Weighted coefficients in two-phase approach for solving the multiple objective programming problems

DOI10.1016/0165-0114(95)00360-6zbMath0907.90231OpenAlexW2037122288MaRDI QIDQ1267515

K. Appert

Publication date: 7 October 1998

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

Full work available at URL: https://doi.org/10.1016/0165-0114(95)00360-6

zbMATH Keywords

multiple objective programmingtwo-phase approachcompromise index

Mathematics Subject Classification ID

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

Related Items (7)

Interactive compensatory fuzzy programming for decentralized multi-level linear programming (DMLLP) problems ⋮ Two-phase approach for solving the fuzzy linear programming problems ⋮ Multi-item two storage inventory models for breakable items with fuzzy cost and resources based on different defuzzification techniques ⋮ A compensatory approach to multiobjective linear transportation problem with fuzzy cost coefficients ⋮ From ranking fuzzy numbers to solving fuzzy linear programming: a comprehensive review ⋮ Intuitionistic fuzzy T-sets based optimization technique for production-distribution planning in supply chain management ⋮ Pareto-optimal solutions in fuzzy multi-objective linear programming

Cites Work

• Latent connectives in human decision making
• Fuzzy programming and linear programming with several objective functions
• Fuzzy multiple objective programming and compromise programming with Pareto optimum

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