Evidential reasoning approach with multiple kinds of attributes and entropy-based weight assignment-Reference-Cited by-同舟云学术

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Evidential reasoning approach with multiple kinds of attributes and entropy-based weight assignment

Published:2019-01 Issue: Volume:163 Page:358-375
ISSN:0950-7051
Container-title:Knowledge-Based Systems
language:en
Short-container-title:Knowledge-Based Systems

Author:

Zhou Mi,Liu Xin-Bao,Yang Jian-Bo,Chen Yu-Wang,Wu Jian

Funder

National Natural Science Foundation of China

NSFC-Zhejiang Joint Fund for the Integration of Industrialization and Informatization

Innovative Research Groups of the National Natural Science Foundation of China

Natural Science Foundation of Anhui province, China

Publisher

Elsevier BV

Subject

Artificial Intelligence,Information Systems and Management,Management Information Systems,Software

Reference75 articles.

1. An evidential reasoning approach for multiple attribute decision making with uncertainty;Yang;IEEE Trans. Syst. Man Cybern.,1994

2. Rule and utility based evidential reasoning approach for multiattribute decision analysis under uncertainties;Yang;European J. Oper. Res.,2001

3. Assessment of strategic R & D projects for car manufacturers based on the evidential reasoning approach;Liu;Int. J. Comput. Intell. Syst.,2008

4. Evidential reasoning based nonlinear programming model for MCDA under fuzzy weights and utilities;Zhou;Int. J. Intell. Syst.,2010

5. On the evidential reasoning algorithm for multiple attribute decision analysis under uncertainty;Yang;IEEE Trans. Syst. Man Cybern. -Part A: Syst. Hum.,2002

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