Optimal way of selecting cities and conveyances for supplying coal in uncertain environment

DOI10.1007/s12046-013-0207-4zbMath1322.90010OpenAlexW2066279884MaRDI QIDQ746569

Amarpreet 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/039/01/0165-0187

zbMATH Keywords

ranking function\(LR\) flat fuzzy numberfuzzy solid transportation problem

Mathematics Subject Classification ID

Large-scale problems in mathematical programming (90C06) Transportation, logistics and supply chain management (90B06) Fuzzy and other nonstochastic uncertainty mathematical programming (90C70)

Related Items (4)

Uncertain multi-objective multi-product solid transportation problems ⋮ Fuzzy linear programming approach for solving transportation problems with interval-valued trapezoidal fuzzy numbers ⋮ On fuzzy multiobjective multi-item solid transportation problem ⋮ Application of intuitionistic fuzzy optimization technique in transportation models

Cites Work

• Transportation policies for single and multi-objective transportation problem using fuzzy logic
• An entropy based solid transportation problem for general fuzzy costs and time with fuzzy equality
• Fuzzy sets and systems. Theory and applications
• A procedure for ordering fuzzy subsets of the unit interval
• Solving fuzzy transportation problems based on extension principle.
• Solving fuzzy solid transportation problems by an evolutionary algorithm based parametric approach
• Mehar's method to find exact fuzzy optimal solution of unbalanced fully fuzzy multi-objective transportation problems
• Application of classical transportation methods to find the fuzzy optimal solution of fuzzy transportation problems
• Fuzzy total transportation cost measures for fuzzy solid transportation problem
• Computational methods for solving fully fuzzy linear systems
• New Methods in Mathematical Programming—The Solid Transportation Problem
• Fuzzy sets
• Decision-Making in a Fuzzy Environment

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