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

2022
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Release : 2022
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Kind : eBook
Book Rating : 755/5 ( 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. 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.

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

2022-09-16 Technology & Engineering
Download Towards Explainable Fuzzy AI: Concepts, Paradigms, Tools, and Techniques PDF Online Free

Author :
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.

Explainable Fuzzy Systems

2021-04-07 Technology & Engineering
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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.

Explainable AI and Other Applications of Fuzzy Techniques

2022
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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. .

Advanced AI Techniques and Applications in Bioinformatics

2021-10-17 Technology & Engineering
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Release : 2021-10-17
Genre : Technology & Engineering
Kind : eBook
Book Rating : 01X/5 ( reviews)

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Book Synopsis Advanced AI Techniques and Applications in Bioinformatics by : Loveleen Gaur

Download or read book Advanced AI Techniques and Applications in Bioinformatics written by Loveleen Gaur. This book was released on 2021-10-17. Available in PDF, EPUB and Kindle. Book excerpt: The advanced AI techniques are essential for resolving various problematic aspects emerging in the field of bioinformatics. This book covers the recent approaches in artificial intelligence and machine learning methods and their applications in Genome and Gene editing, cancer drug discovery classification, and the protein folding algorithms among others. Deep learning, which is widely used in image processing, is also applicable in bioinformatics as one of the most popular artificial intelligence approaches. The wide range of applications discussed in this book are an indispensable resource for computer scientists, engineers, biologists, mathematicians, physicians, and medical informaticists. Features: Focusses on the cross-disciplinary relation between computer science and biology and the role of machine learning methods in resolving complex problems in bioinformatics Provides a comprehensive and balanced blend of topics and applications using various advanced algorithms Presents cutting-edge research methodologies in the area of AI methods when applied to bioinformatics and innovative solutions Discusses the AI/ML techniques, their use, and their potential for use in common and future bioinformatics applications Includes recent achievements in AI and bioinformatics contributed by a global team of researchers

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