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  • 标题:Fuzzy Logic in Business, Management and Accounting
  • 本地全文:下载
  • 作者:Alexander Báez Hernández ; Debrayan Bravo Hidalgo
  • 期刊名称:Open Journal of Business and Management
  • 印刷版ISSN:2329-3284
  • 电子版ISSN:2329-3292
  • 出版年度:2020
  • 卷号:08
  • 期号:06
  • 页码:2524-2544
  • DOI:10.4236/ojbm.2020.86157
  • 语种:English
  • 出版社:Scientific Research Publishing
  • 摘要:The aim of the paper is to show the implementation of fuzzy logic in business, administration and accounting, through the research published in Scopus. The results of the document focus on the following sections: 1) Fuzzy set theory, in business, administration and accounting. 2) Analysis of fuzzy logic bibliometrics in business, administration and accounting. 3) Identification and characterization of the documents or seminal documents most cited in applications of fuzzy logic in business, administration and accounting. The method used in this contribution is documentary research using the Scopus database and the VOSviewer science bibliometric analysis and mapping tool. In the future, this computational practice will focus on new diffuse models and the combination of these with other artificial intelligence techniques such as neural networks, genetic algorism, forage bacteria, among others.
  • 关键词:Artificial Intelligence;Decision Making;Management Tools;Accounting Operations
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