Role of Fuzzy Sets on Artificial Intelligence Methods: A literature Review
Publish place: Transactions on Fuzzy Sets and Systems، Vol: 2، Issue: 1
Publish Year: 1402
نوع سند: مقاله ژورنالی
زبان: English
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JR_TFSS-2-1_010
تاریخ نمایه سازی: 2 خرداد 1402
Abstract:
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.
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Authors
Cengiz Kahraman
Department of Industrial Engineering, Istanbul Technical University, Istanbul, Turkey.
Sezi Onar
Department of Industrial Engineering, Istanbul Technical University, Istanbul, Turkey.
Basar Oztaysi
Department of Industrial Engineering, Istanbul Technical University, Istanbul, Turkey.
Selcuk Cebi
Department of Industrial Engineering, Yildiz Technical University, Istanbul, Turkey
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