Skip navigation.
Home
Semantic Software Lab
Concordia University
Montréal, Canada

Fuzzy Belief Revision

Printer-friendly versionPrinter-friendly versionPDF versionPDF version
TitleFuzzy Belief Revision
Publication TypeConference Paper
Year of Publication2002
AuthorsWitte, R.
Refereed DesignationRefereed
Conference Name9th International Workshop on Non-Monotonic Reasoning (NMR 2002)
Pagination311–320
Date PublishedApril 19–21
Conference LocationToulouse, France
Keywordsfuzzy belief revision, fuzzy information systems, fuzzy object-oriented data model, soft computing
Abstract

Fuzzy sets, having been the long-standing mainstay of modeling and manipulating imperfect information, are an obvious candidate for representing uncertain beliefs.

Unfortunately, unadorned fuzzy sets are too limited to capture complex or potentially inconsistent beliefs, because all too often they reduce to absurdities ("nothing is possible") or trivialities ("everything is possible").

However, we show that by combining the syntax of propositional logic with the semantics of fuzzy sets a rich framework for expressing and manipulating uncertain beliefs can be created, admitting Gärdenfors-style expansion, revision, and contraction operators and being moreover amenable to easy integration with conventional ``crisp'' information processing.

The model presented here addresses many of the shortcomings of traditional approaches for building fuzzy data models, which will hopefully lead to a wider adoptance of fuzzy technologies for the creation of information systems.

Copyright

Copyright © 2002 by René Witte. All rights reserved.

AttachmentSize
witte_fuzzybeliefrevision.pdf131.43 KB