Abstract
Machines can model and improve the human minds 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.
| Original language | English |
|---|---|
| Pages (from-to) | 158-178 |
| Number of pages | 21 |
| Journal | Transactions on Fuzzy Sets and Systems |
| Volume | 2 |
| Issue number | 1 |
| DOIs | |
| Publication status | Published - 1 Mar 2023 |
Bibliographical note
Publisher Copyright:© 2023, Islamic Azad University. All rights reserved.
Keywords
- Artificial intelligence
- Automated reasoning
- Autonomous agents
- Deep learning
- Fuzzy sets
- Information reasoning
- Machine learning
- Neural networks