[期刊论文]


Development and optimization of unrestricted LR-type intuitionistic fuzzy mathematical programming problems

作   者:
Vishnu Singh;Shiv Prasad Yadav;

出版年:2017

页     码:147 - 161
出版社:Elsevier BV


摘   要:

To the best of our knowledge, there is no method to find the product of unrestricted LR-type intuitionistic fuzzy numbers (IFNs) as well as the optimal solutions of LR-type intuitionistic fuzzy linear programming problems (IFLPPs) in which some or all the decision variables are unrestricted. Therefore it is necessary to pay attention to this issue and there is need to find the product of unrestricted LR-type IFNs as well as the optimal solutions of such programming problems. In this paper, the product of unrestricted LR-type IFNs based on the @a-cut, @b-cut and (@a, @b)-cut is proposed. Then with the help of proposed product, a new method is proposed to find the optimal solutions of unrestricted LR-type IFLPPs. Finally, an illustrative example is given to support the proposed method and investigated the applicability of existing approaches exist in the literature.



关键字:

Intuitionistic fuzzy number ; LR-Type intuitionistic fuzzy number ; Score function ; Accuracy function ; Score index ; Accuracy index


所属期刊
Expert Systems with Applications
ISSN: 0957-4174
来自:Elsevier BV