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A study on interactive fuzzy multi-objective nonlinear programming
International Journal of Statistics and Applied Mathematics · 2019 · Vol. 4(4) · pp. 59–65
Abstract
This paper presents the method for solving nonlinear programming problems with multiple objectives. We transform these problems to goal multi-objective nonlinear programming problem to solve the corresponding minimax problem to obtain the M-Pareto optimal solution and the membership function value together with the trade-off rate information between the membership functions.
Optimization and Mathematical ProgrammingMathematical optimizationMinimaxNonlinear programmingFuzzy logicNonlinear systemMathematicsPareto principleMembership functionFuzzy setComputer science
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