4.6 Article

Compatibility of interval fuzzy preference relations with the COWA operator and its application to group decision making

期刊

SOFT COMPUTING
卷 18, 期 11, 页码 2283-2295

出版社

SPRINGER
DOI: 10.1007/s00500-013-1201-9

关键词

Group decision making; Interval fuzzy preference relation; Compatibility; COWA operator

资金

  1. National Natural Science Foundation of China [71071002, 71371011, 71301001]
  2. Higher School Specialized Research Fund for the Doctoral Program [20123401110001]
  3. Scientific Research Foundation of the Returned Overseas Chinese Scholars
  4. Anhui Provincial Natural Science Foundation [1308085QG127]
  5. Provincial Natural Science Research Project of Anhui Colleges [KJ2012A026]
  6. Humanity and Social Science Youth foundation of Ministry of Education [13YJC630092]
  7. Humanities and Social Science Research Project of Department of Education of Anhui Province [SK2013B041]

向作者/读者索取更多资源

We develop a new compatibility for the interval fuzzy preference relations based on the continuous ordered weighted averaging (COWA) operator and use it to determine the weights of experts in group decision making (GDM). We define some concepts of the compatibility degree and the compatibility index for the two interval fuzzy preference relations based on the COWA operator. We study some desirable properties of the compatibility index and investigate the relationship between the each expert's interval fuzzy preference relation and the synthetic interval fuzzy preference relation. The prominent characteristic of the compatibility index based on the COWA operator is that it can deal with the compatibility of all the arguments by using a controlled parameter considering the attitude of decision maker rather than the compatibility of the simply two points in intervals. To determine the experts' weights in the GDM with the interval fuzzy preference relations, we propose an optimal model based on the criterion of minimizing the compatibility index. In the end, we give a numerical example to develop the new approach to GDM with interval fuzzy preference relations.

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