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 language | English |
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Title of host publication | 2014 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE) |
Publisher | IEEE |
Pages | 1143 - 1149 |
Number of pages | 7 |
ISBN (Electronic) | 978-1-4799-2072-3 |
ISBN (Print) | 978-1-4799-2073-0 |
DOIs | |
Publication status | Published - 8 Sept 2014 |
Event | 2014 IEEE International Conference on Fuzzy Systems - Beijing, China Duration: 6 Jul 2014 → 11 Jul 2014 |
Conference
Conference | 2014 IEEE International Conference on Fuzzy Systems |
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Abbreviated title | FUZZ-IEEE |
Country/Territory | China |
City | Beijing |
Period | 6/07/14 → 11/07/14 |
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