Over the past years, methods for the automated induction of models and the extraction of
interesting patterns from empirical data have attracted considerable attention in the fuzzy set …

The present paper surveys the application of soft computing (SC) techniques in engineering
design. Within this context, fuzzy logic (FL), genetic algorithms (GA) and artificial neural …

This chapter provides an overview of possibility theory, emphasizing its historical roots and
its recent developments. Possibility theory lies at the crossroads between fuzzy sets …

This paper describes the design of experimental procedures for determining whether or not
a sequential switching circuit is operating in accordance with a given state-table description …

We propose a rough-fuzzy hybridization scheme for case generation. Fuzzy set theory is
used for linguistic representation of patterns, thereby producing a fuzzy granulation of the …

Case-based reasoning (CBR) has received a great deal of attention in recent years and has
established itself as a core methodology in the field of artificial intelligence. The key idea of …

Machine learning, data mining, and several related research areas are concerned with
methods for the automated induction of models and the extraction of interesting patterns …

The control and prediction of wastewater treatment plants poses an important goal: to avoid
breaking the environmental balance by always kee** the system in stable operating …

Negotiation is a decentralized decision-making process that seeks to find an agreement that
will satisfy the requirements of two or more parties in the presence of limited common …

This chapter contains an overview of Case-Based Reasoning (CBR). The main goal is to
have a balance between brevity and expressiveness and to provide helpful pointers to …