Interactive Fuzzy Goal Programming Based on Taylor Series to Solve Multiobjective Nonlinear Programming Problems With Interval Type-2 Fuzzy Numbers

This paper presents an interactive fuzzy goal programming (FGP) approach for solving multiobjective nonlinear programming problems (MONLPP) with interval type-2 fuzzy numbers (IT2 FNs). The cost and time of the objective functions, the resources, and the requirements of each kind of resources are ta...

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Veröffentlicht in:	IEEE transactions on fuzzy systems Jg. 26; H. 4; S. 2434 - 2449
Hauptverfasser:	Dalman, Hasan, Bayram, Mustafa
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	New York IEEE 01.08.2018 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Schlagworte:	Decision making Equivalence Fuzzy goal programming (FGP) Fuzzy sets Goal programming interactive approach interval type-2 (IT2) fuzzy sets Linear programming multiobjective nonlinear programming Multiple objective analysis Nonlinear programming Pareto optimum Planning Programming Taylor series Uncertainty
ISSN:	1063-6706, 1941-0034
Online-Zugang:	Volltext
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