Areas

  • Manufacturing technology (mechanical, electrical/electronic, chemical engineering) / Control and systems engineering
  • Humanities & social sciences / Business administration
  • Informatics / Soft computing

Academic & Professional Experience

  • 2016/04 - Today  Kindai University商学研究科教授
  • 2015/04 - Today  Kinki UniversityFaculty of Business AdministrationProfessor
  • 2005/04 - 2015/03  Osaka International UniversityGraduate School of Management and Information Science教授
  • 2001/04 - 2005/03  Osaka International UniversityGraduate School of Management and Information Science助教授

Education

  • 1989/04 - 1992/03  Graduate School of Osaka Institute of Rechnology  工学研究科  電気工学専攻

Association Memberships

  • グローバル経営学会   日本オペレーションズ・リサーチ学会   中四国商経学会   計測自動制御学会   日本経営工学会   日本知能情報ファジィ学会   

Published Papers

  • Interrelationships Among Consumer Attitudes Toward Vlog Promotion
    Lu Jiang; Yukio Kodono
    J. Adv. Comput. Intell. Intell. Inform 26 (4) 542 - 578 2022/07 [Refereed]
  • The Motivation Behind Participation in Virtual CSR Co-Creation by Chinese Post-90s: A Case Study of Ant Forest
    Huihui Cheng; Yukio Kodono
    J. Adv. Comput. Intell. Intell. Inform 26 (4) 549 - 554 2022/07 [Refereed]
  • Olympus Management Strategy Analysis in Chinese Medical Device Market by Fuzzy VRIO Analysis
    Yukio Kodono; Qian Zhang; Wen Yan
    Journal of Combinatorics, Information & System Sciences 45 (1-4) 387 - 403 2020/12 [Refereed]
  • Fuzzy VRIO Analysis
    Yukio KODONO
    SHOKEI-GAKUSO, Journal of Business Studies 66 (1) 113 - 128 2019/07
  • A Study on Statistical Processing of Data including Uncertain Factors
    KODONO Yukio
    グローバル経営学会誌 4 2018/03 [Refereed]
  • CHIA Chih Sheng; KODONO Yukio
    J. SOFT Japan Society for Fuzzy Theory and Intelligent Informatics 27 (5) 784 - 798 1347-7986 2015/10 [Refereed]
     
    Tingyi (Cayman Islands) Holding Corp entered the Mainland China market in 1992. In a short period of time, the company had good performance in instant noodles and beverage departments and gained the top position in the China market. One of the success factors was that Tingyi entered the China market earlier than other competitors, so got a perfect position, and built its brand image. On the other hand, Tingyi took a chance by grasping the opportunity presented by the development of the fast-food industry and supermarkets.
    Tingyi has started business partnerships with Japanese food companies continuously since 1996, These include Sanyo Foods Co., Ltd, Asahi Breweries, Ltd, Itochu Corporation, Pasco Shikishima Corporation, Nippon Flour Mills Co., Ltd, Calbee, Inc, etc. Tingyi also made partnerships with PepsiCo Inc of China to expand its business range.According to statistics, Tingyi reached a 47% share in China's instant noodle market in 2014, close to half of the entire China market.
    Profitability is a key which determines the value of a corporation, and when the market slumps, it can show that an outstanding enterprise has more competitive advantage than others. In this paper, we try to use the fuzzy VRIO, FIVE FORCES and SWOT methods to analyze the internal and external factors of Tingyi, find threats and opportunities that the enterprise now faces, and identify how Tingyi can keep its competitive advantage in China.
    In this paper, in order to analyze the current management strategy of Tingyi, we use the Five Forces method to analyze the external environment, and the Fuzzy VRIO method on the internal environment.
    The strengths and weaknesses of Tingyi's internal environment, and the opportunities and threats from the external are revealed using a SWOT analysis.
    In the future, we believe it is essential for Tingyi to formulate effective strategies to continue their dominance of the Chinese market.
  • CHEN Faen; KODONO Yukio
    OIU Journal of International Studies 大阪国際大学 28 (1) 37 - 56 0915-3586 2014/10 
    The Chinese market is indispensable to international automobile companies, who are thus expanding investment in the country's automotive industry. To increase their market share in China, automobile manufacturers and independent automotive enterprises have implemented a series of management strategies. Consequently, competition in China is becoming increasingly intense. At the same time, Chinese automobile companies have no international brand recognition. In this paper, an independent automobile enterprise of China examined using the fuzzy 5F （threat of new entrants , rivalry among existing firms , threat of substitute products or services , bargaining power of buyers , bargaining power of suppliers） analysis. We think that the application of fuzzy theory to management methods will contribute to the development of the Chinese automobile industry.
  • Fuzzy VRIO and SWOT Analysis of Chery Automobile
    CHEN Faen; KODONO Yukio
    Journal of Advanced Computational Intelligence and Intelligent Infomatics 18 (3) 429 - 434 2014/05 [Refereed][Invited]
  • Chih Sheng Chia , Yukio Kodono
    OIU journal of international studies 大阪国際大学 27 (3) 143 - 159 0915-3586 2014/03 
    Tingyi (Cayman Islands) Holding Corp. (the Company), and its subsidiaries (the Group) specialize in the production and distribution of instant noodles, beverages and instant food products in the People's Republic of China (PRC). The Group started its instant noodle business in 1992, and expanded into the instant food and beverage businesses in 1996. In March 2012, the Group further expanded its beverage business, and a strategic alliance between the Company and PepsiCo in the PRC beverage business was established. The Company exclusively manufactures, bottles, packages, distributes and sells PepsiCo soft drinks in China. The Group's three main business segments have established leading market shares in the PRC's food industry. As of December 2012, the Group was the market leader in instant noodles and ready-to-drink teas, gaining 56.4% and 44.2% market shares respectively. In this paper, we try to research the success of management strategy and perform a VRIO analysis of the company.
  • CHEN Faen; KODONO Yukio
    OIU Journal of International Studies 大阪国際大学 27 (3) 11 - 29 0915-3586 2014/03 [Refereed]
     
    It is generally understood that the Chinese market is now an integral part of the world market and international automobile companies are making efforts to gain access to it. To expand their market share in China, companies implement various strategies, making competition fiercer. As Chinese automobile companies are not well-known world-wide, BYD is suitable for analysis as a representative Chinese automobile company. Firstly, the history and outline of the company are summarized, then the strengths and weaknesses of the corporate environment are described using the fuzzy VRIO (Value, Rarity, Inimitability and Organization) analysis method. Applying fuzzy theory in the analysis of the management environment, for instance, VRIO analysis can enable the formulation of more effective strategies. This application of fuzzy theory to management methods is intended to contribute to the future development of the Chinese automobile industry. This paper clarifies the significance of the competitive advantages of BYD Auto using fuzzy VRIO analysis.
  • Chia Chih Sheng; Kodono Yukio
    Proceedings of the Fuzzy System Symposium Japan Society for Fuzzy Theory and Intelligent Informatics 30 91 - 94 2014 
    At 1978, the value of production of the food industry reached 25% of GDP in China, and it developed into the biggest Chinese industry. After that, the food industry in China also maintains high growth until now. The development of the food industry in China has converted and developed into the model of the major company formed as an industrial group from the direction of small and medium-sized enterprises especially. Moreover, the maturity of the correlative industry in China is also increasing, profits came to concentrate on a major company now, and it makes much brand of famous food appeared as Chinese industrial technique improved. As the economy and population continuously grow up of China, the grade amount of the demanded and pluralization is progressing. Therefore, it is expected that a big development, such as the huge market of the food industry in China. In this paper, we analyze the external environment about the huge food market in China. And we consider a management strategy from the viewpoint of the major company in such intensely competitive market.
  • Chia Chih Sheng; Yukio Kodono
    2014 JOINT 7TH INTERNATIONAL CONFERENCE ON SOFT COMPUTING AND INTELLIGENT SYSTEMS (SCIS) AND 15TH INTERNATIONAL SYMPOSIUM ON ADVANCED INTELLIGENT SYSTEMS (ISIS) IEEE 1382 - 1385 2014 [Refereed]
     
    Tingyi (Cayman Islands) Holding Corp. (the "Company"), and its subsidiaries (the "Group") specialize in the production and distribution of instant noodles, beverages and instant food products in the People's Republic of China ("PRC"). The Group started its instant noodle business in 1992, and expanded into the instant food business and beverage business in 1996. In March 2012, the Group further expanded its beverage business, the strategic alliance between the Company and PepsiCo in the beverage business in the PRC was established. The Company is exclusively manufacturing, bottling, packaging, distributing and selling PepsiCo non-alcoholic drinks in China. In this paper, we try to research the success of management strategy and analyzed the VRIO analysis of the company, and we use the fuzzy VRIO method to analyze the internal factors that Master Kong keeps how to make the competitive advantage in China.
  • Shiseido's Competitive of Strategy in China
    Cuihong Fu, Yukio Kodono
    OIU journal of international studies 26 (3) 43 - 63 2013/03
  • Kodono Yukio; Chen Faen
    OIU journal of international studies Osaka International University 26 (1) 61 - 76 0915-3586 2012/10 
    The Chinese market is indispensable for the world's automobile enterprises, and they have all strengthened their investment in that market. Therefore, in order to expand their market shares in China, all automobile companies and independent automotive enterprises have implemented a series of management strategies, and, as a result, made the competition in China more intense. However, Chinese automobile enterprises are not known to the outside world. Therefore, this paper selected the independent automobile company Chery as an example, based on an analysis of the history of the company, using SWOT and five competive forces (5F) methods. Finally, I would like to put forward four solutions to solve the current problems. Through this paper, We wish we could make contribution to the development of Chinese automobile enterprises in the future.
  • Kodono Yukio
    OIU journal of international studies Osaka International University 25 (3) 123 - 141 0915-3586 2012/03 
    This paper describes quality assurance systems for education by the Kenneth W. Monfort College of Business (MCB). The author visited the MCB in August 2008 as a member of a study team. This paper discusses educational quality assurance in higher education based on the results of that study. Introduction of the MCB's educational management system would assist quality assurance in Japanese higher education in future.
  • Kodono Yukio
    OIU journal of international studies Osaka International University 25 (2) 33 - 48 0915-3586 2012/01 
    This paper is dedicated to the late Dr. E. M. Goldratt by whose passing I was deeply affected. Dr. Goldratt proposed the Theory of Constraints (TOC). This paper introduces Dr. Goldratt's TOC which is based on the premise that the rate of goal achievement is limited by constraints which it then seeks to identify. TOC is systematized using the following management methods: Throughput Accounting, Process of Ongoing Improvement, Drum Buffer Rope, Thinking Process and Critical Chain Project Management; all of which are examined in this paper.
  • Shunsuke Nakamura; Yukio Kodono
    6TH INTERNATIONAL CONFERENCE ON SOFT COMPUTING AND INTELLIGENT SYSTEMS, AND THE 13TH INTERNATIONAL SYMPOSIUM ON ADVANCED INTELLIGENT SYSTEMS IEEE 1974 - 1977 2012 [Refereed]
     
    In this paper, the day-to-day base sales of a store were investigated for one year---from September 2005 to August 2006. The purpose of the investigation was to establish a consumer demand forecasting model. Also, the writers observed some meteorological factors like temperature and humidity during this period in order to consider the model in relation to those factors. Then, a statistic analysis was attempted to clarify the mutual relationship between sales and meteorological factors. The paper, firstly, tried to analyze, by applying analysis of variance and correlation analysis, the relationship between the sales of each day, and the meteorological factors. And secondly, on the basis of this analysis, the meteorological factors which are thought to be the most important are selected. This leads to the construction of the fuzzy reasoning model in which demand is forecasted by using the selected meteorological factors. Then, his time, the fuzzy reasoning model of each month proposed previously is applied. By doing this, the accuracy of the forecast is thought to be improved. Finally, the writers attempt to compare the above-mentioned previous model, the one established in this paper, and a prediction from regression analysis. The utility of the fuzzy reasoning model proposed in the present paper is then discussed. The present study has found that meteorological factors affect, if not to a great extent then somewhat, peoples consumption.
  • Faen Chen; Yukio Kodono
    6TH INTERNATIONAL CONFERENCE ON SOFT COMPUTING AND INTELLIGENT SYSTEMS, AND THE 13TH INTERNATIONAL SYMPOSIUM ON ADVANCED INTELLIGENT SYSTEMS IEEE 1959 - 1962 2012 [Refereed]
     
    Chinese market is indispensable for the world's automobile enterprises, and all enterprises have strengthened the investment in Chinese market. Therefore, in order to expand more market shares in China, all automobile companies and independent automotive enterprises have implemented a series of management strategies, and, as a result, made the competition in China more intense. However, Chinese automobile enterprises have not been known to the world. Therefore, this paper selected the independent automobile company Chery as an example, based on the analysis of Chery automobile company, using SWOT and five forces model (5F) analysis to analyze it. Finally, we would like to put forward four solutions to solve the current problems. Through this paper, we hope to make contribution to the development of Chinese automobile enterprises in the future.
  • Kotani Naoya; Kodono Yukio
    OIU journal of international studies Osaka International University 25 (1) 15 - 25 0915-3586 2011/10
  • Kotani Naoya; Adachi Yasuo; Kodono Yukio; Uematsu Koyu
    OIU journal of international studies Osaka International University 24 (2) 171 - 191 0915-3586 2011/01 
    In this paper, we propose to introduce the concept of exponential fuzzy number into a simple AHP(Analytical Hierarchy Process) model. The variety of the bottom "a" in the exponential fuzzy number has a big influence on the decision making of AHP method. We will discuss the optimal bottom" a" which maximizes the difference of weights between two alternatives. In addition to the exponential fuzzy number, we let the AHP model include the concept of α-Cut. The optimal "α" means that membership functions of two alternatives do not intersect at level α. We have carried out all simulations. As a result, it was found that the tracks of intersections between two membership functions have three patterns. It is convinced that the optimal" α" will become effective for all AHP models with exponential fuzzy number.
  • NAKAMURA Shunsuke; KODONO Yukio
    Journal of Japan Society for Fuzzy Theory and Intelligent Informatics Japan Society for Fuzzy Theory and intelligent informatics 20 (2) 211 - 217 1347-7986 2008/04 [Refereed]
     
    This paper, by paying attention to human purchasing behavior, attempts to establish a fuzzy reasoning model so that researching the marketing activities of enterprises and demand forecasts will be smoothly carried out. Concretely, the writers select meteorological factors, which would be useful by applying the principal component analysis, and also try to analyze the correlation between the number of visitors and the meteorological factors. Then, by applying an analysis of variance, they attempt to analyze day-to-day sales and the relationship between the number of visitors and the meteorological factors. On the basis of the result obtained from this fuzzy reasoning model, in which demand forecasting can be done, is constructed by selecting the meteorological factors which influence purchasing activities. Finally, the writers try to set up a presupposition for demand forecast. At the same time, they compare the forecast results of a regression analysis that is an earlier forecasting technique in order to clarify the utility of their fuzzy reasoning model.
  • NAKAMURA Shunsuke; KODONO Yukio
    Journal of Biomedical Fuzzy Systems Association Biomedical Fuzzy Systems Association 10 (1) 26 - 32 1345-1537 2008/01 [Refereed]
     
    In this paper, the day-to-day base sales of a store were investigated for one year---from September 2005 to August 2006. The purpose of the investigation was to establish a consumer demand forecasting model. Also, the writers observed some meteorological factors like temperature and humidity during this period in order to consider the model in relation to those factors. Then, a statistic analysis was attempted to clarify the mutual relationship between sales and meteorological factors. The paper, firstly, tried to analyze, by applying analysis of variance and correlation analysis, the relationship between the sales of each day, and the meteorological factors. And secondly, on the basis of this analysis, the meteorological factors which are thought to be the most important are selected. This leads to the construction of the fuzzy reasoning model in which demand is forecasted by using the selected meteorological factors. Then, his time, the fuzzy reasoning model of each month proposed previously is applied. By doing this, the accuracy of the, forecast is thought to be improved. Finally, the writers attempt to compare the above-mentioned previous model, the one established in this paper, and a prediction from regression analysis. The utility of the fuzzy reasoning model proposed in the present paper is then discussed. The present study has found that meteorological factors affect, if not to a great extent then somewhat, peoples consumption.
  • KOTANI Naoya; KODONO Yukio
    Journal of Biomedical Fuzzy Systems Association Biomedical Fuzzy Systems Association 10 (1) 11 - 18 1345-1537 2008/01 [Refereed]
     
    In this paper we propose the exponential fuzzy numbers in Analytical Hierarchy Process (AHP), employing the fuzzy concept. The objective was determined a method of deriving the weights of criteria and their alternatives. Next, the influence of fuzzy is examined by using the membership function. Specifically we use the exponential fuzzy numbers for the pairwise comparison scale. Same experiments with AHP were conducted using the pairwise comparison scale and the new pairwise comparison scale of the method was examined.
  • Nakamura Shunsu; Kodono Yukio
    OIU journal of international studies Osaka International University 21 (1) 65 - 73 0915-3586 2007/10 
    In order to construct a consumer demand forecasting model, daily sales at anapparel store and meteorological factors, such as temperature, were investigatedand the relationship between them clarified using statistical methods. Specifically,the relationship between daily sales, number of customers and meteorologicalfactors was determined using decentralized analysis.
  • Kotani Naoya; Kodono Yukio
    OIU journal of international studies Osaka International University 21 (1) 51 - 63 0915-3586 2007/10 
    Analytical Hierarchy Process （AHP）is a very useful decision-making method asit captures decision-making elements hierarchically. However human decisions willbe fuzzy in nature. This paper employs fuzzy concepts to deal with the fuzzy exponential in AHP.The objective was to determine a method of deriving the weights or criteria andtheir alternatives, specifically by using the fuzzy exponential for the pairwisecomparison scale. Experiments were conducted using both the normal pairwisecomparison scale and that using the fuzzy exponential. The results showed theusefulness of fuzzy exponential AHP.
  • Kotani Naoya; Kodono Yukio
    Proceedings of the Annual Conference of Biomedical Fuzzy Systems Association Biomedical Fuzzy Systems Association 20 75 - 78 2007 
    In this paper we propose the exponential fuzzy numbers in Analytical Hierarchy Process (AHP), employing the fuzzy concept. The objective was determined a method of deriving the weights of criteria and their alternatives. Next, the influence of fuzzy is examined by using the membership function. Specifically we use the exponential fuzzy numbers for the pairwise comparison scale. Same experiments with AHP were conducted using the pairwise comparison scale and the new pairwise comparison scale of the method was examined.
  • Nakamura Shunsuke; Kodono Yukio
    Proceedings of the Annual Conference of Biomedical Fuzzy Systems Association Biomedical Fuzzy Systems Association 20 47 - 50 2007 
    In this paper, sales of every day of a certain apparel store were investigated for the consumer's demand forecasting model construction, and the meteorological factor such as the temperature was investigated at the same time. And, consumer' s demand forecasting model is constructed by using meteorological factor in statistically clarifying the relation between these. Concretely, the fuzzy reasoning model to whom demand is forecast by trying the analysis of sales of every day and the relation between the number of visitors and the meteorological factor by applying a decentralized analysis, selecting the meteorological factor from this analytical result, and using the obtained factor is constructed.
  • Nakamura Shunsuke; Kodono Yukio
    OIU journal of international studies 大阪国際大学 19 (2) 31 - 52 0915-3586 2006/01 
    This article seeks to determine demand forecast factors by constructing a fuzzy reasoning model combining meteorological and management data. Analysis of the relationship between daily sales, the number of customers and weather factors was performed using analysis of variance and the resulting dataexamined using linear regression analysis. The above method of creating a consumer demand forecasting model using fuzzy inference is recommended due to its straightforward nature and effectivenesswith rough meteorological data.
  • Kotani Naoya; Kodono Yukio
    OIU journal of international studies 大阪国際大学 19 (2) 1 - 13 0915-3586 2006/01 
    This article deals with the pairwise comparison scale in Analytical Hierarchy Process（ AHP）, employing the fuzzy concept. The objective was to determine a method of deriving the weights of evaluation items and their alternatives. Specifically the membership function of the pairwise comparison scale was estimated of the basis of experimental data. Both qualitative and quantitative experiments with AHP were conducted using the fuzzy pairwise comparison scale and the effectiveness of the method was xamined by comparing margins of error of the consistency index, the comprehensive evaluation and the true value.
  • Kodono Yukio; Nishimoto Masahiro
    OIU journal of international studies 大阪国際大学 第17巻第1号95-112頁 (1) 95 - 112 0915-3586 2003/10 
    A consumer behavior model is proposed to explain the action by which consumers buy commodities and services. In this model, purchase of goods by the consumer is stimulated by marketing, advertisement, etc. However it is reported that consumer behavior is also influenced by meteorological factors. This article suggests demand forecasting fuzzy reasoning models using meteorological data noting that this influences daily sales of goods and services. The effectiveness of these models is examined by comparing the results of regression analysis with those of the models.
  • 古殿幸雄
    福山平成大学経営学部紀要経営情報学科篇経営情報研究 6 (6) 19 - 36 2001
  • 気象と消費者行動
    福山平成大学経営学部紀要 経営情報学科篇 経営情報研究 (5) 1 - 19 2000
  • マーケティング・リサーチにおける感性的要因の考察
    福山平成大学経営学部紀要 経営情報学科篇経営情報研究 (4) 17 - 26 1999
  • ファジィ区間データからの線形回帰モデル選択
    第14回経営工学国際会議プロシーディングス 2 1997 [Refereed]
  • KONISHI Mikihiko; OKUDA Tetsuji; KODONO Yukio; ASAI Kiyoji
    Journal of Japan Society for Fuzzy Theory and Systems 日本知能情報ファジィ学会 8 (4) 706 - 718 0915-647X 1996/08 [Refereed]
     
    In some systems which involve human beings, such as management systems or social systems, there are cases that we have to treat the data including the haman vagueness. In this paper, these data are treated as fuzzy data, and its probabilities of occurrence are defined by membership functions and statistical models using the definition of Zadeh's probability of fuzzy events. As, also, a ariterion to select a statistical model, AIC (Akaike's Information Criterion) has been defined. However, we cannot obtain AIC directly for a statistical model using fuzzy data. In this papaer, we propose a method to method to select a proper statistical model using AIC from fuzzy data. Using this method, we can select a proper statistical model by selecting a proper distribution model for fuzzy data, and the method extends the area of application of AIC. Furthermore, to investigate the usefulness, our method is applied to the selection problems of parameters of normal distributions, and its usefulness is illustrated using computer simulation.
  • Kodono Yukio
    The Fukuyama economic review Fukuyama University 20 (1) 434 - 452 0288-4542 1996/03
  • 古殿
    福山平成大学経営学部紀要 経営情報学科篇 経営情報研究 1 (1) 55 - 72 1996
  • 重複区間関数を用いるファジィ統計処理
    福山大学経済学論集 20 (第1・第2合併) 434 - 452 1995
  • ファジィ観測データの処理のための主成分分析
    第5回国際ファジィシステム、学会国際会議プロシーディングス 1 469 - 472 1993 [Refereed]
  • 小西 幹彦; 古殿 幸雄; 奥田 徹示; 浅居 喜代治
    日本経営工学会誌 社団法人日本経営工学会 43 (3) 0386-4812 1992/08 [Refereed]
  • KODONO Yukio; OKUDA Tetsuji; ASAI Kiyoji
    Journal of Japan Industrial Management Association 社団法人日本経営工学会 43 (1) 47 - 56 0386-4812 1992/04 
    In usual statistical data analysis, we describe statistical data by exact values. However, in modern complex and large-scale systems, it is difficult to treat the systems using only exact data. In other words, it occurs that we have to treat non-exact data involving human vagueness. In this paper, we define these data as fuzzy data and propose new methods which can treat the fuzzy data by usual statistical methods. Concretely, using fuzzy data from q populations consisting of regression models, we develop the methods to get the maximum likelihood estimates of their parameters by usual statistical methods under fuzzy observations. Furthermore, we investigate the validity of our methods by computer simulations under realistic situations.
  • KODONO Yukio; OKUDA Tetsuji; ASAI Kiyoji; SUGIURA Torahiko
    Journal of Japan Society for Fuzzy Theory and Systems 日本知能情報ファジィ学会 4 (1) 172 - 186 0915-647X 1992/02 [Refereed]
     
    In the management and the social system which contain human factors, there exist many cases that data including the human vagueness are treated. In this paper, we propose the new methods of estimation of discriminant functions in cases of one variable and two variables for the approximate maximum likelihood estimation by the fuzzy data obtained from two groups. In usual observations, it is desired that we get accurate data as much as possible, but in the case treating the data with human vagueness, it is more realistic that we consider the event which is observed by the interval data such as classified as fuzzy intervals. In this paper, therefore, we defined the fuzzy data using the concept of Zadeh's probability of fuzzy events and proposed new methods, employing this fuzzy data, to estimate the discriminant functions by usual statistical calculation. Furthermore, we investigated the availability of our method by computer simulation under realistic situations. Consequently, it became clear that our methods are useful.
  • ファジィ観測データに対する回帰モデルにおける近似的最尤推定
    オムニテック出版社 168 - 180 1992
  • ファジィ観測データを用いる主成分分析
    日本ファジィ学会誌 4 (3) 518 - 535 1992 [Refereed]
  • 古殿 幸雄; 奥田 徹示; 浅居 喜代治
    日本経営工学会誌 社団法人日本経営工学会 41 (6) 436 - 436 0386-4812 1991/02 [Refereed]
  • ファジィ観測データからの最尤推定
    第4回国際ファジィシステム学会国際会議プロシーディングス 185 - 188 1991 [Refereed]
  • OKUDA Tetsuji; KODONO Yukio; ASAI Kiyoji
    Journal of Japan Society for Fuzzy Theory and Systems 日本知能情報ファジィ学会 2 (3) 415 - 428 0915-647X 1990/08 [Refereed]
     
    In management and social systems which contain human factors, there exist many cases that data including the human vagueness are treated. In this paper, as the foundation of the analysis of the correlation between several kinds of fuzzy data the method estimating the bivariate moments of a population from fuzzy observation data is considered. It is usually desired that we get accurate observations as much as possible. However, in the treatment of the fuzzy data, it is reasonable to think that we observe the fuzzy events as the fuzzy interval data classified by fuzzy boundaries. Thus, in this paper, we define the fuzzy data using the concept of the probability of fuzzy events proposed by Zadeh and propose the method estimating the bivariate moments by the fuzzy data using the usual statistical calculation. Furthermore, the availability of the method is confirmed by the numerical example, the simulation and the simple observation experiments.
  • 奥田 徹示; 古殿 幸雄; 浅居 喜代治
    計測自動制御学会論文集 計測自動制御学会 26 (5) 564 - 571 0453-4654 1990/05
  • 2変量ファジィ観測に基づく統計的推定
    第3回国際ファジィシステム学会国際会議プロシーディングス 755 - 758 1989 [Refereed]

Books etc

Conference Activities & Talks

  • PBL活動に基づく因子分析  [Not invited]
    古殿幸雄
    日本経営工学会２０２３年度秋季大会､pp.98-99  2023/10
  • 中国学習アプリ「得到」の顧客満足度と関連要因の分析  [Not invited]
    姜 志浩; 古殿 幸雄
    日本経営工学会２０２３年度秋季大会､pp.96-97  2023/10
  • 学習塾アルバイト講師のモチベーション要因に関する研究－因子分析・テキストマイニングを用いて－  [Not invited]
    増田ゆい; 古殿幸雄
    日本経営工学会２０２３年度秋季大会､pp.94-95  2023/10
  • An Analysis of Skill Growth Through Project-Based Learning Activities
    Y.Kodono
    CANWEST International Research Congress 2023  2023/09
  • An Analysis of Factors Influencing Chinese Consumer’s Intention to Utilize: A Study of Appraisal Services  [Not invited]
    X. Yue; Y.Kodono
    CANWEST International Research Congress 2023  2023/09
  • The Impact of VLOG Promotion Content on Consumer Attitudes  [Not invited]
    L.Jiang; Y.Kodono
    CANWEST International Research Congress 2023  2023/09
  • Factor Analysis of Pre- and Post-PBL Activities Based on Essential Competencies for the 100-Year Life  [Not invited]
    Yukio Kodono
    Fuzzy System Symposium 2023  2023/09
  • Comparing Self-Assessments Before and After PBL Activities: Essential Competencies for the 100-Year Life  [Not invited]
    Yukio Kodono
    日本知能情報ファジィ学会第33回ソフトサイエンス・ワークショップ  2023/03
  • Designing Practical PBL Education that Connects to Society: From the Perspective of University Education  [Invited]
    Yukio Kodono
    人事実践科学会議 教育＆大学改革研究部会 オンラインシンポジウム  2023/02
  • Consideration of Post Covid-19 PBL Activities at a Business College based on a Kansai Dialect Questionnaire Survey on the Importance of Competence Factors Other than Basic Skills for Working Adults  [Not invited]
    Makoto Suhara; Yukio Kodono; Misato Fujii
    日本知能情報ファジィ学会第38回ファジィシステムシンポジウム  2022/09
  • Measures to Mitigate Information Asymmetry in C2C Transactions : Survey On Third Party Services (Appraisal Services)
    Shuuki Gaku; Yukio Kodono
    日本知能情報ファジィ学会第38回ファジィシステムシンポジウム  2022/09
  • A Study of the Motivation to Participate in Virtual CSR Co-Creation: Chinese Post-90s' Generation  [Not invited]
    Yukio Kodono; Cheng Huihui; Jiang Lu
    日本知能情報ファジィ学会第38回ファジィシステムシンポジウム  2022/09
  • 社会人基礎力修得を目指したビジネス系大学ポスト・コロナ版 PBL 活動の考察  [Not invited]
    須原誠; 古殿幸雄; 藤井美里; 高石学
    日本知能情報ファジィ学会第32回ソフトサイエンス・ワークショップ & 第26回 曖昧な気持ちに挑むワークショップ  2022/03
  • SIEのファジィVRIO分析  [Not invited]
    古殿幸雄; 厳聞
    日本経営工学会２０２１年度秋季大会､pp.87-88  2021/11
  • 中国の中古ブランド品取引についてのフォーカスグループインタビュー  [Not invited]
    岳修毅; 古殿幸雄
    日本経営工学会２０２１年度秋季大会､pp.89-90  2021/11
  • ネット・コミュニティが顧客の購買行動に与える影響―大阪市内中華系飲食店の事例研究―
    汪子清; 古殿幸雄
    日本経営工学会２０２１年度秋季大会､pp.93-94  2021/11
  • ファジィVRIO分析の任天堂への適用事例  [Not invited]
    古殿幸雄; 厳聞
    日本知能情報ファジィ学会第37回ファジィシステムシンポジウム  2021/09
  • VLOGプロモーションに関する消費者態度の相互関係  [Not invited]
    蒋露; 古殿幸雄
    日本知能情報ファジィ学会第37回ファジィシステムシンポジウム  2021/09
  • チームスポーツと個人スポーツの社会人基礎力比較  [Not invited]
    北山陽子; 古殿幸雄
    日本知能情報ファジィ学会第37回ファジィシステムシンポジウム  2021/09
  • バーチャルCSR共創の視点から見るアントフォレストについての事例研究  [Not invited]
    程慧慧; 古殿幸雄
    日本知能情報ファジィ学会第37回ファジィシステムシンポジウム  2021/09
  • Fuzzy VRIO Analysis  [Invited]
    Yukio Kodono
    UMSO-ISMA2020  2020/12
  • Five Forces Analysis of the Japanese Video Game Industry  [Not invited]
    Yan Wen,Yukio Kodono
    Soft Science Workshop  2020/03
  • Study on Globalization of Japanese Medical Companies based on Olympus Business Strategy Analysis in Chinese Medical Market
    Zhang Qian, Yukio Kodono
    Soft Science Workshop  2020/03
  • A Comparison of Fuzzy VRIO Analysis
    Yukio KODONO
    Fuzzy Systems Symposium  2019/08
  • Fuzzy VRIO Analysis of Olympus Endoscopes in China  [Not invited]
    Zhang Qian, Yukio Kodono
    Fuzzy Systems Symposium  2019/08
  • WJBL Retirement Survey for Dual Career Education  [Not invited]
    KODONO Yukio; HATAGISHI Kunie
    Fuzzy Systems Symposium  2018/09
  • A Study on Purchase Status of Beverage Vending Machines on Campus  [Not invited]
    KODONO Yukio
    Fuzzy Systems Symposium  2017/09
  • 生産スケジューリングにおけるファジィCCPM  [Not invited]
    中村 俊輔; 古殿 幸雄
    第32回ファジィシステムシンポジウム講演論文集  2016/08
  • A Study on the Fuzzy VRIO Analysis  [Not invited]
    KODONO Yukio
    第32回ファジィシステムシンポジウム  2016/08
  • Strategic Analysis based on Fuzzy Theory
    古殿幸雄、陳法恩、賈志聖
    Soft Science Workshop  2015/03
  • The external environment analysis of China’s food industry  [Not invited]
    Chia Chih Sheng YukioKodono
    Fuzzy Systems Symposium  2014/09
  • Fuzzy VRIO Analysis of Master Kong  [Not invited]
    Chia Chih ShengYukio Kodono
    Soft Science Workshop  2014/03
  • Fuzzy Five Forces Analysis of Chery Auto  [Not invited]
    Faen Chen Yukio Kodono
    Soft Science Workshop  2014/03
  • 賈 志聖; 古殿 幸雄
    ファジィシステムシンポジウム講演論文集  2013/09
  • 陳 法恩; 古殿 幸雄
    ファジィシステムシンポジウム講演論文集  2013/09
  • Business Environment Analysis of Chery Automobile  [Not invited]
    F.Chen and Y.Kodono
    Soft Science Workshop  2013/03
  • 小谷 直也; 古殿 幸雄
    ファジィシステムシンポジウム講演論文集  2011/09
  • A Study on Pairwise Comparison Scales for Fuzzy Exponential AHP  [Not invited]
    Naoya Kotani; Yukio Kodono
    Fuzzy Systems Symposium  2010/09
  • Construction of Fuzzy Reasoning Demand Forecasting Model of Season.  [Not invited]
    Shunsuke Nakamura; Yukio Kodono
    Fuzzy Systems Symposium  2009/09
  • Construction of Fuzzy Reasoning Demand Forecasting Model Concerning Management Data  [Not invited]
    Shunsuke Nakamura; Yukio kodono
    Fuzzy Systems Symposium  2009/07
  • A Study on Choice of the Web Design for Fuzzy Exponential AHP  [Not invited]
    Noya Kotani; Yukio Kodono
    Fuzzy Systems Symposium  2009/07
  • A Study on Weights of Fuzzy Exponential AHP  [Not invited]
    Naoya Kotani; Yukio Kodono
    Fuzzy Systems Symposium  2008/09
  • 中村 俊輔; 古殿 幸雄
    ファジィシステムシンポジウム講演論文集  2007/08
  • 小谷 直也; 古殿 幸雄
    ファジィシステムシンポジウム講演論文集  2007/08
  • Kotani Naoya; Kodono Yukio
    バイオメディカル・ファジィ・システム学会大会講演論文集 : BMFSA  2007/08 
    In this paper we propose the exponential fuzzy numbers in Analytical Hierarchy Process (AHP), employing the fuzzy concept. The objective was determined a method of deriving the weights of criteria and their alternatives. Next, the influence of fuzzy is examined by using the membership function. Specifically we use the exponential fuzzy numbers for the pairwise comparison scale. Same experiments with AHP were conducted using the pairwise comparison scale and the new pairwise comparison scale of the method was examined.
  • Nakamura Shunsuke; Kodono Yukio
    バイオメディカル・ファジィ・システム学会大会講演論文集 : BMFSA  2007/08 
    In this paper, sales of every day of a certain apparel store were investigated for the consumer's demand forecasting model construction, and the meteorological factor such as the temperature was investigated at the same time. And, consumer' s demand forecasting model is constructed by using meteorological factor in statistically clarifying the relation between these. Concretely, the fuzzy reasoning model to whom demand is forecast by trying the analysis of sales of every day and the relation between the number of visitors and the meteorological factor by applying a decentralized analysis, selecting the meteorological factor from this analytical result, and using the obtained factor is constructed.
  • Decision Making of Computer Graphics by Using Fuzzy Exponential AHP  [Not invited]
    Naoya Kotani; Yukio Kodono
    Soft Science Workshop  2007/03
  • Analyze of Hit Songs by Using Fuzzy Reasoning  [Not invited]
    Yukio Kodono; Michio Sakagami
    Soft Science Workshop  2007/03
  • Fuzzy Reasoning Model for Sales Forecasting of Apparel Business by Using Meteorological Factor  [Not invited]
    Shunsuke Nakamura; Yukio Kodono
    Soft Science Workshop  2007/03
  • 小谷 直也; 古殿 幸雄
    ファジィシステムシンポジウム講演論文集  2006/09
  • 季節型ファジィ需要予測モデル  [Not invited]
    第22回ファジィシステムシンポジウム講演論文集  2006
  • 気象データを用いる需要予測のための主成分分析  [Not invited]
    第16回ソフトサイエンス・ワークショップ講演論文集  2006
  • 一対比較値のスケール変化に伴う実験的考察  [Not invited]
    第16回ソフトサイエンス・ワークショップ講演論文集  2006
  • 小谷 直也; 古殿 幸雄
    ファジィシステムシンポジウム講演論文集  2005/09
  • 中村 俊輔; 古殿 幸雄
    ファジィシステムシンポジウム講演論文集  2005/09
  • ファジィ理論を用いるＡＨＰに関する研究  [Not invited]
    第20回ファジィシステムシンポジウム講演論文集  2004
  • ファジィ推論に基づく気象データによる需要予測  [Not invited]
    第20回ファジィシステムシンポジウム講演論文集  2004
  • KODONO Yukio
    ファジィシステムシンポジウム講演論文集  2000/09
  • 気温と消費者行動  [Not invited]
    第4回曖昧な気持ちに挑むワークショップ講演論文集  1999
  • 快適さと消費者行動  [Not invited]
    第15回ファジィシステムシンポジウム講演論文集  1999
  • 重複観測データ概念を用いるタイプ練習方法の比較研究  [Not invited]
    第14回ファジィシステムシンポジウム講演論文集  1998
  • KODONO Yukio; NISHIMOTO Yukie; ASAI Kiyoji
    ファジィシステムシンポジウム講演論文集  1997/06
  • 重複観測データ概念を用いるデータ解析(共著)  [Not invited]
    第13回ファジィシステムシンポジウム講演論文集  1997
  • KODONO Yukio; ASAI Kiyoji; KONISHI Mikihiko; OKUDA Tetsuji
    ファジィシステムシンポジウム講演論文集  1996/06
  • KONISHI Mikihiko; OKUDA Tetsuji; KODONO Yukio; ASAI Kiyoji
    ファジィシステムシンポジウム講演論文集  1996/06
  • 重複観測データ概念を用いるファジイ統計応用  [Not invited]
    第1回曖昧な気持ちに挑むワークショップ講演論文集  1996
  • 重複区間関数を用いるファジィ区間データの統計分布(共著)  [Not invited]
    第11回ファジィシステムシンポジウム講演論文集  1995
  • ファジィ統計処理における重複区間関数の役割(共著)  [Not invited]
    第10回ファジィシステムシンポジウム講演論文集  1994
  • ファジィ観測データからの回帰モデルとAIC(共著)  [Not invited]
    第10回ファジィシステムシンポジウム講演論文集  1994
  • 松本 義之; 奥田 徹示; 浅居 喜代治; 古殿 幸雄
    日本経営工学会誌  1993/08
  • 中川 雅央; 中田 雅士; 浅居 喜代治; 古殿 幸雄
    日本経営工学会誌  1993/08
  • Estimation of Information Criteria by using Fuzzy Observation Data  [Not invited]
    Mikihiko Konishi; Yukio Kodono; Tetsuji Okuda; Kiyoji Asai
    non-Engineering Workshop  1993/03
  • 重複区間関数を用いるファジィ観測データの統計的処理(共著)  [Not invited]
    第9回ファジィシステムシンポジウム講演論文集  1993
  • Fuzzy Compliance Control of Robot  [Not invited]
    Masashi Nakata; Yukio Kodono; Tetsuji Okuda; Kiyoji Asai
    Intelligent Systems Symposium  1992/10
  • 古殿 幸雄; 奥田 徹示; 浅居 喜代治
    日本行動計量学会大会発表論文抄録集  1992/09
  • 中田 雅士; 松本 義之; 古殿 幸雄; 奥田 徹示; 浅居 喜代治
    日本経営工学会誌  1992/08
  • 2変量正規分布モデルに対するファジィ情報量基準(共著)  [Not invited]
    第8回ファジィシステムシンポジウム講演論文集  1992
  • 奥田 徹示; 古殿 幸雄; 前原 啓二; 浅居 喜代治
    日本経営工学会誌  1991/08
  • 前原 啓二; 古殿 幸雄; 奥田 徹示; 浅居 喜代治
    日本経営工学会誌  1991/08
  • ファジィ観測データからの最尤推定判別関数(共著)  [Not invited]
    第7回ファジィシステムシンポジウム講演論文集  1991
  • 植田 義宏; 谷口 吉孝; 渡辺 輝政; 古殿 幸雄; 浅居 喜代治
    日本経営工学会誌  1990/08
  • 太田 裕之; 井之内 博夫; 日立 西部; 大石 靖久; 古殿 幸雄; 浅居 喜代治
    日本経営工学会誌  1990/08
  • 菱木 俊夫; 加治佐 環; 北 利幸; 古殿 幸雄; 浅居 喜代治
    日本経営工学会誌  1990/08
  • 前原 啓二; 古殿 幸雄; 奥田 徹示; 浅居 喜代治
    日本経営工学会誌  1990/08
  • ファジィ観測からの最尤推定(共著)  [Not invited]
    第6回ファジィシステムシンポジウム講演論文集  1990
  • 松本 竜己; 古殿 幸雄; 奥田 徹示; 浅居 喜代治
    日本経営工学会誌  1989/12
  • 広沢 博; 浅野 知伸; 川下 靖司; 古殿 幸雄; 奥田 徹示; 浅居 喜代治
    日本経営工学会誌  1989/08
  • ファジィデータ解析についての実験的考察(共著)  [Not invited]
    古殿 幸雄; 広沢 博; 浅野 知伸; 川下 靖司; 奥田 徹示; 浅居 喜代治
    第5回ファジィシステムシンポジウム講演論文集  1989
  • 古殿 幸雄; 奥田 徹示; 浅居 喜代治
    日本経営工学会誌  1988/08
  • Statistical Estimation by Using Fuzzy Observation Data  [Not invited]
    Tetsuji Okuda; Yukio Kodono; Kiyoji Asai
    SICE Kansai Symposium  1988/05
  • 2変量ファジィ観測に基づく統計的推測(共著)  [Not invited]
    古殿幸雄; 奥田徹示; 浅居喜代治
    第4回ファジィシステムシンポジウム講演論文集  1988
  • ファジィ観測に基づく統計的推定の情報量的評価(共著)  [Not invited]
    奥田徹示; 古殿幸雄; 浅居喜代治
    第4回ファジィシステムシンポジウム講演論文集  1988

MISC

Awards & Honors

  • 2020/12 International Society Management Engineers Life Fellow Award
  • 2014/09 日本知能情報ファジィ学会 貢献賞
     
    受賞者: 古殿 幸雄

Research Grants & Projects

  • ファジィデータ解析の経営情報分野への応用
  • Apprications for the Field of Management Information by Fuzzy Data Analysis

Committee Membership

  • 2021/11 -2021/11   Japan Industrial Management Association   Organizing Committee Chair

Academic Contribution

  • z世代・若年層を対象にしたオリジナルメニューの開発とそのプロモーション
    Date (from-to) :2023/04-2024/03/31
    Role: Planning etc
    Type: Others
  • イタリアンMystiqueのオリジナルパスタソースの開発・販売促進とマーケティング
    Date (from-to) :2023/03-2024/03/31
    Role: Planning etc
    Type: Others
  • 湯田温泉地域のメディカルツーリズムにおけるデジタルマーケティングの実践
    Date (from-to) :2023/03-2024/03/31
    Role: Academic research planning
    Type: Academic research
  • 自動運転配送ロボットのビジネススキームの構築
    Date (from-to) :2022/12/21-2024/03/31
    Role: Planning etc
    Type: Academic research
  • 若年層におけるｄ払い利用促進に関する研究
    Date (from-to) :2022/08-2023/01
    Role: Planning etc
    Type: Academic research
  • 青藍会グループ創立１００周年記念式典記念品の共同制作
    Date (from-to) :2022/03-2022/08/21
    Role: Planning etc
    Type: Others
  • 大阪育ちの納豆を用いる経営学の実践
    Date (from-to) :2018/04/01-2022/03/31
    Role: Planning etc
    Type: Academic research
  • 日本の伝統的和菓子である吉野の葛餅を用いる経営学の実践
    Date (from-to) :2017/07/26-2019/03/31
    Role: Planning etc
    Type: Academic research

Other link

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