期刊
EXPERT SYSTEMS WITH APPLICATIONS
卷 38, 期 4, 页码 4394-4402出版社
PERGAMON-ELSEVIER SCIENCE LTD
DOI: 10.1016/j.eswa.2010.09.109
关键词
Intuitionistic fuzzy sets; The least squares model; The goal programming model; Priority; Industries with higher meteorological sensitivity
类别
资金
- National Natural Science Foundation of China [70901043]
- special public sector research [GYHY200806017]
- Ministry of Education of the PRC [09YJC630130]
- Qing Lan Project [0911]
- Natural Science Foundation of Higher Education of Jiangsu Province of China [08KJD630002]
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. (C) 2010 Elsevier Ltd. All rights reserved.
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