Result: Sum of Linear Ratios Multiobjective Programming Problem: A Fuzzy Goal Programming Approach

Title:
Sum of Linear Ratios Multiobjective Programming Problem: A Fuzzy Goal Programming Approach
Source:
Nonlinear dynamics and systems theory. 12(3):289-302
Publisher Information:
Kiev: Informath Publishing Group, 2012.
Publication Year:
2012
Physical Description:
print, 32 ref
Original Material:
INIST-CNRS
Document Type:
Academic journal Article
File Description:
text
Language:
English
Author Affiliations:
Department of Mathematics, Motilal Nehru National Institute of Technology, Allahabad, India
Department of Mathematics, National Institute of Technology, Warangal, India
ISSN:
1562-8353
Rights:
Copyright 2015 INIST-CNRS
CC BY 4.0
Sauf mention contraire ci-dessus, le contenu de cette notice bibliographique peut être utilisé dans le cadre d’une licence CC BY 4.0 Inist-CNRS / Unless otherwise stated above, the content of this bibliographic record may be used under a CC BY 4.0 licence by Inist-CNRS / A menos que se haya señalado antes, el contenido de este registro bibliográfico puede ser utilizado al amparo de una licencia CC BY 4.0 Inist-CNRS
Notes:
Operational research. Management
Accession Number:
edscal.26260283
Database:
PASCAL Archive

Further Information

Sum of ratios optimization is an interesting field of research. This paper presents a solution method for sum of linear ratios multiobjective programming (SOLR ― MOP) problem using the fuzzy goal programming technique. Each membership function of fuzzy objectives is approximated into linear function by using first order Taylor's theorem about the vertex of the feasible region where the objective function has maximum value. Then the resulted approximated linearized membership functions may be used for the formulation of fuzzy goal programming. So the problem is solved using fuzzy goal programming technique. The efficiency of the method is measured by numerical examples.