Linear programming problems and ranking of fuzzy numbers
Fuzzy Sets and Systems
A new approach to some possibilistic linear programming problems
Fuzzy Sets and Systems
Ranking fuzzy numbers with integral value
Fuzzy Sets and Systems
Annals of Operations Research - Special issue on Tabu search
Using ranking functions in multiobjective fuzzy linear programming
Fuzzy Sets and Systems - Fuzzy mathematical programming
Ranking fuzzy numbers based on decomposition principle and signed distance
Fuzzy Sets and Systems - Special issue on fuzzy numbers and uncertainty
Reasonable properties for the ordering of fuzzy quantities (I)
Fuzzy Sets and Systems
Application of fuzzy multi-objective linear programming to aggregate production planning
Computers and Industrial Engineering
A review and classification of fuzzy mathematical programs
Journal of Intelligent & Fuzzy Systems: Applications in Engineering and Technology
A genetics-based approach for aggregated production planning in a fuzzy environment
IEEE Transactions on Systems, Man, and Cybernetics, Part A: Systems and Humans
Multiproduct aggregate production planning with fuzzy demands and fuzzy capacities
IEEE Transactions on Systems, Man, and Cybernetics, Part A: Systems and Humans
Expert Systems with Applications: An International Journal
Fast assessment of production makespan using aggregate technical data
Computers in Industry
A modified particle swarm optimization for aggregate production planning
Expert Systems with Applications: An International Journal
Multi-colony ant algorithm for parallel assembly line balancing with fuzzy parameters
Journal of Intelligent & Fuzzy Systems: Applications in Engineering and Technology - FUZZYSS'2011: 2nd International Fuzzy Systems Symposium
Journal of Intelligent & Fuzzy Systems: Applications in Engineering and Technology
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In this paper, a direct solution method that is based on ranking methods of fuzzy numbers and tabu search is proposed to solve fuzzy multi-objective aggregate production planning problem. The parameters of the problem are defined as triangular fuzzy numbers. During problem solution four different fuzzy ranking methods are employed/tested. One of the primary objectives of this study is to show that how a multi-objective aggregate production planning problem which is stated as a fuzzy mathematical programming model can also be solved directly (without needing a transformation process) by employing fuzzy ranking methods and a metaheuristic algorithm. The results show that this can be easily achieved.