An interactive fuzzy satisficing method for multiobjective block angular linear programming problems with fuzzy parameters

DOI10.1016/S0165-0114(98)00452-7zbMath0938.90076MaRDI QIDQ1971867

Masatoshi Sakawa, Kosuke Kato

Publication date: 27 June 2000

Published in: Fuzzy Sets and Systems (Search for Journal in Brave)

zbMATH Keywords

decomposition methodsfuzzy programminginteractive methodslarge-scale multiobjective block-angular linear programming

Mathematics Subject Classification ID

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

Related Items (1)

Using the technique of scalarization to solve the multiobjective programming problems with fuzzy coefficients

Cites Work

• A fuzzy satisficing method for large-scale multiobjective linear programming problems with block angular structure
• Introduction to sensitivity and stability analysis in nonlinear programming
• A fuzzy satisficing method for large-scale linear programming problems with block angular structure
• Fuzzy sets and systems. Theory and applications
• DECOMP: an implementation of Dantzig-Wolfe decomposition for linear programming
• Fuzzy programming and linear programming with several objective functions
• Kuhn-Tucker multipliers as trade-offs in multiobjective decision-making analysis
• An interactive fuzzy satisficing method for large-scale multiobjective linear programming problems with block angular structure
• The Decomposition Algorithm for Linear Programs
• Computational experience with advanced implementation of decomposition algorithms for linear programming
• An advanced implementation of the Dantzig—Wolfe decomposition algorithm for linear programming
• Interactive Multiobjective Decisionmaking for Large-Scale Systems and Its Application to Environmental Systems
• Operations on fuzzy numbers
• Decision-Making in a Fuzzy Environment
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