An extended TOPSIS for determining weights of decision makers with interval numbers

In this paper, we develop a method for determining weights of decision makers under group decision environment, in which the each individual decision information is expressed by a matrix in interval numbers. We define the positive and negative ideal solutions of group decision, which are expressed by a matrix, respectively. The positive ideal solution is expressed by the average matrix of group decision and the negative ideal solution is maximum separation from positive ideal solution. The separation measures of each individual decision from the ideal solution and the relative closeness to the ideal solution are defined based on Euclidean distance. According to the relative closeness, we determine the weights of decision makers in accordance with the values of the relative closeness. Finally, we give an example for integrated assessment of air quality in Guangzhou during 16th Asian Olympic Games to illustrate in detail the calculation process of the developed approach.

[1]  Zeshui Xu,et al.  Dependent uncertain ordered weighted aggregation operators , 2008, Inf. Fusion.

[2]  Jian-Bo Yang,et al.  A preference aggregation method through the estimation of utility intervals , 2005, Comput. Oper. Res..

[3]  Jian Ma,et al.  An optimization approach to multiperson decision making based on different formats of preference information , 2006, IEEE Transactions on Systems, Man, and Cybernetics - Part A: Systems and Humans.

[4]  Gwo-Hshiung Tzeng,et al.  Compromise solution by MCDM methods: A comparative analysis of VIKOR and TOPSIS , 2004, Eur. J. Oper. Res..

[5]  Zeshui Xu,et al.  Multiple-Attribute Group Decision Making With Different Formats of Preference Information on Attributes , 2007, IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics).

[6]  J. Martel,et al.  Quantification De L’importance Relative Des Membres D’un Groupe En Vue De Déterminer Un Préordre Collectif , 2002 .

[7]  R. C. Van Den Honert,et al.  Decisional Power in Group Decision Making: A Note on the Allocation of Group Members' Weights in the Multiplicative AHP and SMART , 2001 .

[8]  Johan Schubert,et al.  On varrho in a decision-theoretic apparatus of Dempster-Shafer theory , 1995, Int. J. Approx. Reason..

[9]  S. Bodily Note—A Delegation Process for Combining Individual Utility Functions , 1979 .

[10]  J. Harsanyi Cardinal Welfare, Individualistic Ethics, and Interpersonal Comparisons of Utility , 1955 .

[11]  Enrique Herrera-Viedma,et al.  Managing the consensus in group decision making in an unbalanced fuzzy linguistic context with incomplete information , 2010, Knowl. Based Syst..

[12]  Chen-Tung Chen,et al.  Extensions of the TOPSIS for group decision-making under fuzzy environment , 2000, Fuzzy Sets Syst..

[13]  Fei Ye,et al.  Group multi-attribute decision model to partner selection in the formation of virtual enterprise under incomplete information , 2009, Expert Syst. Appl..

[14]  M. Sayadi,et al.  Extension of VIKOR method for decision making problem with interval numbers , 2009 .

[15]  Thomas M. Strat,et al.  Decision analysis using belief functions , 1990, Int. J. Approx. Reason..

[16]  Enrique Herrera-Viedma,et al.  Dealing with incomplete information in a fuzzy linguistic recommender system to disseminate information in university digital libraries , 2010, Knowl. Based Syst..

[17]  C. Hwang,et al.  Group Decision Making Under Multiple Criteria: Methods and Applications , 1986 .

[18]  Chung-Hsing Yeh,et al.  Inter-company comparison using modified TOPSIS with objective weights , 2000, Comput. Oper. Res..

[19]  Ching-Lai Hwang,et al.  Fuzzy Multiple Attribute Decision Making - Methods and Applications , 1992, Lecture Notes in Economics and Mathematical Systems.

[20]  D. W. Bunn,et al.  Group Choice , 1980 .

[21]  Milan Zeleny,et al.  Multiple Criteria Decision Making (MCDM) , 2004 .

[22]  Francisco Herrera,et al.  Integrating multiplicative preference relations in a multipurpose decision-making model based on fuzzy preference relations , 2001, Fuzzy Sets Syst..

[23]  R. Ramanathan,et al.  Group preference aggregation methods employed in AHP: An evaluation and an intrinsic process for deriving members' weightages , 1994 .

[24]  Dimitris Askounis,et al.  A new TOPSIS-based multi-criteria approach to personnel selection , 2010, Expert Syst. Appl..

[25]  Francisco Herrera,et al.  Fuzzy Sets and Their Extensions: Representation, Aggregation and Models , 2008 .

[26]  W. Pedrycz,et al.  A fuzzy extension of Saaty's priority theory , 1983 .

[27]  Jian-Bo Yang,et al.  Fuzzy linear programming technique for multiattribute group decision making in fuzzy environments , 2004, Inf. Sci..

[28]  T. Saaty,et al.  The Analytic Hierarchy Process , 1985 .

[29]  Chiang Kao,et al.  Weight determination for consistently ranking alternatives in multiple criteria decision analysis , 2010 .

[30]  H. Theil,et al.  On the Symmetry Approach to the Committee Decision Problem , 1963 .

[31]  Horace W. Brock,et al.  The Problem of "Utility Weights" in Group Preference Aggregation , 1980, Oper. Res..

[32]  Ralph L. Keeney,et al.  Group Decision Making Using Cardinal Social Welfare Functions , 1975 .

[33]  Zeshui Xu,et al.  On Method for Uncertain Multiple Attribute Decision Making Problems with Uncertain Multiplicative Preference Information on Alternatives , 2005, Fuzzy Optim. Decis. Mak..

[34]  Guodong Ye,et al.  An Approach for Multiple Attribute Group Decision Making Based on Intuitionistic Fuzzy Information , 2009, Int. J. Uncertain. Fuzziness Knowl. Based Syst..

[35]  Francisco Herrera,et al.  Fuzzy Sets and Their Extensions: Representation, Aggregation and Models - Intelligent Systems from Decision Making to Data Mining, Web Intelligence and Computer Vision , 2007, Fuzzy Sets and Their Extensions: Representation, Aggregation and Models.

[36]  R. Keeney A Group Preference Axiomatization with Cardinal Utility , 1976 .

[37]  Yong-Huang Lin,et al.  Multi-attribute group decision making model under the condition of uncertain information , 2008 .

[38]  Jean Marc Martel,et al.  Deux Propositions d'aide multicritère à la décision de groupe , 2000 .

[39]  Mohammad Izadikhah,et al.  An algorithmic method to extend TOPSIS for decision-making problems with interval data , 2006, Appl. Math. Comput..

[40]  E. Stanley Lee,et al.  An extension of TOPSIS for group decision making , 2007, Math. Comput. Model..

[41]  Soung Hie Kim,et al.  Interactive group decision making procedure under incomplete information , 1999, Eur. J. Oper. Res..

[42]  Francisco Herrera,et al.  Multiperson decision-making based on multiplicative preference relations , 2001, Eur. J. Oper. Res..

[43]  J. French,et al.  A formal theory of social power. , 1956, Psychological review.

[44]  Gwo-Hshiung Tzeng,et al.  Extended VIKOR method in comparison with outranking methods , 2007, Eur. J. Oper. Res..

[45]  Jiye Liang,et al.  Approximation reduction in inconsistent incomplete decision tables , 2010, Knowl. Based Syst..

[46]  Pavel V. Sevastjanov,et al.  An interpretation of intuitionistic fuzzy sets in terms of evidence theory: Decision making aspect , 2010, Knowl. Based Syst..

[47]  Zeshui Xu,et al.  Group decision making based on multiple types of linguistic preference relations , 2008, Inf. Sci..

[48]  J. Kacprzyk,et al.  The Ordered Weighted Averaging Operators: Theory and Applications , 1997 .