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

Autor:	Yemeng Zhang, Zhihao Zhao, Jiekun Song
Rok vydání:	2020
Předmět:	Knowledge management Competitive intelligence business.industry Computer science business Group decision-making
Zdroj:	IOP Conference Series: Materials Science and Engineering. 790:012101
ISSN:	1757-899X 1757-8981
Popis:	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.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::0080af0133d80a15966f8f0864ac5432 https://doi.org/10.1088/1757-899x/790/1/012101 Zobrazit plný text záznamu