A Scientific Decision Framework for Supplier Selection under Interval Valued Intuitionistic Fuzzy Environment
This paper proposes a new scientific decision framework (SDF) under interval valued intuitionistic fuzzy (IVIF) environment for supplier selection (SS). The framework consists of two phases, where, in the first phase, criteria weights are estimated in a sensible manner using newly proposed IVIF base...
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Series: | Mathematical Problems in Engineering |
Online Access: | http://dx.doi.org/10.1155/2017/1438425 |
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doaj-074a339444844f1c8fc6387484fa242f2020-11-24T20:40:13ZengHindawi LimitedMathematical Problems in Engineering1024-123X1563-51472017-01-01201710.1155/2017/14384251438425A Scientific Decision Framework for Supplier Selection under Interval Valued Intuitionistic Fuzzy EnvironmentR. Krishankumar0K. S. Ravichandran1R. Ramprakash2School of Computing, SASTRA University, Thanjavur, Tamil Nadu, IndiaSchool of Computing, SASTRA University, Thanjavur, Tamil Nadu, IndiaSchool of Management, SASTRA University, Thanjavur, Tamil Nadu, IndiaThis paper proposes a new scientific decision framework (SDF) under interval valued intuitionistic fuzzy (IVIF) environment for supplier selection (SS). The framework consists of two phases, where, in the first phase, criteria weights are estimated in a sensible manner using newly proposed IVIF based statistical variance (SV) method and, in the second phase, the suitable supplier is selected using ELECTRE (ELimination and Choice Expressing REality) ranking method under IVIF environment. This method involves three categories of outranking, namely, strong, moderate, and weak. Previous studies on ELECTRE ranking reveal that scholars have only used two categories of outranking, namely, strong and weak, in the formulation of IVIF based ELECTRE, which eventually aggravates fuzziness and vagueness in decision making process due to the potential loss of information. Motivated by this challenge, third outranking category, called moderate, is proposed, which considerably reduces the loss of information by improving checks to the concordance and discordance matrices. Thus, in this paper, IVIF-ELECTRE (IVIFE) method is presented and popular TOPSIS method is integrated with IVIFE for obtaining a linear ranking. Finally, the practicality of the proposed framework is demonstrated using SS example and the strength of proposed SDF is realized by comparing the framework with other similar methods.http://dx.doi.org/10.1155/2017/1438425 |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
R. Krishankumar K. S. Ravichandran R. Ramprakash |
spellingShingle |
R. Krishankumar K. S. Ravichandran R. Ramprakash A Scientific Decision Framework for Supplier Selection under Interval Valued Intuitionistic Fuzzy Environment Mathematical Problems in Engineering |
author_facet |
R. Krishankumar K. S. Ravichandran R. Ramprakash |
author_sort |
R. Krishankumar |
title |
A Scientific Decision Framework for Supplier Selection under Interval Valued Intuitionistic Fuzzy Environment |
title_short |
A Scientific Decision Framework for Supplier Selection under Interval Valued Intuitionistic Fuzzy Environment |
title_full |
A Scientific Decision Framework for Supplier Selection under Interval Valued Intuitionistic Fuzzy Environment |
title_fullStr |
A Scientific Decision Framework for Supplier Selection under Interval Valued Intuitionistic Fuzzy Environment |
title_full_unstemmed |
A Scientific Decision Framework for Supplier Selection under Interval Valued Intuitionistic Fuzzy Environment |
title_sort |
scientific decision framework for supplier selection under interval valued intuitionistic fuzzy environment |
publisher |
Hindawi Limited |
series |
Mathematical Problems in Engineering |
issn |
1024-123X 1563-5147 |
publishDate |
2017-01-01 |
description |
This paper proposes a new scientific decision framework (SDF) under interval valued intuitionistic fuzzy (IVIF) environment for supplier selection (SS). The framework consists of two phases, where, in the first phase, criteria weights are estimated in a sensible manner using newly proposed IVIF based statistical variance (SV) method and, in the second phase, the suitable supplier is selected using ELECTRE (ELimination and Choice Expressing REality) ranking method under IVIF environment. This method involves three categories of outranking, namely, strong, moderate, and weak. Previous studies on ELECTRE ranking reveal that scholars have only used two categories of outranking, namely, strong and weak, in the formulation of IVIF based ELECTRE, which eventually aggravates fuzziness and vagueness in decision making process due to the potential loss of information. Motivated by this challenge, third outranking category, called moderate, is proposed, which considerably reduces the loss of information by improving checks to the concordance and discordance matrices. Thus, in this paper, IVIF-ELECTRE (IVIFE) method is presented and popular TOPSIS method is integrated with IVIFE for obtaining a linear ranking. Finally, the practicality of the proposed framework is demonstrated using SS example and the strength of proposed SDF is realized by comparing the framework with other similar methods. |
url |
http://dx.doi.org/10.1155/2017/1438425 |
work_keys_str_mv |
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