A fast geometric defuzzication operator for large scale information retrieval

Simon Coupland, David Croft, Stephen Brown

    Research output: Chapter in Book/Report/Conference proceedingConference proceedingpeer-review

    3 Citations (Scopus)
    52 Downloads (Pure)


    In this paper we explore the centroid defuzzification operation in the context of specific data retrieval application. We present a novel implication and centroid defuzzification approach based on geometric fuzzy sets and systems. It is demonstrated that this new approach requires fewer operations and results in a significant reduction in processing time in our application.
    Original languageEnglish
    Title of host publication2014 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE)
    Pages1143 - 1149
    Number of pages7
    ISBN (Electronic)978-1-4799-2072-3
    ISBN (Print)978-1-4799-2073-0
    Publication statusPublished - 8 Sept 2014
    Event2014 IEEE International Conference on Fuzzy Systems - Beijing, China
    Duration: 6 Jul 201411 Jul 2014


    Conference2014 IEEE International Conference on Fuzzy Systems
    Abbreviated titleFUZZ-IEEE

    Bibliographical note

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    • fuzzy set theory
    • geometry
    • information retrieval
    • centroid defuzzication operation
    • data retrieval application
    • fast geometric defuzzication operator
    • geometric fuzzy sets
    • large scale information retrieval
    • Computational efficiency
    • Equations
    • Fuzzy sets
    • Fuzzy systems
    • MATLAB
    • Mathematical model
    • Shape


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