دورية أكاديمية

Enhanced group decision-making framework for financial performance evaluation of high-tech enterprises under interval neutrosophic environment.

التفاصيل البيبلوغرافية
العنوان: Enhanced group decision-making framework for financial performance evaluation of high-tech enterprises under interval neutrosophic environment.
المؤلفون: Li, Heng1 (AUTHOR) 13365916389@163.com
المصدر: Journal of Intelligent & Fuzzy Systems. 2024, Vol. 46 Issue 3, p6249-6263. 15p.
مصطلحات موضوعية: *GROUP decision making, *FINANCIAL performance, *BUSINESS enterprises, *EMPLOYEE rights, GREY relational analysis
مستخلص: The financial performance of enterprises has always been the key to their survival and development, especially for high-tech enterprises. Evaluating the financial performance of high-tech enterprises is beneficial for the management department to accurately understand the financial situation of the enterprise, timely identify financial problems, and study solutions based on this; On the other hand, the scientific evaluation of enterprise performance also provides useful assistance for other stakeholders such as the government, creditors, and enterprise employees to exercise their rights. With the development of the times and the progress of society, high-tech enterprises have developed rapidly. Studying the financial performance of high-tech enterprises has important theoretical and practical significance. The financial performance evaluation of high-tech enterprises is a classical MAGDM problems. Recently, the TODIM (TODIM) and (grey relational analysis) GRA technique has been employed to cope with MAGDM issues. The interval neutrosophic sets (INSs) are employed as a tool for characterizing uncertain information during the financial performance evaluation of high-tech enterprises. In this manuscript, the interval neutrosophic number TODIM-GRA (INN-TODIM-GRA) technique is implemented to solve the MAGDM under INSs. In the end, a numerical case study for financial performance evaluation of high-tech enterprises is employed to validate the proposed technique. [ABSTRACT FROM AUTHOR]
Copyright of Journal of Intelligent & Fuzzy Systems is the property of IOS Press and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
قاعدة البيانات: Business Source Index
الوصف
تدمد:10641246
DOI:10.3233/JIFS-237196