Title of article
Extended and innite ordered weighted averaging and sum operators with numerical examples
Author/Authors
Pu, X. College of Science - Nanjing Forestry University, Nanjing, China , Wang, Z. Development Committee - Nanjing Normal University, Nanjing, China , Mesiar, R. Faculty of Civil Engineering - Slovak University of Technology, Radlinskho 11, Czech Republic , Yager, R. R. Machine Intelligence Institute - Iona College, New Rochelle, NY 10801 , Qin, J. School of Management - Wuhan University of Technology, Wuhan, China , Feng, X. Business School - Nanjing Normal University, Nanjing, China , Jin, L. Business School - Nanjing Normal University, Nanjing, China
Pages
9
From page
33
To page
41
Abstract
This study discusses some variants of Ordered Weighted Averaging (OWA) operators and related information aggrega-
tion methods. In detail, we dene the Extended Ordered Weighted Sum (EOWS) operator and the Extended Ordered
Weighted Averaging (EOWA) operator, which are applied in scientometrics evaluation where the preference is over
nitely many representative works. As contrast, we also dene the Innite Ordered Weighted Sum (InOWS) opera-
tor and the Innite Ordered Weighted Averaging (InOWA) operator, which are more suitable for the corresponding
scientometrics evaluation where all of works of scholars are considered. We also dene the family of Innite Gaussian
maxitive OWA weights function and the family of Innite Gaussian OWA weights function, and discuss some of their
mathematical properties. Some illustrative examples, comparisons and gures are provided to better expound their
applicability in scientometrics evaluation.
Keywords
Aggregation function , decision making , evaluation , information fusion , ordered weighted averaging opera- tors
Journal title
Iranian Journal of Fuzzy Systems (IJFS)
Serial Year
2020
Record number
2526455
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