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      Research on Investment Environment Performance Evaluation of Blockchain Industry with Intuitionistic Fuzzy CODAS Method

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      Scientific Programming
      Hindawi Limited

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          Abstract

          With global resource waste and environmental pollution becoming increasingly serious, corporate investment environmental performance (CIEP) of blockchain industry has received much attention from researchers over the past decade. As an important part of economic development, enterprises also pay increasing attention to environmental protection and pollution control. CIEP of blockchain industry is regarded as the result of corporate environmental management. Assessing CIEP of blockchain industry can not only make enterprises focus on the environmental protection and management but also promote sustainable social development. Also, it is always viewed as multiattribute group decision making (MAGDM). Thus, a new MAGDM model is used to tackle it. Based on the CODAS (combinative distance-based assessment) method and intuitionistic fuzzy sets (IFSs), this paper designs the distance-based IF-CODAS method to assess CIEP. Eventually, an application about CIEP evaluation is employed to show the superiority of the defined method. The results illustrate that the defined framework is very useful for assessing CIEP.

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          Most cited references65

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          Fuzzy sets

          L.A. Zadeh (1965)
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            Intuitionistic fuzzy sets

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              Some geometric aggregation operators based on intuitionistic fuzzy sets

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                Author and article information

                Contributors
                Journal
                Scientific Programming
                Scientific Programming
                Hindawi Limited
                1875-919X
                1058-9244
                November 22 2021
                November 22 2021
                : 2021
                : 1-8
                Affiliations
                [1 ]School of Electrical Engineering and Computer, Jilin Jianzhu University, Changchun 130118, Jilin, China
                Article
                10.1155/2021/1387062
                fce6da40-3c4d-4c98-a0e5-d94c2df7d9d7
                © 2021

                https://creativecommons.org/licenses/by/4.0/

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