An improved consensus-based group decision making model with heterogeneous information

Applied Soft Computing Journal

Volumn 35, Issue , 2015, Pages 850-863

  Zhang, Feng ^a,b   Ignatius, Joshua ^b   Zhao, Yajun ^a   Lim, Chee Peng ^c   Ghasemi, Mohammadreza ^b   Ng, Peh Sang ^b  

^a HEBEI UNIVERSITY   (China)

^b SCHOOL OF PHYSICS   (Malaysia)

^c DEAKIN UNIVERSITY   (Australia)

Author keywords

Consensus measure; Group decision making; Heterogeneous information

Indexed keywords

FUZZY SETS;

AGGREGATION MECHANISM; CONSENSUS MEASURE; DISSIMILARITY MEASURES; GROUP DECISION MAKING; GROUP DECISION-MAKING MODELS; HETEROGENEOUS INFORMATION; INDIVIDUAL PREFERENCE; INTUITIONISTIC FUZZY SETS;

DECISION MAKING;

EID: 84939654324     PISSN: 15684946     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.asoc.2015.03.055     Document Type: Article

References (64)

1. F. Chiclana, F. Herrera, and E. Herrera-Viedma Integrating three representation models in fuzzy multipurpose decision making based on fuzzy preference relations Fuzzy Sets Syst. 97 1998 33 48
2. E. Herrera-Viedma, F. Herrera, and F. Chiclana A consensus model for multiperson decision making with different preference structures IEEE Trans. Syst. Man Cybern. A: Syst. Hum. 32 2002 394 402
3. F. Herrera, E. Herrera-Viedma, and L. Martínez A fusion approach for managing multi-granularity linguistic term sets in decision making Fuzzy Sets Syst. 114 2000 43 58
4. F. Herrera, L. Martínez, and P.J. Sánchez Managing non-homogeneous information in group decision making Eur. J. Oper. Res. 166 2005 115 132
5. F. Mata, L. Martínez, and E. Herrera-Viedma An adaptive consensus support model for group decision-making problems in a multigranular fuzzy linguistic context IEEE Trans. Fuzzy Syst. 17 2009 279 290
6. L. Martínez, J. Liu, D. Ruan, and J.-B. Yang Dealing with heterogeneous information in engineering evaluation processes Inf. Sci. 177 2007 1533 1542
7. F. Herrera, E. Herrera-Viedma, and L. Martínez A fuzzy linguistic methodology to deal with unbalanced linguistic term sets IEEE Trans. Fuzzy Syst. 16 2008 354 370
8. F.J. Cabrerizo, S. Alonso, and E. Herrera-Viedma A consensus model for group decision making problems with unbalanced fuzzy linguistic information Int. J. Inf. Technol. Decis. Mak. 8 2009 109 131
9. J. Morente-Molinera, I. Pérez, R. Ureña, and E. Herrera-Viedma On multi-granular fuzzy linguistic modelling in group decision making problems: a systematic review and future trends Knowl. Based Syst. 74 2015 49 60
10. R.M. Axelrod The Evolution of Cooperation 2006 Basic Books
11. I.J. Pérez, F.J. Cabrerizo, S. Alonso, and E. Herrera-Viedma A new consensus model for group decision making problems with non-homogeneous experts IEEE Trans. Syst. Man Cybern.: Syst. 44 2014 494 498
12. S. Alonso, I.J. Pérez, F.J. Cabrerizo, and E. Herrera-Viedma A linguistic consensus model for web 2.0 communities Appl. Soft Comput. 13 2013 149 157
13. F.J. Cabrerizo, J.M. Moreno, I.J. Pérez, and E. Herrera-Viedma Analyzing consensus approaches in fuzzy group decision making: advantages and drawbacks Soft Comput. 14 2010 451 463
14. F. Zhang, J. Ignatius, C.P. Lim, and M. Goh A two-stage dynamic group decision making method for processing ordinal information Knowl. Based Syst. 70 2014 189 202
15. F. Chiclana, F. Herrera, and E. Herrera-Viedma Integrating multiplicative preference relations in a multipurpose decision-making model based on fuzzy preference relations Fuzzy Sets Syst. 122 2001 277 291
16. R. Ramanathan, and L.S. Ganesh Group preference aggregation methods employed in AHP: an evaluation and an intrinsic process for deriving members' weightages Eur. J. Oper. Res. 79 1994 249 265
17. E. Forman, and K. Peniwati Aggregating individual judgments and priorities with the analytic hierarchy process Eur. J. Oper. Res. 108 1998 165 169
18. S. Saint, and J.R. Lawson Rules for Reaching Consensus: A Modern Approach to Decision Making 1994 Pfeiffer San Diego
19. R.R. Yager Penalizing strategic preference manipulation in multi-agent decision making IEEE Trans. Fuzzy Syst. 9 2001 393 403
20. D. Dubois, and H. Prade Possibility theory: qualitative and quantitative aspects P. Smets, Quantified Representation of Uncertainty and Imprecision 1998 Springer Netherlands
21. R.B. Cialdini Harnessing the science of persuasion Harv. Bus. Rev. 79 2001 72 81
22. E. Herrera-Viedma, F.J. Cabrerizo, J. Kacprzyk, and W. Pedrycz A review of soft consensus models in a fuzzy environment Inf. Fusion 17 2014 4 13
23. B.S. Ahn, and K.S. Park Comparing methods for multiattribute decision making with ordinal weights Comput. Oper. Res. 35 2008 1660 1670
24. Y.-M. Wang, and T.M.S. Elhag On the normalization of interval and fuzzy weights Fuzzy Sets Syst. 157 2006 2456 2471
25. F. Zhang, J. Ignatius, C.P. Lim, and Y. Zhao A new method for deriving priority weights by extracting consistent numerical-valued matrices from interval-valued fuzzy judgement matrix Inf. Sci. 279 2014 280 300
26. F.J. Cabrerizo, E. Herrera-Viedma, and W. Pedrycz A method based on PSO and granular computing of linguistic information to solve group decision making problems defined in heterogeneous contexts Eur. J. Oper. Res. 230 2013 624 633
27. A. Papoulis, and S.U. Pillai Probability, Random Variables, and Stochastic Processes 2002 Tata McGraw-Hill Education
28. E. Szmidt, and J. Kacprzyk Ranking intuitionistic fuzzy alternatives Notes Intuit. Fuzzy Sets 14 2008 48 56
29. E. Szmidt, J. Kacprzyk, and P. Bujnowski How to measure the amount of knowledge conveyed by Atanassov's intuitionistic fuzzy sets Inf. Sci. 257 2014 276 285
30. E. Szmidt, and J. Kacprzyk Distances between intuitionistic fuzzy sets Fuzzy Sets Syst. 114 2000 505 518
31. W.V. Leekwijck, and E.E. Kerre Defuzzification: criteria and classification Fuzzy Sets Syst. 108 1999 159 178
32. T.L. Saaty The Analytic Hierarchy Process 1980 McGraw-Hill USA
33. F. Chiclana, E. Herrera-Viedma, F. Herrera, and S. Alonso Some induced ordered weighted averaging operators and their use for solving group decision-making problems based on fuzzy preference relations Eur. J. Oper. Res. 182 2007 383 399
34. Y.-M. Wang, and C. Parkan Multiple attribute decision making based on fuzzy preference information on alternatives: ranking and weighting Fuzzy Sets Syst. 153 2005 331 346
35. J. Fichtner On deriving priority vectors from matrices of pairwise comparisons Socioecon. Plan. Sci. 20 1986 341 345
36. J. Wang, J. Lan, P. Ren, and Y. Luo Some programming models to derive priority weights from additive interval fuzzy preference relation Knowl. Based Syst. 27 2012 69 77
37. F. Liu, W.-G. Zhang, and J.-H. Fu A new method of obtaining the priority weights from an interval fuzzy preference relation Inf. Sci. 185 2012 32 42
38. S. Genç, F.E. Boran, D. Akay, and Z.S. Xu Interval multiplicative transitivity for consistency, missing values and priority weights of interval fuzzy preference relations Inf. Sci. 180 2010 4877 4891
39. Y. Xu, R. Patnayakuni, and H. WANG Logarithmic least squares method to priority for group decision making with incomplete fuzzy preference relations Appl. Math. Model. 37 2013 2139 2152
40. T.L. Saaty, and L.G. Vargas Uncertainty and rank order in the analytic hierarchy process Eur. J. Oper. Res. 32 1987 107 117
41. S.A. Orlovsky Decision-making with a fuzzy preference relation Fuzzy Sets Syst. 1 1978 155 167
42. A. Mohtashami A novel meta-heuristic based method for deriving priorities from fuzzy pairwise comparison judgments Appl. Soft Comput. 23 2014 530 545
43. L. Mikhailov Deriving priorities from fuzzy pairwise comparison judgements Fuzzy Sets Syst. 134 2003 365 385
44. Z. Xu Algorithm for priority of fuzzy complementary judgment matrix J. Syst. Eng. 16 2001 311 314
45. J. Ma, Z.-P. Fan, Y.-P. Jiang, J.-Y. Mao, and L. Ma A method for repairing the inconsistency of fuzzy preference relations Fuzzy Sets Syst. 157 2006 20 33
46. Y.-M. Wang, Z.-P. Fan, and Z. Hua A chi-square method for obtaining a priority vector from multiplicative and fuzzy preference relations Eur. J. Oper. Res. 182 2007 356 366
47. Z. Xu, and J. Chen Some models for deriving the priority weights from interval fuzzy preference relations Eur. J. Oper. Res. 184 2008 266 280
48. Z.-J. Wang, and K.W. Li Goal programming approaches to deriving interval weights based on interval fuzzy preference relations Inf. Sci. 193 2012 180 198
49. Z. Güngör, G. Serhadlioʇlu, and S.E. Kesen A fuzzy AHP approach to personnel selection problem Appl. Soft Comput. 9 2009 641 646
50. F. Torfi, R.Z. Farahani, and S. Rezapour Fuzzy AHP to determine the relative weights of evaluation criteria and Fuzzy TOPSIS to rank the alternatives Appl. Soft Comput. 10 2010 520 528
51. Y.M. Wang, J.B. Yang, and D.L. Xu A two-stage logarithmic goal programming method for generating weights from interval comparison matrices Fuzzy Sets Syst. 152 2005 475 498
52. H.-M. Lee Generalization of the group decision making using fuzzy sets theory for evaluating the rate of aggregative risk in software development Inf. Sci. 113 1999 301 311
53. W. Dongrui, and J.M. Mendel Computing with words for hierarchical decision making applied to evaluating a weapon system IEEE Trans. Fuzzy Syst. 18 2010 441 460
54. L.A. Zadeh Fuzzy logic and approximate reasoning Synthese 30 1975 407 428
55. M. Delgado, J.L. Verdegay, and M.A. Vila On aggregation operations of linguistic labels Int. J. Intell. Syst. 8 1993 351 370
56. F. Herrera, and E. Herrera-Viedma Linguistic decision analysis: steps for solving decision problems under linguistic information Fuzzy Sets Syst. 115 2000 67 82
57. F. Herrera, and L. Martínez A 2-tuple fuzzy linguistic representation model for computing with words IEEE Trans. Fuzzy Syst. 8 2000 746 752
58. F. Herrera, E. Herrera-Viedma, and J.L. Verdegay Choice processes for non-homogeneous group decision making in linguistic setting Fuzzy Sets Syst. 94 1998 287 308
59. E. Herrera-Viedma, S. Alonso, F. Chiclana, and F. Herrera A consensus model for group decision making with incomplete fuzzy preference relations IEEE Trans. Fuzzy Syst. 15 2007 863 877
60. F. Mata, L. Martínez, and E. Herrera-Viedma A consensus support system for group decision making problems with heterogeneous information Intelligent Decision Making: An AI-Based Approach 2008 Springer
61. I. Palomares, L. Martinez, and F. Herrera A consensus model to detect and manage non-cooperative behaviors in large scale group decision making IEEE Trans. Fuzzy Syst. 22 2013 516 530
62. A. Bargiela, and W. Pedrycz Granular Computing: An Introduction 2003 Kluwer Academic Publishers Dordrecht
63. Y. Dong, and H. Zhang Multiperson decision making with different preference representation structures: a direct consensus framework and its properties Knowl. Based Syst. 58 2014 45 57
64. Z. Wu, and J. Xu A consistency and consensus based decision support model for group decision making with multiplicative preference relations Decis. Support Syst. 52 2012 757 767