From data to granular data and granular classifiers

Rami Al-Hmouz; Witold Pedrycz; Abdullah Balamash; Ali Morfeq

doi:10.1109/FUZZ-IEEE.2014.6891592

From data to granular data and granular classifiers

Rami Al-Hmouz, Witold Pedrycz, Abdullah Balamash, Ali Morfeq

Electrical and Computer Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

7 Citations (Scopus)

Abstract

Information granules emerging as a result of an abstract and more condensed and global view at numeric data play an essential role in various pattern recognition pursuits. In this study, we investigate an idea of granular prototypes (representatives) and discuss their role in the realization of classification schemes. A two-stage procedure of a formation of information granules is discussed. We show how the commonly used clustering methods are viewed as a prerequisite for the construction of granular prototypes. In this regard, a certain version of the principle of justifiable granularity is investigated. In the sequel, a characterization of information granules expressed in terms of their information (classification) content is provided and its usage in the realization of a classifier is studied. Experimental studies involving both synthetic and publicly available data are reported.

Original language	English
Title of host publication	Proceedings of the 2014 IEEE International Conference on Fuzzy Systems, FUZZ-IEEE
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	432-438
Number of pages	7
ISBN (Electronic)	9781479920723
DOIs	https://doi.org/10.1109/FUZZ-IEEE.2014.6891592
Publication status	Published - Sept 4 2014
Event	2014 IEEE International Conference on Fuzzy Systems, FUZZ-IEEE 2014 - Beijing, China Duration: Jul 6 2014 → Jul 11 2014

Publication series

Name	IEEE International Conference on Fuzzy Systems
ISSN (Print)	1098-7584

Conference

Conference	2014 IEEE International Conference on Fuzzy Systems, FUZZ-IEEE 2014
Country/Territory	China
City	Beijing
Period	7/6/14 → 7/11/14

Keywords

clustering
Fuzzy C-Means
Granular Computing
information granules
pattern classification
principle of justifiable granularity

ASJC Scopus subject areas

Software
Theoretical Computer Science
Artificial Intelligence
Applied Mathematics

Access to Document

10.1109/FUZZ-IEEE.2014.6891592

Cite this

Al-Hmouz, R., Pedrycz, W., Balamash, A., & Morfeq, A. (2014). From data to granular data and granular classifiers. In Proceedings of the 2014 IEEE International Conference on Fuzzy Systems, FUZZ-IEEE (pp. 432-438). Article 6891592 (IEEE International Conference on Fuzzy Systems). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/FUZZ-IEEE.2014.6891592

From data to granular data and granular classifiers. / Al-Hmouz, Rami; Pedrycz, Witold; Balamash, Abdullah et al.
Proceedings of the 2014 IEEE International Conference on Fuzzy Systems, FUZZ-IEEE. Institute of Electrical and Electronics Engineers Inc., 2014. p. 432-438 6891592 (IEEE International Conference on Fuzzy Systems).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Al-Hmouz, R, Pedrycz, W, Balamash, A & Morfeq, A 2014, From data to granular data and granular classifiers. in Proceedings of the 2014 IEEE International Conference on Fuzzy Systems, FUZZ-IEEE., 6891592, IEEE International Conference on Fuzzy Systems, Institute of Electrical and Electronics Engineers Inc., pp. 432-438, 2014 IEEE International Conference on Fuzzy Systems, FUZZ-IEEE 2014, Beijing, China, 7/6/14. https://doi.org/10.1109/FUZZ-IEEE.2014.6891592

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From data to granular data and granular classifiers

Abstract

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Keywords

ASJC Scopus subject areas

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