Automatic Extraction of Linguistic Description from Fuzzy Rule Base
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arXiv
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| Hauptverfasser: | , |
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| Format: | Preprint |
| Veröffentlicht: |
2024
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| _version_ | 1866909160408350720 |
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| author | Siminski, Krzysztof Wnuk, Konrad |
| author_facet | Siminski, Krzysztof Wnuk, Konrad |
| contents | Neuro-fuzzy systems are a technique of explainable artificial intelligence (XAI). They elaborate knowledge models as a set of fuzzy rules. Fuzzy sets are crucial components of fuzzy rules. They are used to model linguistic terms. In this paper, we present an automatic extraction of fuzzy rules in the natural English language. Full implementation is available free from a public repository. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2404_03058 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | Automatic Extraction of Linguistic Description from Fuzzy Rule Base Siminski, Krzysztof Wnuk, Konrad Machine Learning Artificial Intelligence Neuro-fuzzy systems are a technique of explainable artificial intelligence (XAI). They elaborate knowledge models as a set of fuzzy rules. Fuzzy sets are crucial components of fuzzy rules. They are used to model linguistic terms. In this paper, we present an automatic extraction of fuzzy rules in the natural English language. Full implementation is available free from a public repository. |
| title | Automatic Extraction of Linguistic Description from Fuzzy Rule Base |
| topic | Machine Learning Artificial Intelligence |
| url | https://arxiv.org/abs/2404.03058 |