RETRACTED: Evidence Theory in Picture Fuzzy Set Environment (Retracted Article)

被引:10
|
作者
Garg, Harish [1 ]
Sujatha, R. [2 ]
Nagarajan, D. [3 ]
Kavikumar, J. [4 ]
Gwak, Jeonghwan [5 ,6 ,7 ,8 ]
机构
[1] Deemed Univ, Apar Inst Engn & Technol, Sch Math, Patiala, Punjab, India
[2] SSN Coll Engn, Dept Math, Chennai, Tamil Nadu, India
[3] Hindustan Inst Technol & Sci, Dept Math, Chennai, Tamil Nadu, India
[4] Univ Tun Hussein Onn Malaysia, Fac Appl Sci & Technol, Fuzzy Math & Applicat, Johor Baharu, Malaysia
[5] Korea Natl Univ Transportat, Dept Software, Chungju 27469, South Korea
[6] Korea Natl Univ Transportat, Dept Biomed Engn, Chungju 27469, South Korea
[7] Korea Natl Univ Transportat, Dept AI Robot Engn, Chungju 27469, South Korea
[8] Korea Natl Univ Transportat, Dept IT & Energy Convergence BK21 FOUR, Chungju 27469, South Korea
基金
新加坡国家研究基金会;
关键词
DEMPSTER-SHAFER THEORY; PROBABILITIES; LAYER; UNCERTAINTY; INFORMATION; INFERENCE;
D O I
10.1155/2021/9996281
中图分类号
O1 [数学];
学科分类号
0701 ; 070101 ;
摘要
Picture fuzzy set is the most widely used tool to handle the uncertainty with the account of three membership degrees, namely, positive, negative, and neutral such that their sum is bound up to 1. It is the generalization of the existing intuitionistic fuzzy and fuzzy sets. This paper studies the interval probability problems of the picture fuzzy sets and their belief structure. The belief function is a vital tool to represent the uncertain information in a more effective manner. On the other hand, the Dempster-Shafer theory (DST) is used to combine the independent sources of evidence with the low conflict. Keeping the advantages of these, in the present paper, we present the concept of the evidence theory for the picture fuzzy set environment using DST. Under this, we define the concept of interval probability distribution and discuss its properties. Finally, an illustrative example related to the decision-making process is employed to illustrate the application of the presented work.
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页数:8
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