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Generalized Measure Theory

Generalized Measure Theory
Catalogue Information
Field name Details
Dewey Class 515.42
Title Generalized Measure Theory ([Ebook]) / by Zhenyuan Wang, George J. Klir.
Author Wang, Zhenyuan
Added Personal Name Klir, George J.
Other name(s) SpringerLink (Online service)
Publication Boston, MA : Springer , 2009.
Physical Details XVI, 384 pages, 50 illus., 25 illus. in color. : online resource.
Series IFSR International Series on Systems Science and Engineering 1574-0463 ; ; 25
ISBN 9780387768526
Summary Note This comprehensive text examines the relatively new mathematical area of generalized measure theory. This area expands classical measure theory by abandoning the requirement of additivity and replacing it with various weaker requirements. Each of these weaker requirements characterizes a class of nonadditive measures. This results in new concepts and methods that allow us to deal with many problems in a more realistic way. For example, it allows us to work with imprecise probabilities. The exposition of generalized measure theory unfolds systematically. It begins with preliminaries and new concepts, followed by a detailed treatment of important new results regarding various types of nonadditive measures and the associated integration theory. The latter involves several types of integrals: Sugeno integrals, Choquet integrals, pan-integrals, and lower and upper integrals. All of the topics are motivated by numerous examples, culminating in a final chapter on applications of generalized measure theory. Some key features of the book include: many exercises at the end of each chapter along with relevant historical and bibliographical notes, an extensive bibliography, and name and subject indices. The work is suitable for a classroom setting at the graduate level in courses or seminars in applied mathematics, computer science, engineering, and some areas of science. A sound background in mathematical analysis is required. Since the book contains many original results by the authors, it will also appeal to researchers working in the emerging area of generalized measure theory. About the Authors: Zhenyuan Wang is currently a Professor in the Department of Mathematics of University of Nebraska at Omaha. His research interests have been in the areas of nonadditive measures, nonlinear integrals, probability and statistics, and data mining. He has published one book and many papers in these areas. George J. Klir is currently a Distinguished Professor of Systems Science at Binghamton University (SUNY at Binghamton). He has published 29 books and well over 300 papers in a wide range of areas. His current research interests are primarily in the areas of fuzzy systems, soft computing, and generalized information theory.:
Contents note Preface -- Introduction -- Preliminaries -- Basic Ideas of Generalized Measure Theory -- Special Area of Generalized Measure Theory -- Extensions -- Structural Characteristics -- Measurable Functions on Monotone Measure Space -- Integration -- Sugeno Integrals -- Pan-Intergrals -- Choquet Integral -- Upper and Lower Integrations -- Constructing Generalized Measures -- Fuzzification in Generalized Measure Theory -- Applications of Generalized Measure Theory -- Bibliography -- Appendix A. Glossary of Key Concepts -- Appendix B. Glossary of Symbols -- Name Index -- Subject Index.
System details note Online access to this digital book is restricted to subscription institutions through IP address (only for SISSA internal users).
Internet Site http://dx.doi.org/10.1007/978-0-387-76852-6
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