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Towards Explainable Fuzzy AI: Concepts, Paradigms, Tools, and Techniques / / by Vladik Kreinovich



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Autore: Kreinovich Vladik Visualizza persona
Titolo: Towards Explainable Fuzzy AI: Concepts, Paradigms, Tools, and Techniques / / by Vladik Kreinovich Visualizza cluster
Pubblicazione: Cham : , : Springer International Publishing : , : Imprint : Springer, , 2022
Edizione: 1st ed. 2022.
Descrizione fisica: 1 online resource (136 pages)
Disciplina: 006.3
Soggetto topico: Computational intelligence
Artificial intelligence
Engineering - Data processing
Computational Intelligence
Artificial Intelligence
Data Engineering
Nota di bibliografia: Includes bibliographical references and index.
Nota di contenuto: Why Explainable AI? Why Fuzzy Explainable AI? What Is Fuzzy? -- Defuzzification -- Which Fuzzy Techniques? -- So How Can We Design Explainable Fuzzy AI: Ideas -- How to Make Machine Learning Itself More Explainable -- Final Self-Test.
Sommario/riassunto: Modern AI techniques –- especially deep learning –- provide, in many cases, very good recommendations: where a self-driving car should go, whether to give a company a loan, etc. The problem is that not all these recommendations are good -- and since deep learning provides no explanations, we cannot tell which recommendations are good. It is therefore desirable to provide natural-language explanation of the numerical AI recommendations. The need to connect natural language rules and numerical decisions is known since 1960s, when the need emerged to incorporate expert knowledge -- described by imprecise words like "small" -- into control and decision making. For this incorporation, a special "fuzzy" technique was invented, that led to many successful applications. This book described how this technique can help to make AI more explainable.The book can be recommended for students, researchers, and practitioners interested in explainable AI.
Titolo autorizzato: Towards Explainable Fuzzy AI: Concepts, Paradigms, Tools, and Techniques  Visualizza cluster
ISBN: 9783031099748
9783031099731
Formato: Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione: Inglese
Record Nr.: 9910595058303321
Lo trovi qui: Univ. Federico II
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Serie: Studies in Computational Intelligence, . 1860-9503 ; ; 1047