Group Decision-Making Based on m-Polar Fuzzy Linguistic TOPSIS Method

The fuzzy linguistic approach provides favorable outputs in several areas, whose description is relatively qualitative. The encouragement for the utilization of sentences or words instead of numbers is that linguistic characterizations or classifications are usually less absolute than algebraic or a...

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Bibliographic Details
Published in:Symmetry (Basel) 2019-06, Vol.11 (6), p.735
Main Authors: Adeel, Arooj, Akram, Muhammad, Koam, Ali N. A.
Format: Article
Language:English
Subjects:
Algorithms
Computer programming
Decision making
Flow charts
Fuzzy sets
linguistic variable
Linguistics
MCGDM
Methods
mF set
mFLV
Multiple criterion
Sentences
TOPSIS
Variables
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Summary:The fuzzy linguistic approach provides favorable outputs in several areas, whose description is relatively qualitative. The encouragement for the utilization of sentences or words instead of numbers is that linguistic characterizations or classifications are usually less absolute than algebraic or arithmetical ones. In this research article, we animate the m-polar fuzzy (mF) linguistic approach and elaborate it with real life examples and tabular representation to develop the affluence of linguistic variables based on mF approach. As an extension of the Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) method, we develop an m-polar fuzzy linguistic TOPSIS approach for multi-criteria group decision-making (MCGDM). It is used to evaluate the best alternative, to get more authentic and comparable results and to handle the real life problems of having multi-polar information in terms of linguistic variables and values. In this approach decision-makers contribute their estimations in the form of linguistic term sets. To show the efficiency and compatibility of the proposed approach, we compare it with the m-polar fuzzy linguistic ELECTRE-I (Elimination and Choice Translating Reality) approach. Finally, we draw a flow chart of our proposed approach as an algorithm and generate a computer programming code.
ISSN:2073-8994
2073-8994
DOI:10.3390/sym11060735