Title
Generating Z-Number Based On Owa Weights Using Maximum Entropy
Abstract
In the application of Z-number, how to generate Z-number is a significant and open issue. In this paper, we proposed a method of generating Z-number based on the OWA weights using maximum entropy considering the attitude (preference) of the decision maker. Some numerical examples are used to illustrate the effectiveness of the proposed method. Results show that the attitude (preference) of the decision maker can give an optimal possibility distribution of the reliability for Z-number using maximum entropy.
Year
DOI
Venue
2018
10.1002/int.21995
INTERNATIONAL JOURNAL OF INTELLIGENT SYSTEMS
Keywords
Field
DocType
attitude, decision making, maximum entropy, ordered weight averaging (OWA), Z-number
Discrete mathematics,Data mining,Principle of maximum entropy,Z number,Mathematics
Journal
Volume
Issue
ISSN
33
8
0884-8173
Citations 
PageRank 
References 
19
0.54
24
Authors
4
Name
Order
Citations
PageRank
Bingyi Kang11389.24
Yong Deng2124883.34
Kasun Hewage3759.01
Rehan Sadiq436430.26