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

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.

Keywords

• artificial intelligence‎
• ‎fuzzy sets‎
• ‎automated reasoning‎
• ‎autonomous agents‎
• ‎machine learning‎
• ‎deep learning‎
• ‎information reasoning‎
• ‎neural networks‎