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Open AccessArticle

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

1
College of Economics and Management, Northwest A&F University, Yangling 712100, China
2
Department of Mathematics, Abdul Wali Khan University, Mardan 23200, Pakistan
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Department of Mathematics, Air University, Islamabad 44000, Pakistan
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Authors to whom correspondence should be addressed.
Mathematics 2019, 7(10), 1000; https://doi.org/10.3390/math7101000
Received: 12 September 2019 / Revised: 9 October 2019 / Accepted: 12 October 2019 / Published: 21 October 2019
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. View Full-Text
Keywords: picture fuzzy set; 2-tuple linguistic model; 2-tulpe picture fuzzy linguistic set picture fuzzy set; 2-tuple linguistic model; 2-tulpe picture fuzzy linguistic set
MDPI and ACS Style

Khan, A.A.; Qiyas, M.; Abdullah, S.; Luo, J.; Bano, M. Analysis of Robot Selection Based on 2-Tuple Picture Fuzzy Linguistic Aggregation Operators. Mathematics 2019, 7, 1000.

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