A new method for solving single and multi-objective fuzzy minimum cost flow problems with different membership functions

DOI10.1007/s12046-014-0228-7zbMath1322.90124OpenAlexW2079078992MaRDI QIDQ746570

Manjot Kaur, Amit Kumar

Publication date: 16 October 2015

Published in: Sādhanā (Search for Journal in Brave)

Full work available at URL: https://www.ias.ac.in/describe/article/sadh/039/01/0189-0206

zbMATH Keywords

fuzzy linear programmingranking function\(L-R\) fuzzy numberssingle and multi-objective fuzzy MCF problems

Mathematics Subject Classification ID

Multi-objective and goal programming (90C29) Deterministic network models in operations research (90B10) Fuzzy and other nonstochastic uncertainty mathematical programming (90C70)

Related Items (1)

An interactive approach for solving the multiobjective minimum cost flow problem in the fuzzy environment

Cites Work

• Unnamed Item
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• Generalized minimal cost flow problem in fuzzy nature: an application in bus network planning problem
• Multiple objective minimum cost flow problems: a review
• The solution and duality of imprecise network problems
• A simple approach to fuzzy critical path analysis in project networks
• Application of fuzzy minimum cost flow problems to network design under uncertainty
• Fuzzy multi-level minimum cost flow problems
• Fuzzy sets and systems. Theory and applications
• A procedure for ordering fuzzy subsets of the unit interval
• Fuzzy programming technique to solve multi-objective transportation problems with some nonlinear membership functions
• Analysis of critical paths in a project network with fuzzy activity times
• Ranking function-based solutions of fully fuzzified minimal cost flow problem
• Fuzzy sets

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