Handbook of Knowledge Representation describes the essential foundations of Knowledge
Representation, which lies at the core of Artificial Intelligence (AI). The book provides an up …

sections dealing with fuzzy functions and fuzzy random functions are certain to be of special
interest. The reader is expected to be in command of the knowledge gained in a basic …

Co** with uncertainty in dynamical systems has recently received some attention in
artificial intelligence (AI), particularly in the fields of qualitative and model-based reasoning …

In this paper new concepts and developments are presented for structural analysis involving
uncertain parameters. Based on a classification of the uncertainties in structural analysis the …

Publisher Summary Qualitative modeling is most commonly referred to as “qualitative
reasoning”(QR) in literature, and it concerns representation and reasoning about the …

In this paper current developments in the FDI theory are reviewed. Attention is focused upon
the analytical approaches that make use of quantitative models, knowledge based …

This paper is concerned with systems of ordinary differential equations with fuzzy
parameters. Applying the Zadeh extension principle to the equations, we introduce the …

The imprecision and the uncertainty of many systems can be expressed with interval
models. The results of the simulation of these models can be represented by envelopes …

In the recent past, graph-based approaches have been proposed by various researchers for
safety analysis and fault diagnosis of chemical process systems. Though these approaches …

In this paper, we study analytical and numerical solutions of fuzzy differential equations
based on the extension principle. For linear fuzzy differential equations, we state some …