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Conservation of Relative Fuzziness: Retrospective and Triangular Extension

Gedeon, Tamas (Tom)


Fuzzy rule interpolation is one of the tools for reducing computational complexity of fuzzy systems, and can be used when there are gaps in the knowledge base. These gaps can be natural, due to cost, or due to rule base reduction. The fuzzy interpolation methods are all descendent techniques of Kóczy and Hirota's linear interpolation. In this paper we provide a retrospective on the development of these techniques, and then focus on an early technique of conservation of fuzziness which has...[Show more]

CollectionsANU Research Publications
Date published: 2015
Type: Conference paper
Source: 2015 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE)
DOI: 10.1109/FUZZ-IEEE.2015.7338025


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