Technologies for Constructing Intelligent Systems 2

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 evolutionary model 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.