Fuzzy comprehensive model of manufacturing industry transfer risk based on economic big data analysis

• Autorzy: Sun Tong , Liu Chunzhi

Identyfikatory

DOI

10.24425/bpasts.2021.139959

• Języki publikacji: EN

Abstrakty

EN

Aiming at the problems of low accuracy, low efficiency and low stability of traditional methods and recent developments in advanced technology incite the industries to be in sync with modern technology. With respect to various available techniques, this paper designs a fuzzy comprehensive evaluation model of the manufacturing industry for transferring risk based on economic big-data analytics. The big-data analysis method is utilized to obtain the data source of fuzzy evaluation of the manufacturing industry to transfer risk using data as the basis of risk evaluation. Based on the risk factors, the proposed model establishes the risk index system of the manufacturing industry and uses the expert evaluation method to design the scoring method of the evaluation index system. To ensure the accuracy of the evaluation results, the manufacturing industry’s fuzzy comprehensive model is established using the entropy weight method, and the expert evaluation results are modified accordingly. The experimental results show that the highest efficiency of the proposed method is 96%, the highest accuracy of the evaluation result is 75%. The evaluation result’s stability is higher than the other existing methods, which fully verifies the effectiveness and can provide a reliable theoretical basis for enterprise risk evaluation research.

Słowa kluczowe

EN

economic big data; manufacturing industry; industrial transfer risk; entropy weight method; fuzzy model

PL

zbiór danych ekonomicznych; przemysł wytwórczy; ryzyko transferu przemysłowego; metoda wag entropii; model rozmyty

• Wydawca: Polska Akademia Nauk, Wydział IV Nauk Technicznych
• Czasopismo: Bulletin of the Polish Academy of Sciences. Technical Sciences
• Rocznik: 2022
• Tom: Vol. 70, nr 2
• Strony: art. no. e139959
• Opis fizyczny: Bibliogr. 26 poz., rys., tab.

Twórcy

autor

Sun Tong

• Department of Economics, Shenyang Institute of Science and Technology, Shenyang, 110167, China

autor

Liu Chunzhi

• College of International Business, Shenyang Normal University, Shenyang, 110034, China

Bibliografia

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Uwagi

Opracowanie rekordu ze środków MEiN, umowa nr SONP/SP/546092/2022 w ramach programu "Społeczna odpowiedzialność nauki" - moduł: Popularyzacja nauki i promocja sportu (2022-2023).