Advanced Fuzzy Systems Design and Applications (Studies in Fuzziness and Soft Computing, 112, Band 112) - Hardcover

Jin, Yaochu

Hardcover

ISBN 10: 3790815373 ISBN 13: 9783790815375

Verlag: Physica, 2002

Inhaltsangabe

Fuzzy rule systems have found a wide range of applications in many fields of science and technology. Traditionally, fuzzy rules are generated from human expert knowledge or human heuristics for relatively simple systems. In the last few years, data-driven fuzzy rule generation has been very active. Compared to heuristic fuzzy rules, fuzzy rules generated from data are able to extract more profound knowledge for more complex systems. This book presents a number of approaches to the generation of fuzzy rules from data, ranging from the direct fuzzy inference based to neural net­ works and evolutionary algorithms based fuzzy rule generation. Besides the approximation accuracy, special attention has been paid to the interpretabil­ ity of the extracted fuzzy rules. In other words, the fuzzy rules generated from data are supposed to be as comprehensible to human beings as those generated from human heuristics. To this end, many aspects of interpretabil­ ity of fuzzy systems have been discussed, which must be taken into account in the data-driven fuzzy rule generation. In this way, fuzzy rules generated from data are intelligible to human users and therefore, knowledge about unknown systems can be extracted.

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Über die Autorin bzw. den Autor

Dujuan Wang received the B.S. and M.S. degrees in computer science and technology, and the Ph.D. degree in management science and engineering from the Dalian University of Technology (DLUT), Dalian, China. She is currently a professor with the Business School, Sichuan University, Chengdu, China. She has published over 30 papers in journals such as Naval Research Logistics, Omega, European Journal of Operational Research, IEEE Transactions on Systems, Man, and Cybernetics: Systems, International Journal of Production Research, Information Sciences, International Journal of Economics, Annals of Operations Research, Journal of Scheduling, and Computers & Operations Research. Her current research interests include scheduling theory, production and operations management, intelligent optimization, and computer applications. She is an Organizer of the IEEE Symposium on Computational Intelligence in E-Government 2016, and has been a member of the Program Committee of the 2015International Conference on Advanced Computational Intelligence 2015 and the Sixth International Conference on Swarm Intelligence 2015.

Yunqiang Yin received the Ph.D. degree in applied mathematics from Beijing Normal University, Beijing, China, in 2009. He is currently a Professor with the School of Management and Economics, University of Electronic Science and Technology of China, Chengdu, China. He has published over 80 papers in journals such as Naval Research Logistics, Omega, European Journal of Operational Research, IEEE Transactions on Systems, Man, and Cybernetics: Systems, International Journal of Production Research, Information Sciences, International Journal of Economics, Annals of Operations Research, Journal of Scheduling, and Computers & Operations Research. He has coauthored 12 books published by Chapman and Hall, McGraw-Hill, and Springer. His current research interests include Operations Research and Optimization, and Logistics Management. He was named one of the "most cited scientists" in computer science by the Elsevier in 2014 to 2018, respectively.

Yaochu Jin (M'98-SM'02-F'16) received the B.Sc., M.Sc., and Ph.D. degrees from Zhejiang University, Hangzhou, China, in 1988, 1991, and 1996 respectively, and the Dr.-Ing. degree from Ruhr University Bochum, Germany, in 2001. He is a Professor in Computational Intelligence, Head of the Nature Inspired Computing and Engineering (NICE) group, Co-Coordinator of the Centre for Mathematical and Computational Biology (CMCB), Department of Computer Science, University of Surrey, Guildford, U.K. He is also a Finland Distinguished Professor (2015-17) with the Industrial Optimization Group, Department of Mathematical Information, University of Jyvaskyla, Finland, and a Changjiang Distinguished Visiting Professor (2015-17), State Key Laboratory of Synthetical Automation of Process Industry, Northeastern University, China. His research interests mainly include evolutionary optimization, machine learning, and their real-world applications. He has (co)authored over 300 peer-reviewed journal and conference papers. His science-driven research interests lie in the interdisciplinary areas that bridge the gap between computational intelligence, computational neuroscience, and computational biology. He is also particularly interested in real-world problem solving using artificial intelligence and machine learning, including data-driven optimization, image identification, and interpretable and secure machine learning. He has (co)authored over 200 peer-reviewed journal and conference papers and been granted eight patents on evolutionary optimization. His research has been funded by EC FP7, UK EPSRC and international companies. He has delivered over 30 invited keynote speeches at international conferences. He is a Professor in Computational Intelligence, Head of the Nature Inspired Computing and Engineering (NICE) group, Co-Coordinator of the Centre for Mathema

Details zur Ausgabe

• Verlag: Physica
• Erscheinungsdatum: 2002
• Sprache: Englisch
• ISBN 10: 3790815373
• ISBN 13: 9783790815375
• Einband: Gebundene Ausgabe
• Anzahl der Seiten: 282
• Kontakt zum Hersteller: preigu GmbH & Co. KG; mail@preigu.de; ; Lengericher Landstr. 19; Osnabrück; Niedersachsen; 49078; Deutschland