Computational Intelligence Processing In Medical Diagnosis

Autonomous Robotic Systems "It is a must reading for students and researchers interested in exploring the potentials of the fascinating field that will form the basis for the design of the intelligent machines of the future" (Madan M. Each contribution has been exclusively written for this volume by a leading researcher.This book contains an edited collection of eighteen contributions on soft and hard computing techniques and their applications to autonomous robotic systems.

Textiles and computing have long been associated.

It is expected that the use of soft computing will increase greatly in industrial applications, because the conceptual structure of hard computing is much too precise in relation to the great imprecision of the world around us. Soft Computing in Industrial Electronics.

Another methodology which has high relevance to data mining and plays a central role in this volume is that of rough set theory. However, its applications to data mining have predated that of granular computing. Basically, rough set theory may be viewed as a branch of granular computing. During the past few years, data mining has grown rapidly in visibility and importance within information processing and decision analysis.

Each discipline has proposed methods for quantifying similarity judgments suitable for its particular applications.. Examples of the application of similarity measures in various areas including expert systems, information retrieval, and intelligent database systems are provided.Similarity and Compatibility in Fuzzy Set Theory This book presents a unified approach to quantifying similarity and compatibility within the framework of fuzzy set theory and examines the primary importance of these concepts in approximate reasoning.

It provides a bridge between symbolic and numeric approaches, retaining the advantages of both and overcoming some of their disadvantages. In addition, computational modelling of uncertain reasoning is a key to understanding human rationality. It is a prerequisite of the smart technology needed to help humans cope with the information explosion of the modern world.

Belief Functions in Business Decisions Included are discussions on how a belief-function framework provides a more efficient and effective audit methodology and also the appropriateness of belief functions to represent uncertainties in audit evidence.

This volume presents advanced applications of machine intelligence in medicine and bio-medical engineering.

Three different interpretations (the marginally correct approximation, the qualitative model, and the quantitative model) of belief functions are investigated, and rough set theory and structured query language (SQL) are used to express belief function semantics.

Computational intelligence techniques are gaining momentum in the medical prognosis and diagnosis.Applied methods include knowledge bases, expert systems, neural networks, neuro-fuzzy systems, evolvable systems, wavelet transforms, and specific internet applications.