A linguistic multicriteria analysis system combining fuzzy sets theory, ideal and anti-ideal points for location site selection

Expert Systems with Applications

Volumn 35, Issue 4, 2008, Pages 2041-2048

  Anagnostopoulos, Konstantinos ^a   Doukas, Haris ^a   Psarras, John ^a  

^a NATIONAL TECHNICAL UNIVERSITY OF ATHENS NTUA   (Greece)

Author keywords

Distance measures; Fuzzy numbers; Multicriteria analysis; Similarity measures

Indexed keywords

AGGLOMERATION; CHLORINE COMPOUNDS; COMPUTATIONAL LINGUISTICS; DECISION MAKING; DECISION THEORY; FUZZY INFERENCE; FUZZY LOGIC; FUZZY SETS; LINGUISTICS; PROBLEM SOLVING; SITE SELECTION;

DECISION FUNCTIONS; DECISION MAKER'S PREFERENCES; DECISION RULES; DISTANCE MEASURES; FUZZY LOGIC MODELING; FUZZY NUMBERS; FUZZY SETS THEORY; HUMAN THINKING; IDEAL POINTS; IDEAL SOLUTIONS; LINGUISTIC VARIABLES; MAXIMAL ENTROPY; MULTI-CRITERIA; MULTI-CRITERIA APPROACH; MULTICRITERIA ANALYSIS; MULTICRITERIA METHODS; OWA OPERATORS; SECOND-LEVEL; SIMILARITY MEASURES;

SET THEORY;

EID: 48749098898     PISSN: 09574174     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.eswa.2007.08.074     Document Type: Article

References (34)

1. Bellman R.E., and Zadeh L.A. Decision-making in a fuzzy environment. Management Science 17 3 (1970) 141-163
2. Chang Y.-H., and Yeh C.-H. A survey analysis of service quality for domestic airlines. European Journal of Operational Research 139 1 (2002) 166-177
3. Chen C.T. Extensions of the TOPSIS for group decision-making under fuzzy environment. Fuzzy Sets and Systems 114 1 (2000) 1-9
4. Chen C.-T. A fuzzy approach to select the location of the distribution center. Fuzzy Sets and Systems 118 1 (2001) 65-73
5. Chen S.J., and Chen S.M. Fuzzy risk analysis based on similarity measures of generalized fuzzy numbers. IEEE Transactions on Fuzzy Systems 11 (2003) 45-56
6. Chen S.J., and Hwang C.L. Fuzzy multiple attribute decision making methods and applications (1992), Springer, Berlin
7. Chen C.B., and Klein C.M. An efficient approach to solving fuzzy MADM problems. Fuzzy Sets and Systems 88 1 (1997) 51-67
8. Chen M.F., and Tzeng G.H. Combining grey relation and TOPSIS concepts for selecting an expatriate host country. Mathematical and Computer Modelling 40 13 (2004) 1473-1490
9. Chiou H.K., Tzeng G.H., and Cheng D.C. Evaluating sustainable fishing development strategies using fuzzy MCDM approach. Omega 33 3 (2005) 223-234
10. Ding J.F., and Liang G.S. Using fuzzy MCDM to select partners of strategic alliances for liner shipping. Information Sciences 173 1-3 (2005) 197-225
11. Dubois D., and Prade H. A review of fuzzy set aggregation connectives. Information Sciences 36 1-2 (1985) 85-121
12. Fodor J., and Roubens M. Fuzzy preference modelling and multicriteria decision support (1994), Kluwer Academic Publishers, Dordrecht
13. Fullér R., and Majlender P. An analytic approach for obtaining maximal entropy OWA operator weights. Fuzzy Sets and Systems 124 1 (2001) 53-57
14. Geldermann J., Spengler T., and Rentz O. Fuzzy outranking for environmental assessment. Case study: Iron and steel making industry. Fuzzy Sets and Systems 115 1 (2000) 45-65
15. Hwang C.L., and Yoon K. Multiple attribute decision making methods and applications (1981), Springer, Berlin Heidelber
16. Jahanshahloo G.R., Hosseinzadeh Lotfi F., and Izadikhah M. Extension of the TOPSIS method for decision-making problems with fuzzy data. Applied Mathematics and Computation 181 2 (2006) 1544-1551
17. Klir G., and Yuan B. Fuzzy sets and fuzzy logic: Theory and applications (1995), Prentice Hall, Upper Saddle River, New Jersey
18. Kuo M.-S., Liang G.-S., and Huang W.-C. Extensions of the multicriteria analysis with pairwise comparison under a fuzzy environment. International Journal of Approximate Reasoning 43 3 (2006) 268-285
19. Kuo M.-S., Tzeng G.-H., and Huang W.-C. Group decision-making based on concepts of ideal and anti-ideal points in a fuzzy environment. Mathematical and Computer Modelling 45 3-4 (2007) 324-339
20. Li R.J. Fuzzy method in group decision making. Computers and Mathematics with Applications 38 1 (1999) 91-101
21. Mizumoto M. Pictorial representations of fuzzy connectives, Part I: Cases of t-norms, t-conorms and averaging operators. Fuzzy Sets and Systems 31 2 (1989) 217-242
22. O'Hagan, M. (1988). Aggregating template rule antecedents in real-time expert systems with fuzzy set logic. In Proceedings of the 22nd Annual IEEE Asilomar Conference on Signals, Systems and Computers, Pacific Grove, CA.
23. Ölçer A.I., and Odabaşi A.Y. A new fuzzy multiple attributive group decision making methodology and its application to propulsion/manoeuvring system selection problem. European Journal of Operational Research 166 1 (2005) 93-114
24. Slowinski R. Fuzzy sets in decision analysis, operations research and statistics (1998), Kluwer Academic Publishers., Boston
25. Triantaphyllou E., and Lin C.-T. Development and evaluation of five fuzzy multiattribute decision-making methods. International Journal of Approximate Reasoning 14 14 (1996) 281-310
26. Wang Y.-M., and Elhag T.M.S. Fuzzy TOPSIS method based on alpha level sets with an application to bridge risk assessment. Expert Systems with Applications 31 2 (2006) 309-319
27. Wang J., and Lin Y.T. Fuzzy multicriteria group decision making approach to select configuration items for software development. Fuzzy Sets and Systems 134 3 (2003) 343-363
28. Xu Z.-S., and Chen J. An interactive method for fuzzy multiple attribute group decision making. Information Sciences 177 1 (2007) 248-263
29. Yager R.R. On ordered weighted averaging aggregation operators in multi-criteria decision making. IEEE Transactions on Systems, Man and Cybernetics 18 (1988) 183-190
30. Yeh C.H., and Deng H. A practical approach to fuzzy utilities comparison in fuzzy multicriteria analysis. International Journal of Approximate Reasoning 35 2 (2004) 179-194
31. Yeh C.H., Deng H., and Chang Y.H. Fuzzy multicriteria analysis for performance evaluation of bus companies. European Journal of Operational Research 126 3 (2000) 459-473
32. Zadeh, L. A. (1975). The concept of a linguistic variable and its application approximate reasoning, Part 1, 2, and Part 3. Information Sciences, 8 (3), 199-249; 8(4), 301-357; 9(1), 43-58.
33. Zeleny M. A concept of compromise solutions and the method of the displaced ideal. Computers & Operational Research 1 3-4 (1974) 439-996
34. Zimmermann H.-J., and Zysno P. Latent connectives in human decision making. Fuzzy Sets and Systems 4 1 (1980) 37-51