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مقالات فارسیISIکنفرانسهاژورنالها

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

محل انتشار: مجله بحث هایی روی مجموعه ها و سیستم های فازی، دوره: 2، شماره: 1
سال انتشار: 1402
نوع سند: مقاله ژورنالی
زبان: انگلیسی
مشاهده: 92

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استخراج به نرم افزارهای پژوهشی:

لینک ثابت به این مقاله:
https://civilica.com/doc/1662377

شناسه ملی سند علمی:

JR_TFSS-2-1_010

تاریخ نمایه سازی: 2 خرداد 1402

چکیده مقاله:

‎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.

کلیدواژه ها:

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

نویسندگان

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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