The verification and validation of fuzzy knowledge in planning systems

Authors:
Vasile Mazilescu;Daniela Sarpe;Cornelia Novac-Ududec
Affiliations:
Department of Economic Informatics, Dunarea de Jos University of Galati, Romania;Department of Economics, Dunarea de Jos University of Galati, Romania;Department of Economic Informatics, Dunarea de Jos University of Galati, Romania
Venue:
CIT'09 Proceedings of the 3rd International Conference on Communications and information technology
Year:
2009

Citing 4
Cited 0

Fuzzy sets in approximate reasoning, part 1: inference with possibility distributions

Fuzzy Sets and Systems - Special memorial volume on foundations of fuzzy reasoning
KADS: a modelling approach to knowledge engineering

Knowledge Acquisition - Special issue on the KADS approach to knowledge engineering
The relation between inference and interpolation in the framework of fuzzy systems

Fuzzy Sets and Systems
Verifying and Validating Software Requirements and Design Specifications

IEEE Software

Quantified Score

Hi-index	0.00

Visualization

Abstract

This paper argues that verification and validation (V&V) techniques are an essential part of the knowledge management process. However, an examination of known studies on the effectiveness of existing KBS V&V techniques shows that the state of knowledge in this area is very restricted. It has recently grown more and more accepted that there is a need for incorporating aspects of time and imprecision into knowledge based systems, considering appropriate semantic foundations. Problem solving can be seen as a process consisting of problem space search and knowledge search. Our expert system is a special possibilistic expert system, developed in order to focus on fuzzy knowledge.