133136 - A generalized golden rule representative value for multiple-criteria decision analysis.pdf (2.7 MB)
A generalized golden rule representative value for multiple-criteria decision analysis
journal contribution
posted on 2023-05-20, 04:15 authored by Liu, Z, Xiao, F, Lin, C-T, Byeong KangByeong Kang, Cao, ZMulticriteria decision analysis evaluates multiple conflicting criteria in decision making, but conflicting criteria are typical in evaluating options. As the existing ordering operations involved in multicriteria decision making cannot easily be implemented with intervals, we assume that scalar representative values with intervals can effectively avoid this issue. To deal with interval-valued criteria, we propose a generalized golden rule representative value approach, which involves the sigmoid function of backpropagation neural networks to tune parameters. Our approach considers the uncertainties and side effects of the interval variables to improve individual scalar representative values. Based on numerical examples, we address the effectiveness of the proposed approach, and we provide a specific application concerning multicriteria decision making with interval criteria satisfaction.
History
Publication title
IEEE Transactions on Systems, Man, and Cybernetics: SystemsPagination
1-12ISSN
2168-2216Department/School
School of Information and Communication TechnologyPublisher
Institute of Electrical and Electronics EngineersPlace of publication
United StatesRights statement
Copyright 2019 IEEE.Repository Status
- Open