Explainable Ai And Other Applications Of Fuzzy Techniques
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Explainable Ai And Other Applications Of Fuzzy Techniques
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Author : Julia Rayz
language : en
Publisher: Springer Nature
Release Date : 2021-07-27
Explainable Ai And Other Applications Of Fuzzy Techniques written by Julia Rayz and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-07-27 with Technology & Engineering categories.
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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Author : Julia Rayz
language : en
Publisher:
Release Date : 2022
Explainable Ai And Other Applications Of Fuzzy Techniques written by Julia Rayz and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022 with categories.
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 Artificial Intelligence Based On Neuro Fuzzy Modeling With Applications In Finance
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Author : Tom Rutkowski
language : en
Publisher: Springer Nature
Release Date : 2021-06-07
Explainable Artificial Intelligence Based On Neuro Fuzzy Modeling With Applications In Finance written by Tom Rutkowski and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-06-07 with Technology & Engineering categories.
The book proposes techniques, with an emphasis on the financial sector, which will make recommendation systems both accurate and explainable. The vast majority of AI models work like black box models. However, in many applications, e.g., medical diagnosis or venture capital investment recommendations, it is essential to explain the rationale behind AI systems decisions or recommendations. Therefore, the development of artificial intelligence cannot ignore the need for interpretable, transparent, and explainable models. First, the main idea of the explainable recommenders is outlined within the background of neuro-fuzzy systems. In turn, various novel recommenders are proposed, each characterized by achieving high accuracy with a reasonable number of interpretable fuzzy rules. The main part of the book is devoted to a very challenging problem of stock market recommendations. An original concept of the explainable recommender, based on patterns from previous transactions, is developed; it recommends stocks that fit the strategy of investors, and its recommendations are explainable for investment advisers.
Towards Explainable Fuzzy Ai Concepts Paradigms Tools And Techniques
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Author : Vladik Kreinovich
language : en
Publisher: Springer Nature
Release Date : 2022-09-16
Towards Explainable Fuzzy Ai Concepts Paradigms Tools And Techniques written by Vladik Kreinovich and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-09-16 with Technology & Engineering categories.
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.
Applications Of Fuzzy Techniques
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Author : Scott Dick
language : en
Publisher: Springer Nature
Release Date : 2022-09-29
Applications Of Fuzzy Techniques written by Scott Dick and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-09-29 with Technology & Engineering categories.
This book is of interest to practitioners, researchers and graduate students seeking to apply existing techniques, to learn about the state of the art, or to explore novel concepts, in the theory and application of fuzzy sets and logic. Human knowledge and judgement are essential in both designing technological systems and in evaluating their outcomes. However, humans think and communicate in imprecise concepts, not numbers. Fuzzy sets and logic are well-known, widely used approaches to bridging this gap, which have been studied for nearly 60 years. NAFIPS 2022 brought together researchers studying both the theoretical foundations of fuzzy logic and its application to real-world problems. Their work examined fuzzy solutions to problems as diverse as astronomy, chemical engineering, economics, energy engineering, health care, and transportation engineering. Many papers combined fuzzy logic with interval or probabilistic computing, neural networks, and genetic algorithms.
Explainable Artificial Intelligence Xai In Manufacturing
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Author : Tin-Chih Toly Chen
language : en
Publisher: Springer Nature
Release Date : 2023-03-16
Explainable Artificial Intelligence Xai In Manufacturing written by Tin-Chih Toly Chen and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-03-16 with Technology & Engineering categories.
This book provides a comprehensive overview of the latest developments in Explainable AI (XAI) and its applications in manufacturing. It covers the various methods, tools, and technologies that are being used to make AI more understandable and communicable for factory workers. With the increasing use of AI in manufacturing, there is a growing need to address the limitations of advanced AI methods that are difficult to understand or explain to those without a background in AI. This book addresses this need by providing a systematic review of the latest research and advancements in XAI specifically tailored for the manufacturing industry. The book includes real-world case studies and examples to illustrate the practical applications of XAI in manufacturing. It is a valuable resource for researchers, engineers, and practitioners working in the field of AI and manufacturing.
Artificial Intelligence Theory And Applications
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Author : Endre Pap
language : en
Publisher: Springer Nature
Release Date : 2021-07-15
Artificial Intelligence Theory And Applications written by Endre Pap and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-07-15 with Technology & Engineering categories.
This book is an up-to-date collection, in AI and environmental research, related to the project ATLAS. AI is used for gaining an understanding of complex research phenomena in the environmental sciences, encompassing heterogeneous, noisy, inaccurate, uncertain, diverse spatio-temporal data and processes. The first part of the book covers new mathematics in the field of AI: aggregation functions with special classes such as triangular norms and copulas, pseudo-analysis, and the introduction to fuzzy systems and decision making. Generalizations of the Choquet integral with applications in decision making as CPT are presented. The second part of the book is devoted to AI in the geo-referenced air pollutants and meteorological data, image processing, machine learning, neural networks, swarm intelligence, robotics, mental well-being and data entry errors. The book is intended for researchers in AI and experts in environmental sciences as well as for Ph.D. students.
Computational Intelligence In Engineering Science
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Author : Ngoc Thanh Nguyen
language : en
Publisher: Springer Nature
Release Date : 2025-07-18
Computational Intelligence In Engineering Science written by Ngoc Thanh Nguyen and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-07-18 with Computers categories.
This four-volume set constitutes the refereed proceedings of the First International Conference on on Computational Intelligence in Engineering Science, ICCIES 2025, in Ho Chi Minh City, Vietnam, during July 23–25, 2025. The 115 full papers presented in these proceedings were carefully reviewed and selected from 210 submissions. The papers are organized in the following topical sections: Part I: Machine Learning; Wireless Networks (6G) Part II: Computer Vision; Natural Language Processing Part III: Intelligent Systems; Internet of Things Part IV: Machine Learning; Control Systems
Recent Developments And The New Directions Of Research Foundations And Applications
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Author : Shahnaz N. Shahbazova
language : en
Publisher: Springer Nature
Release Date : 2023-06-14
Recent Developments And The New Directions Of Research Foundations And Applications written by Shahnaz N. Shahbazova and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-06-14 with Technology & Engineering categories.
This book is a collection of papers presented during the 8th World Conference on Soft Computing in February 2022. The papers cover multiple areas important for soft computing. Some papers are dedicated to fundamental aspects of soft computing, i.e., fuzzy mathematics, type-2 fuzzy sets, evolutionary-based optimization, aggregation, and neural networks. Others emphasize the application of soft computing methods to data analysis, image processing, decision-making, classification, series prediction, economics, control, and modeling.
Translational Research In Biomedical Sciences Recent Progress And Future Prospects
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Author : Krupakar Parthasarathy
language : en
Publisher: Springer Nature
Release Date : 2024-08-29
Translational Research In Biomedical Sciences Recent Progress And Future Prospects written by Krupakar Parthasarathy and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-08-29 with Business & Economics categories.
The main objective of translational health science is to concentrate on discovering healthcare products for all people where care gaps exist. This book examines the applications of translational research, identifies its difficulties, outlines its essential characteristics, considers healthcare management strategies, and examines the public's perspectives today. This book assists aspiring implementation scientists in researching this area because the discipline is still relatively young for the wide range of researchers tackling the challenge of clinical and translational science, a field dedicated to examining human health and disease, interventions, and outcomes to develop new treatment approaches, devices, and modalities to improve health. This book Edition is the most authoritative and timely resource that introduces new physiological and therapeutic processes to engage the fastest-growing scientific outcomes from academic and industrial research. The chapters in this book give insights into perspectives on the field of clinical and translational science and discuss artificial intelligence in drug development and conventional and novel clinical trial designs. There is a lot of hope that using artificial intelligence (AI) will significantly advance all facets of healthcare, from diagnosis to therapy. AI is prepared to assist medical staff with various duties, including administrative workflow, clinical documentation, patient outreach, and specialist support like image analysis, medical device automation, and patient monitoring. Some of the most important uses of AI in healthcare will be covered in this book by eminent Scientists, Academicians, and Industrial persons from both clinical and non-clinical fields.