Fuzzy programming approach to multiobjective solid transportation problem
Fuzzy Sets and Systems
Solving bicriteria solid transportation problem with fuzzy numbers by a genetic algorithm
ICC&IE '94 Proceedings of the 17th international conference on Computers and industrial engineering
Evolutionary algorithm solution to fuzzy problems: Fuzzy linear programming
Fuzzy Sets and Systems
Fuzzy Sets and Systems: Theory and Applications
Fuzzy Sets and Systems: Theory and Applications
Fully fuzzified linear programming, solution and duality
Journal of Intelligent & Fuzzy Systems: Applications in Engineering and Technology
A direct solution approach to fuzzy mathematical programs with fuzzy decision variables
Expert Systems with Applications: An International Journal
An entropy based solid transportation problem for general fuzzy costs and time with fuzzy equality
Mathematical and Computer Modelling: An International Journal
Cooperative particle swarm optimization for multiobjective transportation planning
Applied Intelligence
Hi-index | 0.00 |
In fuzzy single and multi-objective minimal cost flow (MCF) problems, it is assumed that there is only one conveyance which can be used for transporting the product. However, in real life problems, more than one conveyance is used for transporting the product. To the best of our knowledge untill now no method is proposed in the literature for solving such fuzzy single and multi-objective MCF problems in which more than one conveyance is used for transporting the product and all the parameters, as well as all the decision variables that are represented by fuzzy numbers. In this paper, these types of fuzzy multi-objective MCF problems are called fully fuzzy multi-objective solid minimal cost flow (SMCF) problems and a new method is proposed for solving these problems. The advantages of the proposed methods are also discussed.