A fuzzy dual decomposition method for large-scale multiobjective nonlinear programming problems
Fuzzy Sets and Systems - Special issue on operations research
Hierarchical optimization: a satisfactory solution
Fuzzy Sets and Systems
Fuzzy approach for multi-level programming problems
Computers and Operations Research
Fuzzy multiple attribute decision making: a review and new preference elicitation techniques
Fuzzy Sets and Systems - Special issue on fuzzy multiple criteria decision making
A fuzzy satisficing method for multiobjective linear optimal control problems
Fuzzy Sets and Systems - Special issue on fuzzy multiple criteria decision making
Fuzzy Boolean programming problems with fuzzy costs: a general study
Fuzzy Sets and Systems - Special issue on fuzzy optimization
Fuzzy Sets and Systems - Special issue on fuzzy optimization
Fuzzy set theory—and its applications (3rd ed.)
Fuzzy set theory—and its applications (3rd ed.)
On stability analysis of multicriteria LP problems with fuzzy parameters
Fuzzy Sets and Systems
Fuzzy programming approach to multi-objective stochastic linear programming problems
Fuzzy Sets and Systems
The three semantics of fuzzy sets
Fuzzy Sets and Systems - Special issue: fuzzy sets: where do we stand? Where do we go?
Fuzzy sets and operations research: perspectives
Fuzzy Sets and Systems - Special issue: fuzzy sets: where do we stand? Where do we go?
Fuzzy Mathematical Programming: Methods and Applications
Fuzzy Mathematical Programming: Methods and Applications
Decentralized multi-objective bilevel decision making with fuzzy demands
Knowledge-Based Systems
Expert Systems with Applications: An International Journal
International Journal of Knowledge-based and Intelligent Engineering Systems
Expert Systems with Applications: An International Journal
Information Sciences: an International Journal
Interactive random fuzzy two-level programming through possibility-based probability model
Information Sciences: an International Journal
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Multi-level programming is characterized as mathematical programming to solve decentralized planning problems. We have considered a multi-level linear programming problem and applied fuzzy mathematical programming (FMP) approach to obtain the solution of the system. We have suggested FMP method for the minimization of the objectives using linear membership functions. FMP is a supervised search procedure (supervised by the higher level decision maker (DM)). The higher level DM provides the preferred values of decision variables under his control (to enable the lower level DM to search for his optimum in a wider feasible space) and the bounds of his objective function (to direct the lower level DM to search for his solutions in the right direction).