Journal
EXPERT SYSTEMS WITH APPLICATIONS
Volume 64, Issue -, Pages 228-238Publisher
PERGAMON-ELSEVIER SCIENCE LTD
DOI: 10.1016/j.eswa.2016.07.034
Keywords
Multi-objective; Preference function; Intuitionistic optimization technique; Optimistic view; Pessimistic view
Ask authors/readers for more resources
The objective of this manuscript is to present an algorithm for solving multi-objective optimization problem under the optimistic and pessimistic view point. The conflicting natures of the different objective have been handled by defining the membership functions corresponding to it in parabolic intuitionistic fuzzy set environment and thus the problem becomes parabolic multi-objective non-linear optimization programming problem (PMONLOPP). A linear and non-linear membership functions corresponding to each objective has been taken in account. An illustrative examples from transportation as well as in manufacturing systems are reported and compared with the typical approaches exist in the literature. As shown, the solutions obtained by the proposed approach are superior to those of existing best solutions reported in the literature. Further-more, experimental results indicate that the proposed approach may yield better solutions to these types of problems than those obtained by using current algorithms. (C) 2016 Elsevier Ltd. All rights reserved.
Authors
I am an author on this paper
Click your name to claim this paper and add it to your profile.
Reviews
Recommended
No Data Available