This paper explores the implications of approximating a concept based on the Bayesian
decision procedure, which provides a plausible unification of the fuzzy set and rough set …

Probabilistic arithmetic involves the calculation of the distribution of arithmetic functions of
random variables. This work on probabilistic arithmetic began as an investigation into the …

Abstract The term Soft Computing (SC) represents the combination of emerging problem-
solving technologies such as Fuzzy Logic (FL), Probabilistic Reasoning (PR), Neural …

Abstract Web Usage Mining is the application of data mining techniques to Web clickstream
data in order to extract usage patterns. As Web sites continue to grow in size and complexity …

Many-valued logics were developed as an attempt to handle philosophical doubts about
the" law of excluded middle" in classical logic. The first many-valued formal systems were …

An approach is described that utilizes fuzzy sets to develop a fuzzy qualitative simulation
algorithm that allows a semiquantitative extension to qualitative simulation, providing three …

This book provides a systematic and comprehensive description of Non-Axiomatic Logic,
which is the result of the author''s research for about three decades. Non-Axiomatic Logic is …

This book presents a research project aimed at the building of a “thinking machine,” that is, a
general-purpose artificial intelligence. Artificial intelligence has a scientific and an …

This second part of an overview of fuzzy set-based methods for approximate reasoning is
devoted to deductive approaches dealing with knowledge bases made of a collection of …

We summarize Jang's architecture of employing an adaptive network and the Kalman
filtering algorithm to identify the system parameters. Given a surface structure, the adaptively …