Fuzzy Group Decision Making Method and Its Application

  • Cheng Wang
  • Zhongcheng Zhang
  • Congjun Rao
Conference paper

DOI: 10.1007/978-3-642-01507-6_122

Volume 5551 of the book series Lecture Notes in Computer Science (LNCS)
Cite this paper as:
Wang C., Zhang Z., Rao C. (2009) Fuzzy Group Decision Making Method and Its Application. In: Yu W., He H., Zhang N. (eds) Advances in Neural Networks – ISNN 2009. ISNN 2009. Lecture Notes in Computer Science, vol 5551. Springer, Berlin, Heidelberg

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 

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Copyright information

© Springer-Verlag Berlin Heidelberg 2009

Authors and Affiliations

  • Cheng Wang
    • 1
    • 2
  • Zhongcheng Zhang
    • 1
  • Congjun Rao
    • 1
    • 2
  1. 1.College of Mathematics and Information ScienceHuanggang Normal UniversityHuanggangChina
  2. 2.Institute of Systems EngineeringHuazhong University of Science and TechnologyWuhanChina