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| Author | : Erich P. Klement |
| Publisher | : Springer |
| Total Pages | : 203 |
| Release | : 2014-03-12 |
| Genre | : Computers |
| ISBN | : 9783662166703 |
Download Fuzzy Logic in Artificial Intelligence Book in PDF, ePub and Kindle
This volume contains the proceedings of the Eighth Austrian Artificial Intelligence Conference, held in Linz, Austria, in June 1993. The focus of the conference was on "Fuzzy Logic in Artificial Intelligence". The volume contains abstracts of two invited talks and full versions of 17 carefully selected papers. The invited talks were: "The role of fuzzylogic and soft computing in the conception and design of intelligent systems" by Lotfi A. Zadeh, and "A contextual approach for AI systems development" by Irina V. Ezhkova. The contributed papers are grouped into sections on theoretical issues, machine learning, expert systems, robotics and control, applications to medicine, and applications to car driving. Additionally, the volume contains descriptions of the four workshops that took place during the conference.
| Author | : Max Parasol |
| Publisher | : Cambridge University Press |
| Total Pages | : 423 |
| Release | : 2021-12-16 |
| Genre | : Computers |
| ISBN | : 131651336X |
Download AI Development and the ‘Fuzzy Logic' of Chinese Cyber Security and Data Laws Book in PDF, ePub and Kindle
Explains the rapid rise of China's innovation system and provides a roadmap for the prospects of China's AI development.
| Author | : Ronald R. Yager |
| Publisher | : Springer Science & Business Media |
| Total Pages | : 358 |
| Release | : 2012-12-06 |
| Genre | : Computers |
| ISBN | : 1461536405 |
Download An Introduction to Fuzzy Logic Applications in Intelligent Systems Book in PDF, ePub and Kindle
An Introduction to Fuzzy Logic Applications in Intelligent Systems consists of a collection of chapters written by leading experts in the field of fuzzy sets. Each chapter addresses an area where fuzzy sets have been applied to situations broadly related to intelligent systems. The volume provides an introduction to and an overview of recent applications of fuzzy sets to various areas of intelligent systems. Its purpose is to provide information and easy access for people new to the field. The book also serves as an excellent reference for researchers in the field and those working in the specifics of systems development. People in computer science, especially those in artificial intelligence, knowledge-based systems, and intelligent systems will find this to be a valuable sourcebook. Engineers, particularly control engineers, will also have a strong interest in this book. Finally, the book will be of interest to researchers working in decision support systems, operations research, decision theory, management science and applied mathematics. An Introduction to Fuzzy Logic Applications in Intelligent Systems may also be used as an introductory text and, as such, it is tutorial in nature.
| Author | : John Yen |
| Publisher | : Pearson |
| Total Pages | : 586 |
| Release | : 1999 |
| Genre | : Computers |
| ISBN | : |
Download Fuzzy Logic Book in PDF, ePub and Kindle
Providing equal emphasis on theoretical foundations and practical issues, this book features fuzzy logic concepts and techniques in intelligent systems, control, and information technology. Uses Fuzzy Logic Toolbox MATLAB to demonstrate exemplar applications and to develop hands-on exercises.
| Author | : Anca L. Ralescu |
| Publisher | : Springer Science & Business Media |
| Total Pages | : 264 |
| Release | : 1999-07-28 |
| Genre | : Computers |
| ISBN | : 9783540663744 |
Download Fuzzy Logic in Artificial Intelligence Book in PDF, ePub and Kindle
This volume constitutes the thoroughly refereed post-workshop proceedings of an international workshop on fuzzy logic in Artificial Intelligence held in Negoya, Japan during IJCAI '97. The 17 revised full papers presented have gone through two rounds of reviewing and revision. Three papers by leading authorities in the area are devoted to the general relevance of fuzzy logic and fuzzy sets to AI. The remaining papers address various relevant issues ranging from theory to application in areas like knowledge representation, induction, logic programming, robotics, pattern recognition, etc.
| Author | : Lefteri H. Tsoukalas |
| Publisher | : McGraw Hill Professional |
| Total Pages | : 174 |
| Release | : 2023-10-27 |
| Genre | : Technology & Engineering |
| ISBN | : 1264676131 |
Download Fuzzy Logic: Applications in Artificial Intelligence, Big Data, and Machine Learning Book in PDF, ePub and Kindle
Fuzzy logic principles, practices, and real-world applications This hands-on guide offers clear explanations of fuzzy logic along with practical applications and real-world examples. Written by an award-winning engineer, Fuzzy Logic: Applications in Artificial Intelligence, Big Data, and Machine Learning is aimed at improving competence and motivation in students and professionals alike. Inside, you will discover how to apply fuzzy logic in the context of pervasive digitization and big data across emerging technologies which require a very different man-machine relationship than the ones previously used in engineering, science, economics, and social sciences. Applications covered include intelligent energy systems with demand response, smart homes, electrification of transportation, supply chain efficiencies, smart cities, e-commerce, education, healthcare, and decarbonization. Serves as a classroom guide and as an on-the-job resource Ancillaries include a sample syllabus, test sets with answer keys, and additional self-study resources for students Written by an expert in the field and experienced author
| Author | : Anca L. Ralescu |
| Publisher | : |
| Total Pages | : 264 |
| Release | : 2014-01-15 |
| Genre | : |
| ISBN | : 9783662211977 |
Download Fuzzy Logic in Artificial Intelligence Book in PDF, ePub and Kindle
| Author | : Daniel Mcneill |
| Publisher | : Simon and Schuster |
| Total Pages | : 324 |
| Release | : 1994-04-14 |
| Genre | : Business & Economics |
| ISBN | : 0671875353 |
Download Fuzzy Logic Book in PDF, ePub and Kindle
Traces the story of Lofti Zadeh, an Iranian-American professor at Berkeley who began developing fuzzy logic - the way to program computers so they can mimic the imprecise way that humans make decisions.
| Author | : Trevor Martin |
| Publisher | : Springer Science & Business Media |
| Total Pages | : 294 |
| Release | : 1997-01-22 |
| Genre | : Mathematics |
| ISBN | : 9783540624745 |
Download Fuzzy Logic in Artificial Intelligence Book in PDF, ePub and Kindle
This thoroughly refereed and well organized collection of papers is largely based on papers originally presented at the IJCAI'95 Workshop on Fuzzy Logic in AI, held in Montreal, Canada, in August 1995. Additionally, a few papers were invited in order to round off the scope and competent coverage of relevant topics. The 20 revised full papers included are organized in sections on hybrid and novel architectures, machine learning and data mining, image processing and computer vision, and theoretical developments. Focusing on the most pressing problems of AI, the volume supports the view that fuzzy systems combined with traditional AI leads the move towards the next generation of intelligent systems.
| Author | : Jenny Carter |
| Publisher | : Springer Nature |
| Total Pages | : 269 |
| Release | : 2021-05-04 |
| Genre | : Computers |
| ISBN | : 3030664740 |
Download Fuzzy Logic Book in PDF, ePub and Kindle
Since its inception, fuzzy logic has attracted an incredible amount of interest, and this interest continues to grow at an exponential rate. As such, scientists, researchers, educators and practitioners of fuzzy logic continue to expand on the applicability of what and how fuzzy can be utilised in the real-world. In this book, the authors present key application areas where fuzzy has had significant success. The chapters cover a plethora of application domains, proving credence to the versatility and robustness of a fuzzy approach. A better understanding of fuzzy will ultimately allow for a better appreciation of fuzzy. This book provides the reader with a varied range of examples to illustrate what fuzzy logic can be capable of and how it can be applied. The text will be ideal for individuals new to the notion of fuzzy, as well as for early career academics who wish to further expand on their knowledge of fuzzy applications. The book is also suitable as a supporting text for advanced undergraduate and graduate-level modules on fuzzy logic, soft computing, and applications of AI.
