Fuzzy goal programming- an additive model
Fuzzy Sets and Systems
Fuzzy programming with nonlinear membership functions: piecewise linear approximation
Fuzzy Sets and Systems
Relating different approaches to solve linear programming problems with imprecise costs
Fuzzy Sets and Systems
Fuzzy set theory—and its applications (3rd ed.)
Fuzzy set theory—and its applications (3rd ed.)
Fuzzy Sets and Systems: Theory and Applications
Fuzzy Sets and Systems: Theory and Applications
Fuzzy Mathematical Programming: Methods and Applications
Fuzzy Mathematical Programming: Methods and Applications
Multicriteria Optimization
Fuzzy Mathematical Programming and Fuzzy Matrix Games (Studies in Fuzziness and Soft Computing)
Fuzzy Mathematical Programming and Fuzzy Matrix Games (Studies in Fuzziness and Soft Computing)
WSEAS TRANSACTIONS on SYSTEMS
Genetic search algorithms to fuzzy multiobjective games: a mathematica implementation
ACS'10 Proceedings of the 10th WSEAS international conference on Applied computer science
System based on fuzzy logic for maintain optimum environmental conditions in a fir tree greenhouse
ICS'10 Proceedings of the 14th WSEAS international conference on Systems: part of the 14th WSEAS CSCC multiconference - Volume II
WSEAS Transactions on Systems and Control
Green supply implementation based on fuzzy QFD: an application in GPLM system
WSEAS TRANSACTIONS on SYSTEMS
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In the real situations, decision makers are often faced to a plurality of objectives and constraints in a world of imprecise data about the preferences of agents, the local constraints and the global environment. In a fuzzy environment, fuzzy linear programming (FLP) and fuzzy goal programming (FGP) problems incorporate fuzzy objective functions and constraints, fuzzy parameter and variable sets. Mathematical operators are used to aggregate the fuzzy objective functions and constraints. The optimal solution corresponds to the maximum degree of the membership function in the decision set. The resolution of the multi-objective FLP consists in reducing the vector optimization of objective functions to a single objective. Weighted goal programming problems consider the relative importance of objectives. This contribution surveys essential techniques with numerical applications to simple economic problems. The computations are carried out using the software Mathematica® 7.0.1 and the subpackage Fuzzy Logic 2, from which selected primitives are proposed.