A fast geometric defuzzication operator for large scale information retrieval

Simon Coupland, David Croft, Stephen Brown

Research output: Chapter in Book/Report/Conference proceedingConference proceeding

1 Citation (Scopus)
17 Downloads (Pure)

Abstract

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)
PublisherIEEE
Pages1143 - 1149
Number of pages7
ISBN (Electronic)978-1-4799-2072-3
ISBN (Print)978-1-4799-2073-0
DOIs
Publication statusPublished - 8 Sep 2014
Event2014 IEEE International Conference on Fuzzy Systems - Beijing, China
Duration: 6 Jul 201411 Jul 2014

Conference

Conference2014 IEEE International Conference on Fuzzy Systems
Abbreviated titleFUZZ-IEEE
CountryChina
CityBeijing
Period6/07/1411/07/14

Bibliographical note

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Keywords

  • 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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