A new hybrid intelligent algorithm for fuzzy multiobjective programming problem based on credibility theory

DOI10.1155/2014/909203zbMath1407.90384OpenAlexW2082777749WikidataQ59070635 ScholiaQ59070635MaRDI QIDQ1719365

Ming-Fa Zheng, Zu-Tong Wang, Jian-Sheng Guo, Ying Wang

Publication date: 8 February 2019

Published in: Mathematical Problems in Engineering (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1155/2014/909203

Mathematics Subject Classification ID

Multi-objective and goal programming (90C29) Approximation methods and heuristics in mathematical programming (90C59) Fuzzy and other nonstochastic uncertainty mathematical programming (90C70)

Uses Software

• LIBSVM
• ABC

Cites Work

• Toward fuzzy optimization without mathematical ambiguity
• A survey of credibility theory
• Multi-objective integer programming: a general approach for generating all non-dominated solutions
• Fuzzy optimization for supply chain planning under supply, demand and process uncertainties
• Fuzzy contactability and fuzzy variables
• Fuzzy programming and linear programming with several objective functions
• Topological optimization models with communication network for multiple reliability goals
• Uncertainty theory. An introduction to its axiomatic foundations.
• On fuzzy-set interpretation of possibility theory
• A comparative study of artificial bee colony algorithm
• A powerful and efficient algorithm for numerical function optimization: artificial bee colony (ABC) algorithm
• A two-phase approach for multi-objective programming problems with fuzzy coefficients
• A Comparison of Three Methods for Selecting Values of Input Variables in the Analysis of Output from a Computer Code
• Large Sample Properties of Simulations Using Latin Hypercube Sampling
• Fuzzy sets

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