03318nam 22006015 450 991059505830332120230810175703.09783031099748(electronic bk.)978303109973110.1007/978-3-031-09974-8(MiAaPQ)EBC7088329(Au-PeEL)EBL7088329(CKB)24846073300041(DE-He213)978-3-031-09974-8(PPN)264953746(EXLCZ)992484607330004120220916d2022 u| 0engurcnu||||||||txtrdacontentcrdamediacrrdacarrierTowards Explainable Fuzzy AI: Concepts, Paradigms, Tools, and Techniques /by Vladik Kreinovich1st ed. 2022.Cham :Springer International Publishing :Imprint: Springer,2022.1 online resource (136 pages)Studies in Computational Intelligence,1860-9503 ;1047Print version: Kreinovich, Vladik Towards Explainable Fuzzy AI: Concepts, Paradigms, Tools, and Techniques Cham : Springer International Publishing AG,c2022 9783031099731 Includes bibliographical references and index.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.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.Studies in Computational Intelligence,1860-9503 ;1047Computational intelligenceArtificial intelligenceEngineeringData processingComputational IntelligenceArtificial IntelligenceData EngineeringComputational intelligence.Artificial intelligence.EngineeringData processing.Computational Intelligence.Artificial Intelligence.Data Engineering.006.3006.3Kreinovich Vladik 117742MiAaPQMiAaPQMiAaPQ9910595058303321Towards Explainable Fuzzy AI: Concepts, Paradigms, Tools, and Techniques3577400UNINA