Multiple attribute decision making with interval-valued intuitionistic fuzzy preference information based on close-degree

作者：Wei Yanyan; Chen Zichun; Pei Zheng

来源：ICIC Express Letters, 2014, 8(5): 1335-1342.

• Close-degree
• Interval-valued intuitionistic fuzzy informations
• Interval-valued intuitionistic fuzzy number
• Interval-valued intuitionistic fuzzy sets
• Multiple attribute decision making
• Multiple attribute decision making (MADM) problems
• Preference information
• Preference values

The aim of this paper is to investigate the multiple decision making with preference information based on close-degree, in which the information about attribute is completely unknown or incompletely known. Some operational laws of interval-valued intuitionistic fuzzy numbers, score function and accuracy function of interval-valued intuitionistic fuzzy numbers are introduced. We define the concept of the weighted closedegree, and then, based on the weighted close-degree, we establish some optimization models to derive the attribute weights. Furthermore, based on the developed models, we develop some procedures for the rankings of alternatives, and extend the developed models and procedures to handle the multiple attribute decision making (MADM) problems with interval-valued intuitionistic fuzzy information. Finally, some illustrative examples are given to verify the developed approach and to demonstrate its practicality and effectiveness.

• 出版日期2014