caa a22 4500 605470073 CHVBK 20210128100325.0 cr unu---uuuuu 210128e20150401xx s 000 0 eng 10.1007/s00500-014-1311-z doi (NATIONALLICENCE)springer-10.1007/s00500-014-1311-z Description and classification of granular time series [Elektronische Daten] [Rami Al-Hmouz, Witold Pedrycz, Abdullah Balamash, Ali Morfeq] The study is concerned with a concept and a design of granular time series and granular classifiers. In contrast to the plethora of various models of time series, which are predominantly numeric, we propose to effectively exploit the idea of information granules in the description and classification of time series. The numeric (optimization-oriented) and interpretation abilities of granular time series and their classifiers are highlighted and quantified. A general topology of the granular classifier involving a formation of a granular feature space and the usage of the framework of relational structures (relational equations) in the realization of the classifiers is presented. A detailed design process is elaborated on along with a discussion of the pertinent optimization mechanisms. A series of experiments is covered leading to a quantitative assessment of the granular classifiers and their parametric analysis. Springer-Verlag Berlin Heidelberg, 2014 Classification rules nationallicence Fuzzy clustering nationallicence Time series nationallicence Fuzzy relational equation nationallicence Granular classifier nationallicence Human-centricity nationallicence Information granules nationallicence Interpretability nationallicence Al-Hmouz Rami Electrical and Computer Engineering Department, King Abdulaziz University, Jeddah, Saudi Arabia aut Pedrycz Witold Electrical and Computer Engineering Department, King Abdulaziz University, Jeddah, Saudi Arabia aut Balamash Abdullah Electrical and Computer Engineering Department, King Abdulaziz University, Jeddah, Saudi Arabia aut Morfeq Ali Electrical and Computer Engineering Department, King Abdulaziz University, Jeddah, Saudi Arabia aut Soft Computing Springer Berlin Heidelberg 19/4(2015-04-01), 1003-1017 1432-7643 19:4<1003 2015 19 500 https://doi.org/10.1007/s00500-014-1311-z text/html Onlinezugriff via DOI BK010053 XK010053 XK010000 Metadata rights reserved Springer special CC-BY-NC licence nationallicence 1 research-article jats NATIONALLICENCE NATIONALLICENCE NL-springer NATIONALLICENCE 856 40 https://doi.org/10.1007/s00500-014-1311-z text/html Onlinezugriff via DOI NATIONALLICENCE 700 1- Al-Hmouz Rami Electrical and Computer Engineering Department, King Abdulaziz University, Jeddah, Saudi Arabia aut NATIONALLICENCE 700 1- Pedrycz Witold Electrical and Computer Engineering Department, King Abdulaziz University, Jeddah, Saudi Arabia aut NATIONALLICENCE 700 1- Balamash Abdullah Electrical and Computer Engineering Department, King Abdulaziz University, Jeddah, Saudi Arabia aut NATIONALLICENCE 700 1- Morfeq Ali Electrical and Computer Engineering Department, King Abdulaziz University, Jeddah, Saudi Arabia aut NATIONALLICENCE 773 0- Soft Computing Springer Berlin Heidelberg 19/4(2015-04-01), 1003-1017 1432-7643 19:4<1003 2015 19 500