期刊
SCIENTIA IRANICA
卷 18, 期 2, 页码 268-274出版社
SHARIF UNIV TECHNOLOGY
DOI: 10.1016/j.scient.2011.03.022
关键词
Dynamic multi-attribute decision making method; Triangular intuitionistic fuzzy numbers; Entropy; Intuitionistic fuzzy sets
资金
- National Natural Science Foundation of China [50935002, 60875060]
- State Key Laboratory of Robotics and Systems (HIT) [SKLRS-2010-ZD-02]
Triangular Intuitionistic Fuzzy Numbers (TIFNs) express more abundant and flexible information than Triangular Fuzzy Numbers (TFNs). The main purpose of this paper is to propose a Dynamic Multi-Attribute Decision Making (DMADM) model on the basis of TIFNs, to solve the DMADM problem, where all the decision information takes the form of TIFNs. A new distance measure between two TIFNs is developed to aid in determining attribute weights, using the entropy method. An aggregation operator, the weighted arithmetic averaging operator on TIFNs (TIFN-WAA), is presented to aggregate the decision information with TIFNs. Finally, the effectiveness and applicability of the proposed DMADM model, as well as analysis of comparison with another model, are illustrated with an investment example. (C) 2011 Sharif University of Technology. Production and hosting by Elsevier B.V. All rights reserved.
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