‎Role of Fuzzy Sets on Artificial Intelligence Methods‎: ‎A literature Review

Transactions on Fuzzy Sets and Systems

مقاله 11، دوره 2، شماره 1، مرداد 2023، صفحه 158-178   

نوع مقاله: Original Article

شناسه دیجیتال (DOI): 10.30495/tfss.2023.1976303.1060

نویسندگان

Cengiz Kahraman¹؛ Sezi Cevik Onar¹؛ Basar Oztaysi¹؛ Selcuk Cebi^{* 2}

¹Department of Industrial Engineering, Istanbul Technical University, Istanbul, Turkey.

²Department of Industrial Engineering, Yildiz Technical University, Istanbul, Turkey

چکیده

‎Machines can model and improve the human mind’s capabilities through artificial intelligence‎. ‎One of the most popular tools of artificial intelligence is fuzzy sets‎, ‎which can capture and model the vagueness and impreciseness in human thoughts‎. ‎This paper‎, ‎first of all‎, ‎introduces the recent extensions of ordinary fuzzy sets and then presents a literature review on the integration of fuzzy sets with other artificial intelligence techniques such as automated reasoning‎, ‎autonomous agents‎, ‎multi-agent systems‎, ‎machine learning‎, ‎case-based reasoning‎, ‎deep learning‎, ‎information reasoning‎, ‎information representation‎, ‎natural language processing‎, ‎symbolic reasoning‎, ‎and neural networks‎. ‎Graphical illustrations of literature review results are presented for each of these integrated artificial intelligence techniques‎. ‎The results of a patent search on fuzzy artificial intelligence are also given‎.

کلیدواژه‌ها

Artificial intelligence‎؛ ‎Fuzzy sets‎؛ ‎Automated reasoning‎؛ ‎Autonomous agents‎؛ ‎Machine learning‎؛ ‎Deep learning‎؛ ‎Information reasoning‎؛ ‎Neural networks‎

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