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This 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 associated integration theory.
Unconventional and challenging viewpoints are presented in this book that will be of interest to researchers in AI, psychology, cybernetics and systems science. The book systematically advances an alternative approach to analyze and model intelligence.
It began in Spring 1989, thirteen years after our Systems Science Department at SUNY -Binghamton was established, when I was asked by a group of students in our doctoral program to have a meeting with them.
Presenting a fresh approach to the fuzzy modeling of dynamic processes in systems science research, this book's coverage of both theory and key applications incorporates time as a source of fuzziness and treats applied EFD systems such as software libraries.
This book demonstrates the theoretical value and practical significance of systems science and its logic of thinking by presenting a rigorously developed foundation-a tool for intuitive reasoning, which is supported by both theory and empirical evidence, as well as practical applications in business decision making.
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