Extended TOPSIS Method for Supplier Selection under Picture Hesitant Fuzzy Environment Using Linguistic Variables | Zendy

Rabia Ambrin | Zendy; Muhammad Ibrar | Zendy; Manuel De la Sen | Zendy; Ihsan Rabbi | Zendy; Asghar Khan | Zendy

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Extended TOPSIS Method for Supplier Selection under Picture Hesitant Fuzzy Environment Using Linguistic Variables

Author(s) -

Rabia Ambrin,

Muhammad Ibrar,

Manuel De la Sen,

Ihsan Rabbi,

Asghar Khan

Publication year - 2021

Publication title -

journal of mathematics

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.252

H-Index - 13

eISSN - 2314-4785

pISSN - 2314-4629

DOI - 10.1155/2021/6652586

Subject(s) - topsis , mathematics , selection (genetic algorithm) , fuzzy logic , sample (material) , operations research , fuzzy number , data mining , fuzzy set , artificial intelligence , computer science , chemistry , chromatography

The main purpose of this planned manuscript is to establish an algorithm for the solution of multiattribute decision-making (MADM) issues, where the experts utilizing linguistic variables provide the information about attributes in the form of picture hesitant fuzzy numbers. So, for the solution of these kinds of issues, we develop the TOPSIS algorithm under picture hesitant fuzzy environment using linguistic variables, which plays a vital role in practical applications, notably MADM issues, where the decision information is arranged by the decision-makers (DMs) in the form of picture hesitant fuzzy numbers. Finally, a sample example is given as an application and appropriateness of the planned method. At the end, we conduct comparison analysis of the planned method with picture fuzzy TOPSIS method and intuitionistic fuzzy TOPSIS method.

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