Content area

Abstract

In solving real life transportation problem we often face the state of uncertainty as well as hesitation due to various uncontrollable factors. To deal with uncertainty and hesitation many authors have suggested the intuitionistic fuzzy representation for the data. So, in this paper, we consider a transportation problem having uncertainty and hesitation in supply, demand and costs. We formulate the problem and utilize triangular intuitionistic fuzzy numbers (TrIFNs) to deal with uncertainty and hesitation. We propose a new method called PSK method for finding the intuitionistic fuzzy optimal solution for fully intuitionistic fuzzy transportation problem in single stage. Also the new multiplication operation on TrIFN is proposed to find the optimal object value in terms of TrIFN. The main advantage of this method is computationally very simple, easy to understand and also the optimum objective value obtained by our method is physically meaningful. Finally the effectiveness of the proposed method is illustrated by means of a numerical example which is followed by graphical representation of the finding.

Details

Title
Computationally simple approach for solving fully intuitionistic fuzzy real life transportation problems
Volume
7
Issue
1
Pages
90-101
Publication year
2016
Publication date
2016
Publisher
Springer Nature B.V.
Place of publication
Dordrecht
Country of publication
Netherlands
ISSN
09756809
e-ISSN
09764348
Source type
Scholarly Journal
Language of publication
English
Document type
Journal Article
ProQuest document ID
1880833016
Document URL
https://www.proquest.com/scholarly-journals/computationally-simple-approach-solving-fully/docview/1880833016/se-2?accountid=208611
Copyright
Copyright Springer Science & Business Media 2016
Last updated
2023-11-26
Database
ProQuest One Academic