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Fuzzy logic applications allow uncertain or imprecise data to be clustered and analyzed when traditional methods cannot be used. This volume offers an introduction to fuzzy set theory and then progresses through the algorithms and techniques used to manipulate data using fuzzy sets, including classification, hierarchy, and cluster structure.

Addresses intelligent technologies for the disabled. This book presents information on innovative technologies and their applications in various systems aimed to better the lives of the disabled. It covers topics such as visual and auditory systems, sensory control systems, electrical stimulation, circulatory impairments, and intelligent skin.

Presents research results on intelligent character recognition techniques. This work integrates several artificial intelligence techniques, such as expert systems, neural networks, fuzzy systems, and evolutionary computing and demonstrates how these techniques apply to character recognition systems.

Intelligent decision support relies on techniques from a variety of disciplines, including artificial intelligence and database management systems. This book offers an explanation of how to use AI and DBMS together to achieve high-level decision making. It discusses computational intelligence as the science developed for decision support.

Presents specific projects where fusion techniques have been applied, demonstrating the techniques and cost-effective solutions for industry problems. Starting with the design of a fresh fuzzy-neural controller, this work discusses applications such as: direct frequency converters, electro-hydraulic systems, motor control, and speech recognition.

Most of the existing texts on computational and artificial intelligence, database management systems, and decision support tend to neglect the relationship between these disciplines. Computational Intelligence for Decision Support presents an integrated approach. It discusses computational intelligence as the science developed for decision support. The author explains how to use computational intelligence (for reasoning) and DBMS (for retrieval) together to attain the goal of high-level decision making. This book appeals to those from a variety of disciplines, with or without a background in decision support.