4.7 Article

Logarithmic least squares method to priority for group decision making with incomplete fuzzy preference relations

期刊

APPLIED MATHEMATICAL MODELLING
卷 37, 期 4, 页码 2139-2152

出版社

ELSEVIER SCIENCE INC
DOI: 10.1016/j.apm.2012.05.010

关键词

Group decision making; Incomplete fuzzy preference relation; Logarithmic least squares method; Multiplicative consistency

资金

  1. National Natural Science Foundation of China (NSFC) [71101043, 50979024, 90924027]
  2. College Philosophy and Social Science Research Project of Jiangsu Province [2011SJD630007]
  3. International Academic Cooperation Team Development Foundation of Business School
  4. Hohai University [UAH-2011-181]

向作者/读者索取更多资源

The aim of this paper is to present a logarithmic least squares method (LLSM) to priority for group decision making with incomplete fuzzy preference relations. We give a reasonable definition of multiplicative consistent for incomplete fuzzy preference relation. We develop the acceptable fuzzy consistency ratio (FCR for short), which is simple and similar to Saaty's consistency ratio CR for multiplicative fuzzy preference relations. We also extend the LLSM method to the case of individual preference relation with complete information. Finally, some examples are illustrated to show that our method is simple, efficient, and can be performed on computer easily. Crown Copyright (C) 2012 Published by Elsevier Inc. All rights reserved.

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