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Intelligent systems enhance the capacities made available by the internet and other computer-based technologies. This book is devoted to various aspects of the management of intelligent systems. Particular attention is paid to situations in which the available information and data may be imprecise, uncertain, incomplete or of linguistic nature. Various methods developed to manage such information are discussed in the context of several domains of application. Topics included in the book include preference modelling and decision making, learning, clustering and data mining, information retrieval. The paradigm of computing with words is also addressed.
List of contents
Fundamental Issues in Uncertainty.- Epistemology probabilized.- Stochastic independence for upper and lower probabilities in a coherent setting.- Qualitative possibilistic independence based on plausibility relations.- Independence concepts for belief functions.- Conditional possibility and necessity.- The membership problem for probabilistic and data dependencies.- Belief functions induced by randomized communication channels.- Quantifying the correlation between two interval-valued random sets.- How information measure changes due to unreliability.- Aggregation Methods.- On the aggregation of some classes of fuzzy relations.- Ordinal sums of aggregation operators.- Aggregation principle in the theory of nonlinear PDE.- Approximation of membership functions and aggregation operators using splines.- The ordered weighted geometric operator: properties and application in MCDM problems.- On dominance and dispersion of a class of weighting lists.- Fuzzy Sets.- On the definition of coherence measure for fuzzy sets.- Characterizing k-additive fuzzy measures.- Design of Takagi-Sugeno controllers using piecewise constant functions and a normalized fuzzification transform.- Fuzzy temporal rules: A rule-based approach for fuzzy temporal knowledge representation and reasoning.- On a new method to T-transitive fuzzy relations.- Intuitionistic fuzzy relations and measures of consensus.- A soft design of acceptance sampling plans by variables.- Network Based Technologies.- On the problem of performing exact partial abductive inference in Bayesian belief networks using junction trees.- Computing probabilities of events in Bayesian networks.- Approximate Bayesian networks.- Stochastic algorithms for searching causal orderings in Bayesian networks.- SYMBIONT: A cooperative evolutionarymodel for evolving artificial neural networks for classification.- Functional equivalence between S-neural networks and fuzzy models.- Logic and Logic Based Systems.- Towards mathematical morpho-logics.- Fuzzy sets from a mathematical-naïve point of view.- On the implementation of Fril++ for object-oriented logic programming with uncertainty and fuzziness.- On some simplifications of the axiomatization of monoidal logic.- Logical measure - structure of logical formula.
Summary
Intelligent systems enhance the capacities made available by the internet and other computer-based technologies. This book is devoted to various aspects of the management of intelligent systems. Particular attention is paid to situations in which the available information and data may be imprecise, uncertain, incomplete or of linguistic nature. Various methods developed to manage such information are discussed in the context of several domains of application. Topics included in the book include preference modelling and decision making, learning, clustering and data mining, information retrieval. The paradigm of computing with words is also addressed.
