An approach of fuzzy and TOPSIS to bi-level multi-objective nonlinear fractional programming problem

This paper proposes a solution technique to bi-level multi-objective nonlinear fractional programming problem which is based on the concept of TOPSIS (technique for order preference by similarity to ideal solution) and fuzzy goal programming approach. Nonlinear polynomial functions are considered as...

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Veröffentlicht in:	Soft computing (Berlin, Germany) Jg. 23; H. 14; S. 5605 - 5618
Hauptverfasser:	Nayak, Suvasis, Ojha, Akshay
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Berlin/Heidelberg Springer Berlin Heidelberg 01.07.2019 Springer Nature B.V
Schlagworte:	Artificial Intelligence Computational Intelligence Control Decision making Engineering Functions (mathematics) Goal programming Linear programming Mathematical Logic and Foundations Mathematical programming Mechatronics Methodologies and Application Objectives Optimization Polynomials Robotics Fuzzy goal programming Nonlinear fractional programming TOPSIS Bi-level multi-objective optimization Distance functions
ISSN:	1432-7643, 1433-7479
Online-Zugang:	Volltext
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