MADM method based on cross-entropy and extended TOPSIS with interval-valued intuitionistic fuzzy sets

  • Authors:

  • Huimin Zhang;Liying Yu

  • Affiliations:

  • School of Management, Shanghai University, Shanghai 200444, China and School of Management, Henan University of Technology, Zhengzhou 450001, China;School of Management, Shanghai University, Shanghai 200444, China

  • Venue:
  • Knowledge-Based Systems
  • Year:
  • 2012

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Abstract

Many authors have investigated multiattribute decision making (MADM) problems under interval-valued intuitionistic fuzzy sets (IVIFSs) environment. This paper presents an optimization model to determine attribute weights for MADM problems with incomplete weight information of criteria under IVIFSs environment. In this method, a series of mathematical programming models based on cross-entropy are constructed and eventually transformed into a single mathematical programming model to determine the weights of attributes. In addition, an extended technique for order preference by similarity to ideal solution (TOPSIS) is suggested to ranking all the alternatives. Furthermore, an illustrative example is provided to compare the proposed approach with existing methods. Finally, the paper concludes with suggestions for future research.