A flexible programming approach based on intuitionistic fuzzy optimization and geometric programming for solving multi-objective nonlinear programming problems

•We propose a new method for solving nonlinear programming problems.•It integrates the concepts of intuitionistic fuzzy sets and geometric programming.•A two steps approach is employed to determine satisfying solutions to the problem.•The obtained solutions satisfy the conditions of Pareto-optimalit...

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Veröffentlicht in:	Expert systems with applications Jg. 93; S. 245 - 256
Hauptverfasser:	Jafarian, E., Razmi, J., Baki, M.F.
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	New York Elsevier Ltd 01.03.2018 Elsevier BV
Schlagworte:	Constraint modelling Decision making Fuzzy sets Geometric programming Interactive decision making Intuitionistic fuzzy optimization Iterative methods Mathematical programming Multi-objective nonlinear programming Multiple objective analysis Nonlinear programming Optimization Problem solving Intuitionistic fuzzy optimization Multi-objective nonlinear programming Interactive decision making Geometric programming
ISSN:	0957-4174, 1873-6793
Online-Zugang:	Volltext
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