From data to granular data and granular classifiers

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

نتاج البحث: Conference contribution

7 اقتباسات (Scopus)


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.

اللغة الأصليةEnglish
عنوان منشور المضيفProceedings of the 2014 IEEE International Conference on Fuzzy Systems, FUZZ-IEEE
ناشرInstitute of Electrical and Electronics Engineers Inc.
عدد الصفحات7
رقم المعيار الدولي للكتب (الإلكتروني)9781479920723
المعرِّفات الرقمية للأشياء
حالة النشرPublished - سبتمبر 4 2014
الحدث2014 IEEE International Conference on Fuzzy Systems, FUZZ-IEEE 2014 - Beijing, China
المدة: يوليو ٦ ٢٠١٤يوليو ١١ ٢٠١٤

سلسلة المنشورات

الاسمIEEE International Conference on Fuzzy Systems
رقم المعيار الدولي للدوريات (المطبوع)1098-7584


Conference2014 IEEE International Conference on Fuzzy Systems, FUZZ-IEEE 2014

ASJC Scopus subject areas

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