Interactive multiobjective fuzzy random programming through the level set-based probability model

DOI10.1016/j.ins.2011.01.003zbMath1222.90053OpenAlexW1986183688MaRDI QIDQ545308

Masatoshi Sakawa, Hideki Katagiri

Publication date: 22 June 2011

Published in: Information Sciences (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.ins.2011.01.003

zbMATH Keywords

Pareto optimalityfuzzy random variableprobability maximizationinteractive algorithm

Mathematics Subject Classification ID

Multi-objective and goal programming (90C29) Linear programming (90C05) Fuzzy and other nonstochastic uncertainty mathematical programming (90C70)

Related Items (8)

Multiobjective Programming Problems Involving Fuzzy Coefficients, Random Variable Coefficients and Fuzzy Random Variable Coefficients ⋮ Interactive multiobjective fuzzy random linear programming through fractile criteria ⋮ Interactive random fuzzy two-level programming through possibility-based probability model ⋮ Interactive fuzzy random two-level linear programming based on level sets and fractile criterion optimization ⋮ Generalized fuzzy linear programming for decision making under uncertainty: feasibility of fuzzy solutions and solving approach ⋮ Fuzzy decision making for fuzzy random multiobjective linear programming problems with variance covariance matrices ⋮ An interactive method for multiple criteria group decision analysis based on interval type-2 fuzzy sets and its application to medical decision making ⋮ Possibility/necessity-based probabilistic expectation models for linear programming problems with discrete fuzzy random variables

Uses Software

• FULPAL

Cites Work

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