TOPSIS-based group decision-making methodology in intuitionistic fuzzy setting

Information Sciences

Volumn 277, Issue , 2014, Pages 141-153

  Yue, Zhongliang ^a  

^a GUANGDONG OCEAN UNIVERSITY   (China)

Author keywords

Extended TOPSIS technique; Group decision making; Intuitionistic fuzzy number; Weight of decision maker

Indexed keywords

FUZZY SETS; MANAGERS;

DECISION-MAKING PROBLEM; EXTENDED TOPSIS; GROUP DECISION-MAKING; INTUITIONISTIC FUZZY; INTUITIONISTIC FUZZY NUMBER; PREFERENCE OF ALTERNATIVES; TECHNICAL ADVANCES; WEIGHT OF DECISION MAKERS;

DECISION MAKING;

EID: 84901807289     PISSN: 00200255     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.ins.2014.02.013     Document Type: Article

References (60)

1. N. Agell, M. Sánchez, F. Prats, and L. Roselló Ranking multi-attribute alternatives on the basis of linguistic labels in group decisions Inf. Sci. 209 2012 49 60
2. K. Atanassov Intuitionistic fuzzy sets Fuzzy Sets Syst. 20 1986 87 96
3. K. Atanassov Intuitionistic Fuzzy Sets 1999 Physica-Verlag
4. A.I. Ban, L. Coroianu, and Nearest interval triangular and trapezoidal approximation of a fuzzy number preserving ambiguity Int. J. Approx. Reason. 53 2012 805 836
5. S. Belenson, and K. Kapur An algorithm for solving multicriterion linear programming problems with examples Oper. Res. Q. 24 1973 65 77
6. F. Boran, S. Geně, M. Kurt, and D. Akay A multi-criteria intuitionistic fuzzy group decision making for supplier selection with TOPSIS method Expert Syst. Appl. 36 2009 11363 11368
7. F.E. Boran, and D. Akay A biparametric similarity measure on intuitionistic fuzzy sets with applications to pattern recognition Inf. Sci. 255 2013 45 57
8. Y.H. Chang, C.H. Yeh, and Y.W. Chang A new method selection approach for fuzzy group multicriteria decision making Appl. Soft Comput. 13 2013 2179 2187
9. S.M. Chen, T.E. Lin, and L.W. Lee Group decision making using incomplete fuzzy preference relations based on the additive consistency and the order consistency Inf. Sci. 259 2014 1 15
10. F. Chiclana, J. Tapia GarcíA, M. Del Moral, and E. Herrera-Viedma A statistical comparative study of different similarity measures of consensus in group decision making Inf. Sci. 221 2013 110 123
11. T. Chu, and Y. Lin An interval arithmetic based fuzzy TOPSIS model Expert Syst. Appl. 36 2009 10870 10876
12. D. Dalalah, M. Hayajneh, and F. Batieha A fuzzy multi-criteria decision making model for supplier selection Expert Syst. Appl. 38 2011 8384 8391
13. P. Dheena, and G. Mohanraj Multicriteria decision-making combining fuzzy set theory, ideal and anti-ideal points for location site selection Expert Syst. Appl. 38 2011 13260 13265
14. A. Hatami-Marbini, and M. Tavana An extension of the Electre I method for group decision-making under a fuzzy environment Omega 39 2010 373 386
15. E. Herrera-Viedma, L. Martinez, F. Mata, and F. Chiclana A consensus support system model for group decision-making problems with multigranular linguistic preference relations IEEE Trans. Fuzzy Syst. 13 2005 644 658
16. K.C. Hung, and K.P. Lin Long-term business cycle forecasting through a potential intuitionistic fuzzy least-squares support vector regression approach Inf. Sci. 224 2013 37 48
17. C. Hwang, and K. Yoon Multiple Attribute Decision Making: Methods and Applications 1981 Springer-Verlag Berlin
18. C.M. Hwang, M.S. Yang, W.L. Hung, and M.G. Lee A similarity measure of intuitionistic fuzzy sets based on the Sugeno integral with its application to pattern recognition Inf. Sci. 189 2012 93 109
19. C. Kahraman, O. Engin, Ö. Kabak, and İ. Kaya Information systems outsourcing decisions using a group decision-making approach Eng. Appl. Artif. Intell. 22 2009 832 841
20. P.P. Kalbar, S. Karmakar, and S.R. Asolekar The influence of expert opinions on the selection of wastewater treatment alternatives: A group decision-making approach J. Environ. Manage. 128 2013 844 851
21. A. Kelemenis, and D. Askounis A new TOPSIS-based multi-criteria approach to personnel selection Expert Syst. Appl. 37 2010 4999 5008
22. S. Khaleie, M. Fasanghari, and E. Tavassoli Supplier selection using a novel intuitionist fuzzy clustering approach Appl. Soft Comput. 12 2012 1741 1754
23. K. Khalili-Damghani, and S. Sadi-Nezhad A hybrid fuzzy multiple criteria group decision making approach for sustainable project selection Appl. Soft Comput. 13 2013 339 352
24. M. Kuo, G. Tzeng, and W. Huang Group decision-making based on concepts of ideal and anti-ideal points in a fuzzy environment Math. Comput. Modell. 45 2007 324 339
25. Y. Lin, P. Lee, T. Chang, and H. Ting Multi-attribute group decision making model under the condition of uncertain information Automat. Constr. 17 2008 792 797
26. P. Liu, and F. Jin Methods for aggregating intuitionistic uncertain linguistic variables and their application to group decision making Inf. Sci. 205 2012 58 71
27. D. Meng, and Z. Pei On weighted unbalanced linguistic aggregation operators in group decision making Inf. Sci. 223 2013 31 41
28. D.C. Morais, and A.T. de Almeida Group decision making on water resources based on analysis of individual rankings Omega 40 2012 42 52
29. J. Park, I. Park, Y. Kwun, and X. Tan Extension of the TOPSIS method for decision making problems under interval-valued intuitionistic fuzzy environment Appl. Math. Modell. 35 2011 2544 2556
30. R.M. RodríGuez, L. MartINez, and F. Herrera A group decision making model dealing with comparative linguistic expressions based on hesitant fuzzy linguistic term sets Inf. Sci. 241 2013 28 42
31. E. Roghanian, J. Rahimi, and A. Ansari Comparison of first aggregation and last aggregation in fuzzy group TOPSIS Appl. Math. Modell. 34 2010 3754 3766
32. A. Sanayei, S. Farid Mousavi, and A. Yazdankhah Group decision making process for supplier selection with VIKOR under fuzzy environment Expert Syst. Appl. 37 2010 24 30
33. M. Sayadi, M. Heydari, and K. Shahanaghi Extension of VIKOR method for decision making problem with interval numbers Appl. Math. Modell. 33 2009 2257 2262
34. H. Shih Incremental analysis for MCDM with an application to group TOPSIS Eur. J. Oper. Res. 186 2008 720 734
35. H. Shih, H. Shyur, and E. Lee An extension of TOPSIS for group decision making Math. Comput. Modell. 45 2007 801 813
36. H. Shyur, and H. Shih A hybrid MCDM model for strategic vendor selection Math. Comput. Modell. 44 2006 749 761
37. E. Szmidt, and J. Kacprzyk Distances between intuitionistic fuzzy sets Fuzzy Sets Syst. 114 2000 505 518
38. E. Szmidt, and J. Kacprzyk Using intuitionistic fuzzy sets in group decision making Control Cybern. 31 2002 1037 1054
39. E. Szmidt, and J. Kacprzyk A similarity measure for intuitionistic fuzzy sets and its application in supporting medical diagnostic reasoning Artif. Intell. Soft Comput.-ICAISC 2004 2004 388 393
40. B. Vahdani, S.M. Mousavi, R. Tavakkoli-Moghaddam, and H. Hashemi A new design of the elimination and choice translating reality method for multi-criteria group decision-making in an intuitionistic fuzzy environment Appl. Math. Modell. 37 2013 1781 1799
41. G. Wei, X. Zhao, and R. Lin Some hesitant interval-valued fuzzy aggregation operators and their applications to multiple attribute decision making Knowl.-Based Syst. 46 2013 43 53
42. Z. Xu A deviation-based approach to intuitionistic fuzzy multiple attribute group decision making Group Decis. Negot. 19 2010 57 76
43. F. Ye, and Y. Li Group multi-attribute decision model to partner selection in the formation of virtual enterprise under incomplete information Expert Syst. Appl. 36 2009 9350 9357
44. L. Yu, and K. Lai A distance-based group decision making methodology for multi-person multi-criteria emergency decision support Decis. Support Syst. 51 2010 307 315
45. Z. Yue A method for group decision-making based on determining weights of decision makers using TOPSIS Appl. Math. Modell. 35 2011 1926 1936
46. Z. Yue An approach to aggregating interval numbers into interval-valued intuitionistic fuzzy information for group decision making Expert Syst. Appl. 38 2011 6333 6338
47. Z. Yue An extended TOPSIS for determining weights of decision makers with interval numbers Knowl.-Based Syst. 24 2011 146 153
48. Z. Yue Application of the projection method to determine weights of decision makers for group decision making Sci. Iran. 19 2012 872 878
49. Z. Yue Approach to group decision making based on determining the weights of experts by using projection method Appl. Math. Modell. 36 2012 2900 2910
50. Z. Yue An avoiding information loss approach to group decision making Appl. Math. Modell. 37 2013 112 126
51. Z. Yue Group decision making with multi-attribute interval data Inf. Fusion 14 2013 551 561
52. Z. Yue, and Y. Jia An application of soft computing technique in group decision making under interval-valued intuitionistic fuzzy environment Appl. Soft Comput. 13 2013 2490 2503
53. Z. Yue, and Y. Jia A method to aggregate crisp values into interval-valued intuitionistic fuzzy information for group decision making Appl. Soft Comput. 13 2013 2304 2317
54. Z. Yue, Y. Jia, and G. Ye An approach for multiple attribute group decision making based on intuitionistic fuzzy information Int. J. Uncertainty Fuzziness Knowl.-Based Syst. 17 2009 317 332
55. L. Zadeh Fuzzy sets Inf. Control 8 1965 338 353
56. M. Zeleny A concept of compromise solutions and the method of the displaced ideal Comput. Oper. Res. 1 1974 479 496
57. H. Zhang, and L. Yu New distance measures between intuitionistic fuzzy sets and interval-valued fuzzy sets Inf. Sci. 245 2013 181 196
58. Z. Zhang Hesitant fuzzy power aggregation operators and their application to multiple attribute group decision making Inf. Sci. 234 2013 150 181
59. Z. Zhang, and C. Guo A method for multi-granularity uncertain linguistic group decision making with incomplete weight information Knowl.-Based Syst. 26 2012 111 119
60. X. Zhao, R. Lin, and G. Wei Fuzzy prioritized operators and their application to multiple attribute group decision making Appl. Math. Modell. 37 2013 4759 4770