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Symbolic processing has limitations highlighted by the symbol grounding problem. Computational processing methods, like fuzzy logic, neural networks, and statis
Data Mining and Computational Intelligence
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Many business decisions are made in the absence of complete information about the decision consequences. Credit lines are approved without knowing the future be
Industrial Applications of Soft Computing
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Applications of Soft Computing have recently increased and methodological development has been strong. The book is a collection of new interesting industrial ap
Soft Computing for Control of Non-Linear Dynamical Systems
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This book presents a unified view of modelling, simulation, and control of non linear dynamical systems using soft computing techniques and fractal theory. Our
Granular Computing
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Granular Computing is concerned with constructing and processing carried out at the level of information granules. Using information granules, we comprehend the