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Article

Novel Multiple Attribute Group Decision-Making Methods Based on Linguistic Intuitionistic Fuzzy Information

by 1, 2,3 and 1,*
1
School of Science, Xihua University, Chengdu 610039, China
2
Data Recovery Key Laboratory of Sichuan Province, School of Mathematics and Information Science, Neijiang Normal University, Neijiang 641000, China
3
Numerical Simulation Key Laboratory of Sichuan Province, Neijiang Normal University, Neijiang 641000, China
*
Author to whom correspondence should be addressed.
Mathematics 2020, 8(3), 322; https://doi.org/10.3390/math8030322
Received: 22 January 2020 / Revised: 18 February 2020 / Accepted: 19 February 2020 / Published: 2 March 2020
(This article belongs to the Special Issue Group Decision Making Based on Artificial Intelligence)
As an effective technique to qualitatively depict assessment information, a linguistic intuitionistic fuzzy number (LIFN) is more appropriate to portray vagueness and indeterminacy in actual situations than intuitionistic fuzzy number (IFN). The prominent feature of a Muirhead mean (MM) operator is that it has the powerful ability to capture the correlations between any input-data and MM operator covers other common operators by assigning the different parameter vectors. In the article, we first analyze the limitations of the existing ranking approaches of LIFN and propose a novel ranking approach to surmount these limitations. Secondly, we propound several novel MM operators to fuse linguistic intuitionistic fuzzy (LIF) information, such as the LIF Muirhead mean (LIFMM) operator, the weighted LIF Muirhead mean (WLIFMM) operator and their dual operators, the LIFDMM operator and the WLIFDMM operator. Subsequently, we discuss several desirable properties along with exceptional cases of them. Moreover, two novel multiple attribute group decision-making approaches are developed based upon these operators. Ultimately, the effectuality and practicability of the propounded methods are validated through dealing with a global supplier selection issue, and the comparative analysis and the merits of the presented approaches are demonstrated by comparing them with existing approaches. View Full-Text
Keywords: intuitionistic fuzzy set; LIFN; MM operator; multiple attribute group decision-making intuitionistic fuzzy set; LIFN; MM operator; multiple attribute group decision-making
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MDPI and ACS Style

Rong, Y.; Liu, Y.; Pei, Z. Novel Multiple Attribute Group Decision-Making Methods Based on Linguistic Intuitionistic Fuzzy Information. Mathematics 2020, 8, 322. https://doi.org/10.3390/math8030322

AMA Style

Rong Y, Liu Y, Pei Z. Novel Multiple Attribute Group Decision-Making Methods Based on Linguistic Intuitionistic Fuzzy Information. Mathematics. 2020; 8(3):322. https://doi.org/10.3390/math8030322

Chicago/Turabian Style

Rong, Yuan, Yi Liu, and Zheng Pei. 2020. "Novel Multiple Attribute Group Decision-Making Methods Based on Linguistic Intuitionistic Fuzzy Information" Mathematics 8, no. 3: 322. https://doi.org/10.3390/math8030322

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