Uncertainty Management and Informational Relevance

Authors:
Mohamed Chachoua;Daniel Pacholczyk
Affiliations:
-;-
Venue:
IEA/AIE '02 Proceedings of the 15th international conference on Industrial and engineering applications of artificial intelligence and expert systems: developments in applied artificial intelligence
Year:
2002

Citing 5
Cited 0

Relevance: communication and cognition

Relevance: communication and cognition
Fuzzy sets, uncertainty, and information

Fuzzy sets, uncertainty, and information
A Symbolic Approach To Uncertainty Management

Applied Intelligence
Qualitative reasoning under ignorance and information-relevant extraction

Knowledge and Information Systems
Qualitative Reasoning under Uncertainty

Proceedings of the Eleventh International Florida Artificial Intelligence Research Society Conference

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Abstract

This paper is devoted to the informational relevance notion in qualitative reasoning under uncertainty. We study the uncertainty and the relevance notions and we present a symbolic approach to deal with uncertainty. This approach enables us to represent the uncertainty in ignorance form, as in common-sense reasoning, by using linguistic expressions.