Study on Enterprise Competitive Intelligence Evaluation Based on Mixed Uncertain Attribute Group Decision-making

• Published in: IOP conference series. Materials Science and Engineering Vol. 790; no. 1; pp. 12101 - 12106
• Main Authors: Song, Jiekun, Zhao, Zhihao, Zhang, Yemeng
• Format: Journal Article
• Language: English
• Published: Bristol IOP Publishing 01.03.2020
• Subjects: Algorithms; Competitive intelligence evaluation; Decision making; Decision theory; Evaluation; Group decision-making; Intelligence (information); Mixed uncertain attribute; Parameter uncertainty; Prospect theory; Psychology; Standardization; VIKOR
• ISSN: 1757-8981; 1757-899X
• DOI: 10.1088/1757-899X/790/1/012101

Enterprise competitive intelligence evaluation has the characteristics of uncertainty and group decision. It is significant to construct the evaluation model based on the mixed uncertain attribute group decision-making. In this paper, we reviewed the algorithms, order relations and distance measures of the main uncertain parameters. Based on mixed uncertain attribute group decision-making, prospect theory and VIKOR theory, we constructed the evaluation model. We put forward the processes including standardization, group integration, value measurement and ranking. An example analysis shows that the evaluation model can integrate a variety of uncertain indicators, comprehensively reflect the evaluation opinions of each expert, and reflect the decision-maker's risk psychology and preferences. The proposed model can provide more scientific and consistent conclusions for the evaluation and selection of competitive intelligence of enterprises.