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)
11 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

Fingerprint

Information retrieval
Fuzzy systems
Fuzzy sets
Processing

Bibliographical note

© 2014 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.

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

Cite this

Coupland, S., Croft, D., & Brown, S. (2014). A fast geometric defuzzication operator for large scale information retrieval. In 2014 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE) (pp. 1143 - 1149). IEEE. https://doi.org/10.1109/FUZZ-IEEE.2014.6891581

A fast geometric defuzzication operator for large scale information retrieval. / Coupland, Simon; Croft, David; Brown, Stephen.

2014 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE). IEEE, 2014. p. 1143 - 1149.

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

Coupland, S, Croft, D & Brown, S 2014, A fast geometric defuzzication operator for large scale information retrieval. in 2014 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE). IEEE, pp. 1143 - 1149, 2014 IEEE International Conference on Fuzzy Systems, Beijing, China, 6/07/14. https://doi.org/10.1109/FUZZ-IEEE.2014.6891581
Coupland S, Croft D, Brown S. A fast geometric defuzzication operator for large scale information retrieval. In 2014 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE). IEEE. 2014. p. 1143 - 1149 https://doi.org/10.1109/FUZZ-IEEE.2014.6891581
Coupland, Simon ; Croft, David ; Brown, Stephen. / A fast geometric defuzzication operator for large scale information retrieval. 2014 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE). IEEE, 2014. pp. 1143 - 1149
@inproceedings{11ffcdbeb7ae4c7e8074cff9498eae98,
title = "A fast geometric defuzzication operator for large scale information retrieval",
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.",
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",
author = "Simon Coupland and David Croft and Stephen Brown",
note = "{\circledC} 2014 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.",
year = "2014",
month = "9",
day = "8",
doi = "10.1109/FUZZ-IEEE.2014.6891581",
language = "English",
isbn = "978-1-4799-2073-0",
pages = "1143 -- 1149",
booktitle = "2014 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE)",
publisher = "IEEE",

}

TY - GEN

T1 - A fast geometric defuzzication operator for large scale information retrieval

AU - Coupland, Simon

AU - Croft, David

AU - Brown, Stephen

N1 - © 2014 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.

PY - 2014/9/8

Y1 - 2014/9/8

N2 - 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.

AB - 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.

KW - fuzzy set theory

KW - geometry

KW - information retrieval

KW - centroid defuzzication operation

KW - data retrieval application

KW - fast geometric defuzzication operator

KW - geometric fuzzy sets

KW - large scale information retrieval

KW - Computational efficiency

KW - Equations

KW - Fuzzy sets

KW - Fuzzy systems

KW - MATLAB

KW - Mathematical model

KW - Shape

U2 - 10.1109/FUZZ-IEEE.2014.6891581

DO - 10.1109/FUZZ-IEEE.2014.6891581

M3 - Conference proceeding

SN - 978-1-4799-2073-0

SP - 1143

EP - 1149

BT - 2014 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE)

PB - IEEE

ER -