NDLI: A new multi-objective optimization model based on fuzzy probability theory

Content Provider	IEEE Xplore Digital Library
Author	Zhangjun Liu Yaolong Lei
Copyright Year	2010
Description	Author affiliation: College of Civil & Hydroelectric Engineering, China Three Gorges University, Yichang, China (Zhangjun Liu; Yaolong Lei)
Abstract	Based on the fuzzy probability theory of the third kind of fuzzy events, a new multi-objective optimization model of fuzzy probability is developed. And the application procedure of the fuzzy probability model is illuminated in detail. In order to assess index weighted value scientifically, the analytic hierarchy process (AHP) is introduced into the fuzzy weighted values to avoid the uncertainties while determining the index weights. In this way, the fuzzy probability model not only holds the merit of classical fuzzy comprehensive evaluation method, but also overcomes its limitations in practice. The model can utilize the known fuzzy objective information sufficiently and can also satisfy the requirements of decision maker as much as possible. In fact, if the fuzzy weights are not taken into account in the fuzzy probability model, it will degenerate to the classical fuzzy comprehensive evaluation model. The fuzzy probability model is based on clear concept and rigorous theory, and can be applied extensively to obtain objective and dependable result for multiple attribute decision making problems.
Starting Page	54
Ending Page	56
File Size	210891
Page Count	3
File Format	PDF
ISBN	9781424459315
e-ISBN	9781424459346
DOI	10.1109/FSKD.2010.5569755
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2010-08-10
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	analytic hierarchy process fuzzy mathematics fuzzy weights Decision making optimization Chromium Mathematical model Indexes Optimization fuzzy probability Pragmatics
Content Type	Text
Resource Type	Article

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