Bayesian networks are formal graphical languages for representation and communication of decision scenarios requiring reasoning under uncertainty. We will analyze Bayesian network...
A Sugeno and a Choquet integrals are commonly used fuzzy integrals for aggregation. As a generalization of both integrals, the twofold integral is induced. The twofold integral en...
Gambal is an information retrieval system for indexing and accessing web pages that includes graphical interfaces to ease web page search and accessing. In particular, the interfa...
This paper deals with a problem of multicriteria selection assuming uncertainties including linguistic modifiers both in given data and in queries referring to these data. An app...
A general formulation of the single machine scheduling problem with fuzzy parameters is proposed. Such notions as schedule, cost function and precedence relation are defined. The...
We are trying to piece together the knowledge of evolution with the help of biology, informatics and physics to create complex evolutionary algorithms with parallel and hierarchic...
This paper proposes a method for Bayesian networks that handles uncertainty and discretization of continuous variables when learning the networks from a database of cases. The dat...
In this paper, intelligent perception-based systems are proposed in application to medical diagnosis problems. The systems are created by use of connectionist neurofuzzy architect...