An improved fuzzy risk analysis based on a new similarity measures of generalized fuzzy numbers

Expert Systems with Applications

Volumn 38, Issue 8, 2011, Pages 9179-9185

  Hejazi, S R ^a   Doostparast, A ^a   Hosseini, S M ^a  

^a ISFAHAN UNIVERSITY OF TECHNOLOGY   (Iran)

Author keywords

Fuzzy risk analysis; Generalized fuzzy numbers; Linguistic values; Similarity measures

Indexed keywords

FUZZY NUMBERS; FUZZY RISK ANALYSIS; GENERALIZED FUZZY NUMBERS; GEOMETRIC DISTANCES; LINGUISTIC VALUES; NOVEL METHODS; PROBABILITY OF FAILURE; SIMILARITY MEASURE; SIMILARITY MEASUREMENTS; SIMILARITY MEASURES;

FUZZY RULES; FUZZY SETS; LINGUISTICS; QUALITY ASSURANCE; RISK ANALYSIS;

RISK ASSESSMENT;

EID: 79953673850     PISSN: 09574174     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.eswa.2011.01.101     Document Type: Article

References (13)

1. S.H. Chen Operations on fuzzy numbers with function principal Tamkang Journal of Management Sciences 6 1 1985 13 25
2. S.M. Chen New methods for subjective mental workload assessment and fuzzy risk analysis Cybernetics and Systems 27 5 1996 449 472
3. Chen, S. H. (1999). Ranking generalized fuzzy numbers with graded mean integration. In proceedings of eighth international fuzzy systems association world congress: Vol. 2. (pp. 899-902). Taipei, Taiwan, Republic of China.
4. Chen, J. H.; & Chen, S. M. (2006). Anew method for ranking generalized fuzzy numbers for handling fuzzy risk analysis problems. In Proceedings of the nineth joint conference on information sciences (pp. 1196-1199). Kaohsiung, Taiwan, Republic of China.
5. S.J. Chen, and S.M. Chen Fuzzy risk analysis based on measures of similarity between interval-valued fuzzy numbers Computers & Mathematics with Applications 55 8 2008 1670 1685
6. S.M. Chen, and J.H. Chen Fuzzy risk analysis based on ranking generalized fuzzy numbers with different heights and different spreads Expert systems and Applications 36 2009 2009 6833 6842
7. Hsieh, C. H. & Chen, S. H. (1999). Similarity of generalized fuzzy numbers with graded mean integration representation. In Proceedings of 8thinternational fuzzy systems association world congress: Vol. 2 (pp. 551-555). Taipei, Taiwan, Republic of China.
8. Lee, H. S. (1999). An optional aggregation method for fuzzy opinions of group decision. In proceedings of the 1999 IEEE international conference on systems, man, and cybernetics: Vol.3 (pp. 314-319).
9. Schmucker, K. J. (1984). Fuzzy sets, natural language computations, and risk analysis. MD: Computer Science Press.
10. Y.M. Wang, K.S. Chin, G.K.K. Poon, and J.B. Yang Risk evaluation in failure mode and effect analysis using fuzzy weighted geometric mean Expert Systems with Applications 36 2009 2009 1195 1207
11. Y.M. Wang, and T.M.S. Elhang Fuzzy TOPSIS method based on alpha level sets with an application to bridge risk assessment Expert Systems With Applications 31 2 2006 309 319
12. S.H. Wei, and S.M. Chen A new approach for fuzzy risk analysis based on similarity measures of generalized fuzzy numbers Expert Systems with Applications 36 2009 2009 589 598
13. Zhang, W. R. (1986). Knowledge representation using linguistic fuzzy relations. Ph.d. Dissertation, University of South California, USA.