A Hybrid Intelligent Algorithm for Fuzzy Programming Problem under Credibility Theory

Qi Fang He; Tie Zhu Wang; Jing Yao Zhu; Zu Tong Wang

doi:10.4028/www.scientific.net/AMM.530-531.363

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 530-531A Hybrid Intelligent Algorithm for Fuzzy...

A Hybrid Intelligent Algorithm for Fuzzy Programming Problem under Credibility Theory

Abstract:

Based on the credibility theory, this paper is devoted to the fuzzy programming problem. The expected-value model of fuzzy programming problem is provided under credibility theory. For solving the fuzzy programming problem efficiently, Latin Hypercube Sampling, fuzzy simulation, Support Vector Machine and Artificial Bee Colony algorithm are integrated to build a hybrid intelligent algorithm. The proposed method has excellent consistency and efficiency in solving fuzzy programming problem, and is particularly useful for expensive systems.

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Periodical:

Applied Mechanics and Materials (Volumes 530-531)

Pages:

363-366

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.530-531.363

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Online since:

February 2014

Authors:

Qi Fang He*, Tie Zhu Wang, Jing Yao Zhu, Zu Tong Wang

Keywords:

Artificial Bee Colony Algorithm, Credibility Theory, Fuzzy Programming, Fuzzy Simulation

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