caa a22 4500 605468338 CHVBK 20210128100316.0 cr unu---uuuuu 210128e20150101xx s 000 0 eng 10.1007/s00500-014-1246-4 doi (NATIONALLICENCE)springer-10.1007/s00500-014-1246-4 Interval type-2 fuzzy sets to model linguistic label perception in online services satisfaction [Elektronische Daten] [Masoomeh Moharrer, Hooman Tahayori, Lorenzo Livi, Alireza Sadeghian, Antonello Rizzi] In this paper, we propose a novel two-phase methodology based on interval type-2 fuzzy sets (T2FSs) to model the human perceptions of the linguistic terms used to describe the online services satisfaction. In the first phase, a type-1 fuzzy set (T1FS) model of an individual's perception of the terms used in rating user satisfaction is derived through a decomposition-based procedure. The analysis is carried out by using well-established metrics and results from the Social Sciences context. In the second phase, interval T2FS models of online user satisfaction are calculated using a similarity-based data mining procedure. The procedure selects an essential and informative subset of the initial T1FSs that is used to discard the outliers automatically. Resulting interval T2FSs, which are synthesized based on the selected subset of T1FSs only, exhibit reasonable shapes and interpretability. Springer-Verlag Berlin Heidelberg, 2014 Interval type-2 fuzzy sets nationallicence Human perception nationallicence Soft computing nationallicence Knowledge discovery nationallicence Similarity and dissimilarity measures nationallicence Moharrer Masoomeh Department of Computer Science, Ryerson University, 350 Victoria Street, M5B 2K3, Toronto, ON, Canada aut Tahayori Hooman Department of Computer Science, Ryerson University, 350 Victoria Street, M5B 2K3, Toronto, ON, Canada aut Livi Lorenzo Department of Information Engineering, Electronics, and Telecommunications, Sapienza University of Rome, Via Eudossiana 18, 00184, Rome, Italy aut Sadeghian Alireza Department of Computer Science, Ryerson University, 350 Victoria Street, M5B 2K3, Toronto, ON, Canada aut Rizzi Antonello Department of Information Engineering, Electronics, and Telecommunications, Sapienza University of Rome, Via Eudossiana 18, 00184, Rome, Italy aut Soft Computing Springer Berlin Heidelberg 19/1(2015-01-01), 237-250 1432-7643 19:1<237 2015 19 500 https://doi.org/10.1007/s00500-014-1246-4 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/s00500-014-1246-4 text/html Onlinezugriff via DOI NATIONALLICENCE 700 1- Moharrer Masoomeh Department of Computer Science, Ryerson University, 350 Victoria Street, M5B 2K3, Toronto, ON, Canada aut NATIONALLICENCE 700 1- Tahayori Hooman Department of Computer Science, Ryerson University, 350 Victoria Street, M5B 2K3, Toronto, ON, Canada aut NATIONALLICENCE 700 1- Livi Lorenzo Department of Information Engineering, Electronics, and Telecommunications, Sapienza University of Rome, Via Eudossiana 18, 00184, Rome, Italy aut NATIONALLICENCE 700 1- Sadeghian Alireza Department of Computer Science, Ryerson University, 350 Victoria Street, M5B 2K3, Toronto, ON, Canada aut NATIONALLICENCE 700 1- Rizzi Antonello Department of Information Engineering, Electronics, and Telecommunications, Sapienza University of Rome, Via Eudossiana 18, 00184, Rome, Italy aut NATIONALLICENCE 773 0- Soft Computing Springer Berlin Heidelberg 19/1(2015-01-01), 237-250 1432-7643 19:1<237 2015 19 500