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An information-based score function of interval-valued intuitionistic fuzzy sets and its application in multiattribute decision making

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Abstract

The score functions are often used to rank the interval-valued intuitionistic fuzzy sets (IVIFSs) in multiattribute decision making (MADM). The purpose of this paper is to develop an information-based score function of the IVIFS and apply it to MADM. Considering the information amount, the reliability, the certainty information, and the relative closeness degree, we propose an information-based score function of the IVIFS. Comparing the information-based score function with existing ranking methods, we find that the information-based score function can overcome the drawbacks of the existing ranking methods and can rank the IVIFSs well. Three illustrative examples of MADM with linear programming are examined to demonstrate the applicability and feasibility of the information-based score function. It is shown that the information-based score function is well defined and can be applied to MADM.

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Authors and Affiliations

  1. School of Economics and Management, Fuzhou University, Fuzhou, 350108, China

    An-Peng Wei, Ping-Ping Lin & Bin-Qian Jiang

  2. School of Management and Economics, University of Electronic Science and Technology of China, Chengdu, 611731, China

    Deng-Feng Li

Authors
  1. An-Peng Wei
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  2. Deng-Feng Li
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  3. Ping-Ping Lin
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  4. Bin-Qian Jiang
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Correspondence to Deng-Feng Li.

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Author Anpeng Wei declares that he has no conflict of interest. Author Dengfeng Li declares that he has no conflict of interest. Author Pingping Lin declares that she has no conflict of interest. Author Binqian Jiang declares that she has no conflict of interest.

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Communicated by V. Loia.

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Wei, AP., Li, DF., Lin, PP. et al. An information-based score function of interval-valued intuitionistic fuzzy sets and its application in multiattribute decision making. Soft Comput 25, 1913–1923 (2021). https://doi.org/10.1007/s00500-020-05265-0

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