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Explainable AI and Other Applications of Fuzzy Techniques

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Release : 2022
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Kind : eBook
Book Rating : 005/5 ( reviews)

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Book Synopsis Explainable AI and Other Applications of Fuzzy Techniques by : Julia Rayz

Download or read book Explainable AI and Other Applications of Fuzzy Techniques written by Julia Rayz. This book was released on 2022. Available in PDF, EPUB and Kindle. Book excerpt: This book focuses on an overview of the AI techniques, their foundations, their applications, and remaining challenges and open problems. Many artificial intelligence (AI) techniques do not explain their recommendations. Providing natural-language explanations for numerical AI recommendations is one of the main challenges of modern AI. To provide such explanations, a natural idea is to use techniques specifically designed to relate numerical recommendations and natural-language descriptions, namely fuzzy techniques. This book is of interest to practitioners who want to use fuzzy techniques to make AI applications explainable, to researchers who may want to extend the ideas from these papers to new application areas, and to graduate students who are interested in the state-of-the-art of fuzzy techniques and of explainable AI-in short, to anyone who is interested in problems involving fuzziness and AI in general. .

Explainable AI and Other Applications of Fuzzy Techniques

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Release : 2021-07-27
Genre : Technology & Engineering
Kind : eBook
Book Rating : 998/5 ( reviews)

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Book Synopsis Explainable AI and Other Applications of Fuzzy Techniques by : Julia Rayz

Download or read book Explainable AI and Other Applications of Fuzzy Techniques written by Julia Rayz. This book was released on 2021-07-27. Available in PDF, EPUB and Kindle. Book excerpt: This book focuses on an overview of the AI techniques, their foundations, their applications, and remaining challenges and open problems. Many artificial intelligence (AI) techniques do not explain their recommendations. Providing natural-language explanations for numerical AI recommendations is one of the main challenges of modern AI. To provide such explanations, a natural idea is to use techniques specifically designed to relate numerical recommendations and natural-language descriptions, namely fuzzy techniques. This book is of interest to practitioners who want to use fuzzy techniques to make AI applications explainable, to researchers who may want to extend the ideas from these papers to new application areas, and to graduate students who are interested in the state-of-the-art of fuzzy techniques and of explainable AI—in short, to anyone who is interested in problems involving fuzziness and AI in general.

Explainable Fuzzy Systems

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Author :
Release : 2021-04-07
Genre : Technology & Engineering
Kind : eBook
Book Rating : 98X/5 ( reviews)

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Book Synopsis Explainable Fuzzy Systems by : Jose Maria Alonso Moral

Download or read book Explainable Fuzzy Systems written by Jose Maria Alonso Moral. This book was released on 2021-04-07. Available in PDF, EPUB and Kindle. Book excerpt: The importance of Trustworthy and Explainable Artificial Intelligence (XAI) is recognized in academia, industry and society. This book introduces tools for dealing with imprecision and uncertainty in XAI applications where explanations are demanded, mainly in natural language. Design of Explainable Fuzzy Systems (EXFS) is rooted in Interpretable Fuzzy Systems, which are thoroughly covered in the book. The idea of interpretability in fuzzy systems, which is grounded on mathematical constraints and assessment functions, is firstly introduced. Then, design methodologies are described. Finally, the book shows with practical examples how to design EXFS from interpretable fuzzy systems and natural language generation. This approach is supported by open source software. The book is intended for researchers, students and practitioners who wish to explore EXFS from theoretical and practical viewpoints. The breadth of coverage will inspire novel applications and scientific advancements.

Towards Explainable Fuzzy AI: Concepts, Paradigms, Tools, and Techniques

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Release : 2022-09-16
Genre : Technology & Engineering
Kind : eBook
Book Rating : 745/5 ( reviews)

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

Download or read book Towards Explainable Fuzzy AI: Concepts, Paradigms, Tools, and Techniques written by Vladik Kreinovich. This book was released on 2022-09-16. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Fuzzy Information Processing 2023

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Release : 2023-11-24
Genre : Technology & Engineering
Kind : eBook
Book Rating : 787/5 ( reviews)

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Book Synopsis Fuzzy Information Processing 2023 by : Kelly Cohen

Download or read book Fuzzy Information Processing 2023 written by Kelly Cohen. This book was released on 2023-11-24. Available in PDF, EPUB and Kindle. Book excerpt: This book is an overview of latest successes and applications of fuzzy techniques—techniques that use expert knowledge formulated by natural-language words like "small". Engineering applications deal with aerospace (control of spacecrafts and unmanned aerial vehicles, air traffic control, airport passenger flow predictions), materials (designing gold nano-structures for medicine, catalysis, and sensors), and robot navigation and manipulation. Other application areas include cosmology, demographics, finances, wine production, medicine (diagnostics, epidemics control), and predicting human behavior. In many cases, fuzzy techniques are combined with machine learning AI. Due to natural-language origin of fuzzy techniques, such combination adds explainability (X) to AI. This book is recommended to students and practitioners interested in the state-of-the-art fuzzy-related XAI and to researchers willing to take on numerous remaining challenges.

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