Analysis of Robot Selection Based on 2-Tuple Picture Fuzzy Linguistic Aggregation Operators

Arshad Ahmad Khan, Muhammad Qiyas, Saleem Abdullah, Jianchao Luo and Mahwish Bano
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Arshad Ahmad Khan: College of Economics and Management, Northwest A&F University, Yangling 712100, China
Muhammad Qiyas: Department of Mathematics, Abdul Wali Khan University, Mardan 23200, Pakistan
Saleem Abdullah: Department of Mathematics, Abdul Wali Khan University, Mardan 23200, Pakistan
Jianchao Luo: College of Economics and Management, Northwest A&F University, Yangling 712100, China
Mahwish Bano: Department of Mathematics, Air University, Islamabad 44000, Pakistan

Mathematics, 2019, vol. 7, issue 10, 1-19

Abstract: The aim of this article is to propose the 2-tuple picture fuzzy linguistic aggregation operators and a decision-making model to deal with uncertainties in the form of 2-tuple picture fuzzy linguistic sets; 2-tuple picture fuzzy linguistic operators have more flexibility than general fuzzy set. We proposed a number of aggregation operators, namely, 2-TPFLWA, 2-TPFLOWA, 2-TPFLHA, 2-TPFLWG, 2-TPFLOWG, and 2-TPFLHG operators. The distinguished feature of the developed operators are studied. At that point, we used these operators to design a model to deal with multiple attribute decision-making issues under the 2-tuple picture fuzzy linguistic information. Then, a practical application of robot selection by manufacturing unit is given to prove the introduced technique and to show its practicability and effectiveness. Besides this, a systematic comparison analysis with other existent approaches is conducted to reveal the advantage of our developed method. Results indicate that the proposed method is suitable and effective for decision-making problems.

Keywords: picture fuzzy set; 2-tuple linguistic model; 2-tulpe picture fuzzy linguistic set (search for similar items in EconPapers)
JEL-codes: C (search for similar items in EconPapers)
Date: 2019
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