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Issue title: Digital transformation through advances in artificial intelligence and machine learning
Guest editors: Hasmat Malik, Gopal Chaudhary and Smriti Srivastava
Article type: Research Article
Authors: Wang, Caichuan; * | Li, Jiajun
Affiliations: School of Management, Northwestern Polytechnical University, Xi’an, Shaanxi, China
Correspondence: [*] Corresponding author. Caichuan Wang, School of Management, Northwestern Polytechnical University, Xi’an 710072, Shaanxi, China. E-mail: Wcc13720182019@163.com.
Abstract: The decision on the investment project is to analyze the feasibility and rationality of the project plan from multiple angles. However, due to the limitations of the actual project investment decision-making, this paper proposes a group decision making method based multifunctional intuitively fuzzy VIKOR interval sets. Firstly, according to the established investment decision-making model, the first round of preliminary candidate project schemes is selected. According to the definition of interval intuitionistic fuzzy sets and the traditional VIKOR method, established the research method of this article, and the project investment decision-making model based on VIKOR interval intuitionistic fuzzy sets is established. Finally, the project schemes are sorted according to the closeness degree of schemes. The results show that when sorting each candidate by Qi value, A4 > A3 > A2 > A1 can be obtained. Because Q4 = 0, Q3 = 0.31, the condition q3-q4 > 0.25 is satisfied. It is concluded that the method can not only meet the needs of actual decision-making, but also has strong operability and practicability. The research results have reference value and guiding significance for project investment decision-making, and can promote the sustainable development of the project.
Keywords: Project investment decision, break intuitively vague sets, VIKOR method, multi-attribute group decision making method
DOI: 10.3233/JIFS-189735
Journal: Journal of Intelligent & Fuzzy Systems, vol. 42, no. 2, pp. 623-631, 2022
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