Show simple item record Shen, Qiang Yang, Longzhi 2011-09-26T10:04:25Z 2011-09-26T10:04:25Z 2011-09-26
dc.identifier.citation Shen , Q & Yang , L 2011 , ' Adaptive Fuzzy Interpolation with Uncertain Observations and Rule Base ' pp. 471-478 . en
dc.identifier.other PURE: 180195
dc.identifier.other dspace: 2160/7589
dc.description L. Yang and Q. Shen, Adaptive fuzzy interpolation with uncertain observations and rule base, Proceedings of the 20th International Conference on Fuzzy Systems (FUZZ-IEEE 2011), pp.471-478, 2011. en
dc.description.abstract Adaptive fuzzy interpolation strengthens the potential of fuzzy interpolative reasoning. It views interpolation procedures as artificially created system components, and identifies all possible sets of faulty components that may each have led to all detected contradictory results. From this, a modification procedure takes place, which tries to modify each of such components, termed candidates, in an effort to remove all the contradictions and thus restore consistency. This approach assumes that the employed interpolation mechanism is the only cause of contradictions, that is all given observations and rules are believed to be true and fixed. However, this may not be the case in certain real situations. It is common in fuzzy systems that each observation or rule is associated with a certainty degree. This paper extends the adaptive approach by taking into consideration both observations and rules also, treating them as diagnosable and modifiable components in addition to interpolation procedures. Accordingly, the modification procedure is extended to cover the cases of modifying observations or rules in a given rule base along with the modification of fuzzy reasoning components. This extension significantly improves the robustness of the existing adaptive approach. en
dc.format.extent 8 en
dc.language.iso eng
dc.relation.ispartof en
dc.title Adaptive Fuzzy Interpolation with Uncertain Observations and Rule Base en
dc.type Text en
dc.type.publicationtype Conference paper en
dc.contributor.institution Department of Computer Science en
dc.description.status Non peer reviewed en

Files in this item

Aside from theses and in the absence of a specific licence document on an item page, all works in Cadair are accessible under the CC BY-NC-ND Licence. AU theses and dissertations held on Cadair are made available for the purposes of private study and non-commercial research and brief extracts may be reproduced under fair dealing for the purpose of criticism or review. If you have any queries in relation to the re-use of material on Cadair, contact

This item appears in the following Collection(s)

Show simple item record

Search Cadair

Advanced Search