Chapter

Advances in Neural Networks – ISNN 2009

Volume 5551 of the series Lecture Notes in Computer Science pp 1090-1097

Fuzzy Group Decision Making Method and Its Application

  • Cheng WangAffiliated withCollege of Mathematics and Information Science, Huanggang Normal UniversityInstitute of Systems Engineering, Huazhong University of Science and Technology
  • , Zhongcheng ZhangAffiliated withCollege of Mathematics and Information Science, Huanggang Normal University
  • , Congjun RaoAffiliated withCollege of Mathematics and Information Science, Huanggang Normal UniversityInstitute of Systems Engineering, Huazhong University of Science and Technology

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Abstract

This paper studies the problems of fuzzy multi-attribute group decision making in which the attribute values are given in the form of linguistic fuzzy numbers, and presents a new fuzzy group decision making method. Firstly, some definitions and conclusions about trapezoidal fuzzy numbers are given. Secondly, an operator named TOWA is presented to aggregate the trapezoidal fuzzy numbers. Thirdly, a new method is presented for the problems of fuzzy multi-attribute group decision making via the TOWA operator and grey relative degree. Finally, this new method is applied in the problem of official evaluation and selection. Therefore, a feasible and effective way is obtained to solve the problems of fuzzy multi-attribute group decision making under the uncertain environments.

Keywords

Multi-attribute group decision making Trapezoid fuzzy numbers TOWA (Trapezoidal Ordered Weighted Averaging) operator Grey relative degree