Journal of Systems Engineering and Electronics

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Entropy measures of type-2 intuitionistic fuzzy sets and type-2 triangular intuitionistic trapezodial fuzzy sets

Zhensong Chen1,2, Shenghua Xiong1,2, Yanlai Li1,2,*, and Kwai-Sang Chin3   

  1. 1. School of Transportation and Logistics, Southwest Jiaotong University, Chengdu 610031, China; 2. Nation and Region Combined Engineering Lab of Intelligentizing Integrated Transportation, Southwest Jiaotong University, Chengdu 610031, China; 3. Department of System Engineering and Engineering Management, City University of Hong Kong, Hong Kong 999077, China
  • Online:2015-08-25 Published:2010-01-03

Abstract: In order to measure the uncertain information of a type-2 intuitionistic fuzzy set (T2IFS), an entropy measure of T2IFS is presented by using the constructive principles. The proposed entropy measure is also proved to satisfy all of the constructive principles. Further, a novel concept of the type-2 triangular intuitionistic trapezoidal fuzzy set (T2TITrFS) is developed, and a geometric interpretation of the T2TITrFS is given to comprehend it completely or correctly in a more intuitive way. To deal with a more general uncertain complex system, the constructive principles of an entropy measure of T2TITrFS are therefore proposed on the basis of the axiomatic definition of the type-2 intuitionistic fuzzy entropy measure. This paper elicits a formula of type-2 triangular intuitionistic trapezoidal fuzzy entropy and verifies that it does satisfy the constructive principles. Two examples are given to show the efficiency of the proposed entropy of T2TITrFS in describing the uncertainty of the type-2 intuitionistic fuzzy information and illustrate its application in type-2 triangular intuitionistic trapezoidal fuzzy decision making problems.