Paper Info
Title
Computing A Pareto-Optimal Solution For Multi-Objective Flexible Linear Programming In A Bipolar Framework
Abstract
In this paper, we study the multi-objective flexible linear programming (MOFLP) problems (or fuzzy multi-objective linear programming problems) in the heterogeneous bipolar framework. Bipolarity allows us to distinguish between the negative and the positive preferences. Negative preferences denote what is unacceptable while positive preferences are less restrictive and express what is desirable. This viewpoint enables us to handle fuzzy sets representing constraints and objective functions separately and combine them in distinct ways. In this paper, a solution concept of Pareto-optimality for MOFLP problems is defined and an approach is proposed to single out such a solution for MOFLP with highest possible degree of feasibility.
Year
DOI
Venue
2015
10.1080/03081079.2014.969253
INTERNATIONAL JOURNAL OF GENERAL SYSTEMS
Keywords
DocType
Volume
bipolarity, flexible linear programming, fuzzy sets, Pareto-optimal solution, feasibility degree
Journal
44
Issue
ISSN
Citations 
4
0308-1079
0
PageRank 
References 
Authors
0.34
10
3
Name
Order
Citations
PageRank
Dipti Dubey1333.09
Suresh Chandra290248.57
Aparna Mehra39215.04