The optimal priority models of the intuitionistic fuzzy preference relation and their application in selecting industries with higher meteorological sensitivity

  • Authors:

  • Zai-Wu Gong;Lian-Shui Li;Jeffrey Forrest;Yue Zhao

  • Affiliations:

  • College of Economics and Management, Nanjing University of Information Science and Technology, Nanjing 210044, China;College of Economics and Management, Nanjing University of Information Science and Technology, Nanjing 210044, China;International Institute for General Systems Studies, Inc., 23 Kings Lane, Grove City, PA 16127, USA;College of Economics and Management, Nanjing University of Information Science and Technology, Nanjing 210044, China

  • Venue:
  • Expert Systems with Applications: An International Journal
  • Year:
  • 2011

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Abstract

This paper proposes a least squares method and a goal programming method to get the priority of the intuitionistic fuzzy preference relation (IFPR). The relation between the IFPR and the interval fuzzy number preference relation (IFNPR) is established by splitting the IFPR into the membership degree interval judgment matrix and the non-membership degree interval judgment matrix. Considering the fact that the priority method must be based on the consistent condition, we propose the additive consistent conditions of the IFPR according to that of the IFNPR. However, in real-life decision situations, such consistent conditions are hard to be satisfied. For deriving the priority vector of the IFPR, the least squares model and the goal programming model are put forward. It is also shown that the same methods apply to the circumstance of group decision making. The numerical examples are provided to show that the methods proposed are valid, and the case study of selecting industries with higher meteorological sensitivity by using the intuitionistic fuzzy hierarchic structure model is given to show that the methods proposed are practical.