Affiliations: [a] Development Committee, Nanjing Normal University, Nanjing, China
| [b]
Business School, Nanjing Normal University, Nanjing, China
| [c]
Machine Intelligence Institute, Iona College, New Rochelle, NY, USA
| [d] Faculty of Civil Engineering, Slovak University of Technology, Radlinského 11, Sk-810 05 Bratislava, Slovakia
| [e]
Palacky Univ. Olomouc, Faculty of Science, Department of Algebra and Geometry, 17 Listopadu 12, Olomouc 77146, Czech Republic
| [f] Faculty of Economics, Matej Bel University, Tajovského 10, Sk-975 90 Banská Bystrica, Slovakia
| [g]
Department of Mathematics, Dibrugarh University, Dibrugarh, Assam, India
Correspondence:
[*]
Corresponding author. LeSheng Jin, Business School, Nanjing Normal University, Nanjing, China. E-mail: 22028@njnu.edu.cn.
Note: [1] The authors acknowledge support from APVV-14-0013, VEGA/1/0420/15, VEGA/2/0069/16 and UKIERI/184-15/2017 (IC).
Abstract: We study the Yager OWS aggregation and the Irregular normalized Yager OWA aggregation under infinite environment. Two evaluation problems are proposed to motivate their applications. Few distinguishing properties are discussed. We show that such aggregations use the same type of weights, infinite weights (sequence), to embody the involved preferences. Their respective applications in the fields of Scientometrics and Gradual Confidence Aggregation are proposed and analyzed.
