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Fuzzy risk analysis based on the ranking of generalized trapezoidal fuzzy numbers

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Abstract

In this paper, we present a new method for fuzzy risk analysis based on the ranking of generalized trapezoidal fuzzy numbers. The proposed method considers the centroid points and the standard deviations of generalized trapezoidal fuzzy numbers for ranking generalized trapezoidal fuzzy numbers. We also use an example to compare the ranking results of the proposed method with the existing centroid-index ranking methods. The proposed ranking method can overcome the drawbacks of the existing centroid-index ranking methods. Based on the proposed ranking method, we also present an algorithm to deal with fuzzy risk analysis problems. The proposed fuzzy risk analysis algorithm can overcome the drawbacks of the one we presented in [7].

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References

  1. Chen SH (1985) Operations on fuzzy numbers with function principal. Tamkang J Manag Sci 6(1):13–25

    Google Scholar 

  2. Chen SH (1999) Ranking generalized fuzzy number with graded mean integration. In: Proceedings of the Eighth International Fuzzy Systems Association World Congress, vol 2. Taipei, Taiwan, Republic of China, pp 899–902

  3. Chen SM (1997) A new method for tool steel materials selection under fuzzy environment. Fuzzy Sets Syst 92(3):265–274

    Article  Google Scholar 

  4. Chen SJ, Chen SM (2002) A new ranking method for handling outsourcing targets selection problems. In: Proceedings of the 13th international conference on information management, vol 1. Taipei, Taiwan, Republic of China, pp 103–110

  5. Chen SJ, Chen SM (2000) A new simple center-of-gravity method for handling the fuzzy ranking and the defuzzification problems. In: Proceedings of the eighth national conference on fuzzy theory and its applications. Taipei, Taiwan, Republic of China

  6. Chen SJ, Chen SM (2003) A new method for handling multi-criteria fuzzy decision making problems using FN-IOWA operators. Cybern Syst 34(2):109–137

    Article  Google Scholar 

  7. Chen SJ, Chen SM (2003) Fuzzy risk analysis based on similarity measures of generalized fuzzy numbers. IEEE Trans Fuzzy Syst 11(1):45–56

    Article  Google Scholar 

  8. Chen SJ, Hwang CL (1992) Fuzzy multiple attribute decision making. Springer-Verlag, Heidelberg, Berlin

    MATH  Google Scholar 

  9. Cheng CH (1998) A new approach for ranking fuzzy numbers by distance method. Fuzzy Sets Syst 95(3):307–317

    Article  Google Scholar 

  10. Cheng CH (1999) Evaluating weapon systems using ranking fuzzy numbers. Fuzzy Sets Syst 107(1):25–35

    Article  Google Scholar 

  11. Cheng CH (1999) A simple fuzzy group decision making method. In: Proceedings of the eighth IEEE international conference on fuzzy systems, vol 2. Kaohsiung, Taiwan, pp 22–25

  12. Choobineh F, Li H (1990) A new index for ranking fuzzy numbers. In: Proceedings of the first international symposium on uncertainty modeling and analysis, vol 3–5. Nebraska, USA, pp 387– 391

  13. Chu TC (2002) Ranking fuzzy numbers with an area between the centroid point and original point. Comput Math Appl 43(1–2):111–117

    Article  MathSciNet  Google Scholar 

  14. Kangari R, Riggs LS (1989) Construction risk assessment by linguistics. IEEE Trans Eng Manag 36(2):126–131

    Article  Google Scholar 

  15. Lee JH, Hyung LK (2000) A method for ranking fuzzily fuzzy numbers. In: Proceedings of the ninth IEEE international conference on fuzzy systems, vol 1. Taejon, South Korea, pp 71–76

  16. Lee-Kwang H, Lee JH (1999) A method for ranking fuzzy numbers and its application to decision-making. IEEE Trans Fuzzy Syst 7(6):677–685

    Article  Google Scholar 

  17. Modarres M, Nezhad SS (2001) Ranking fuzzy numbers by preference ratio. Fuzzy Sets Syst 118(3):429–436

    Article  Google Scholar 

  18. Murakami S, Maeda S, Imamura S (1983) Fuzzy decision analysis on the development of centralized regional energy control systems. In: Proceedings of the IFAC symposium on fuzzy information, knowledge representation and decision analysis. Pergamon Press, New York, pp 363–368

  19. Schmucker KJ (1984) Fuzzy sets, natural language computations, and risk analysis. Computer Science Press, MD

    MATH  Google Scholar 

  20. Subasic P, Hirota K (1998) Similarity rules and gradual rules for analogical and interpolative reasoning with imprecise data. Fuzzy Sets Syst 96(1):53–75

    Article  MathSciNet  Google Scholar 

  21. Wierman MJ (1997) Central values of fuzzy numbers—defuzzification. Inform Sci 100(1–4):207–215

    Article  MathSciNet  Google Scholar 

  22. Yager RR (1992) Fuzzy sets and approximate reasoning in decision and control. In: Proceedings of the 1992 IEEE international conference on fuzzy systems. San Diego, California, pp 415–428

  23. Yager RR, Filev DP (1993) On the issue of defuzzification and selection based on a fuzzy set. Fuzzy Sets Syst 55(3):255–272

    Article  MathSciNet  Google Scholar 

  24. Yager RR (1980) On a general class of fuzzy connectives. Fuzzy Sets Syst 4(6):235–242

    Article  MathSciNet  Google Scholar 

  25. Zhang WR (1986) Knowledge representation using linguistic fuzzy relations. Ph.D. Dissertation, University of South Carolina, USA

Download references

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Correspondence to Shyi-Ming Chen.

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Shi-Jay Chen was born in 1972, in Taipei, Taiwan, Republic of China. He received the B.S. degree in information management from the Kaohsiung Polytechnic Institute, Kaohsiung, Taiwan, and the M.S. degree in information management from the Chaoyang University of Technology, Taichung, Taiwan, in 1997 and 1999, respectively. He received the Ph.D. degree at the Department of Computer Science and Information Engineering, National Taiwan University of Science and Technology, Taipei, Taiwan, in October 2004. His research interests include fuzzy systems, multicriteria fuzzy decisionmaking, and artificial intelligence.

Shyi-Ming Chen was born on January 16, 1960, in Taipei, Taiwan, Republic of China. He received the Ph.D. degree in Electrical Engineering from National Taiwan University, Taipei, Taiwan, in June 1991. From August 1987 to July 1989 and from August 1990 to July 1991, he was with the Department of Electronic Engineering, Fu-Jen University, Taipei, Taiwan. From August 1991 to July 1996, he was an Associate Professor in the Department of Computer and Information Science, National Chiao Tung University, Hsinchu, Taiwan. From August 1996 to July 1998, he was a Professor in the Department of Computer and Information Science, National Chiao Tung University, Hsinchu, Taiwan. From August 1998 to July 2001, he was a Professor in the Department of Electronic Engineering, National Taiwan University of Science and Technology, Taipei, Taiwan. Since August 2001, he has been a Professor in the Department of Computer Science and Information Engineering, National Taiwan University of Science and Technology, Taipei, Taiwan. He was a Visiting Scholar in the Department of Electrical Engineering and Computer Science, University of California, Berkeley, in 1999. He was a Visiting Scholar in the Institute of Information Science, Academia Sinica, Republic of China, in 2003. He has published more than 250 papers in referred journals, conference proceedings and book chapters. His research interests include fuzzy systems, information retrieval, knowledge-based systems, artificial intelligence, neural networks, data mining, and genetic algorithms.

Dr. Chen has received several honors and awards, including the 1994 Outstanding Paper Award o f the Journal of Information and Education, the 1995 Outstanding Paper Award of the Computer Society of the Republic of China, the 1995 and 1996 Acer Dragon Thesis Awards for Outstanding M.S. Thesis Supervision, the 1995 Xerox Foundation Award for Outstanding M.S. Thesis Supervision, the 1996 Chinese Institute of Electrical Engineering Award for Outstanding M.S. Thesis Supervision, the 1997 National Science Council Award, Republic of China, for Outstanding Undergraduate Student's Project Supervision, the 1997 Outstanding Youth Electrical Engineer Award of the Chinese Institute of Electrical Engineering, Republic of China, the Best Paper Award of the 1999 National Computer Symposium, Republic of China, the 1999 Outstanding Paper Award of the Computer Society of the Republic of China, the 2001 Institute of Information and Computing Machinery Thesis Award for Outstanding M.S. Thesis Supervision, the 2001 Outstanding Talented Person Award, Republic of China, for the contributions in Information Technology, the 2002 Institute of information and Computing Machinery Thesis Award for Outstanding M.S. Thesis Supervision, the Outstanding Electrical Engineering Professor Award granted by the Chinese Institute of Electrical Engineering (CIEE), Republic of China, the 2002 Chinese Fuzzy Systems Association Best Thesis Award for Outstanding M.S. Thesis Supervision, the 2003 Outstanding Paper Award of the Technological and Vocational Education Society, Republic of China, the 2003 Acer Dragon Thesis Award for Outstanding Ph.D. Dissertation Supervision, the 2005 “Operations Research Society of Taiwan” Award for Outstanding M.S. Thesis Supervision, the 2005 Acer Dragon Thesis Award for Outstanding Ph.D. Dissertation Supervision, the 2005 Taiwan Fuzzy Systems Association Award for Outstanding Ph.D. Dissertation Supervision, and the 2006 “Operations Research Society of Taiwan” Award for Outstanding M.S. Thesis Supervision.

Dr. Chen is currently the President of the Taiwanese Association for Artificial Intelligence (TAAI). He is a Senior Member of the IEEE, a member of the ACM, the International Fuzzy Systems Association (IFSA), and the Phi Tau Phi Scholastic Honor Society. He was an administrative committee member of the Chinese Fuzzy Systems Association (CFSA) from 1998 to 2004. He is an Associate Editor of the IEEE Transactions on Systems, Man, and Cybernetics - Part C, an Associate Editor of the IEEE Computational Intelligence Magazine, an Associate Editor of the Journal of Intelligent & Fuzzy Systems, an Editorial Board Member of the International Journal of Applied Intelligence, an Editor of the New Mathematics and Natural Computation Journal, an Associate Editor of the International Journal of Fuzzy Systems, an Editorial Board Member of the International Journal of Information and Communication Technology, an Editorial Board Member of the WSEAS Transactions on Systems, an Editor of the Journal of Advanced Computational Intelligence and Intelligent Informatics, an Associate Editor of the WSEAS Transactions on Computers, an Editorial Board Member of the International Journal of Computational Intelligence and Applications, an Editorial Board Member of the Advances in Fuzzy Sets and Systems Journal, an Editor of the International Journal of Soft Computing, an Editor of the Asian Journal of Information Technology, an Editorial Board Member of the International Journal of Intelligence Systems Technologies and Applications, an Editor of the Asian Journal of Information Management, an Associate Editor of the International Journal of Innovative Computing, Information and Control, and an Editorial Board Member of the International Journal of Computer Applications in Technology. He was an Editor of the Journal of the Chinese Grey System Association from 1998 to 2003. He is listed in International Who's Who of Professionals, Marquis Who's Who in the World, and Marquis Who's Who in Science and Engineering.

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Chen, SJ., Chen, SM. Fuzzy risk analysis based on the ranking of generalized trapezoidal fuzzy numbers. Appl Intell 26, 1–11 (2007). https://doi.org/10.1007/s10489-006-0003-5

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