Challenging Problems and Solutions in Intelligent Systems

This volume presents recent research, challenging problems and solutions
in Intelligent Systems– covering the following disciplines: artificial and
computational intelligence, fuzzy logic and other non-classic logics,
intelligent database systems, information retrieval, information fusion,
intelligent search (engines), data mining, cluster analysis, unsupervised
learning, machine learning, intelligent data analysis, (group) decision support
systems, intelligent agents and multi-agent systems, knowledge-based systems,
imprecision and uncertainty handling, electronic commerce, distributed systems,
etc. The book defines a common ground for sometimes seemingly disparate
problems and addresses them by using the paradigm of broadly perceived intelligent
systems. It presents a broad panorama of a multitude of theoretical and
practical problems which have been successfully dealt with using the paradigm
of intelligent computing.