Ordered Weighted Sum in infinite sequences environment with applications

被引：5

作者：

Wang, Zhen ^{[1
]}

Jin, LeSheng ^{[2
]}

Yager, Ronald R. ^{[3
]}

Mesiar, Radko ^{[4
,5
]}

Kalina, Martin ^{[4
]}

Spirkova, Jana ^{[6
]}

Borkotokey, Surajit ^{[7
]}

机构：

[1] Nanjing Normal Univ, Dev Comm, Nanjing, Jiangsu, Peoples R China

[2] Nanjing Normal Univ, Business Sch, Nanjing, Jiangsu, Peoples R China

[3] Iona Coll, Inst Machine Intelligence, New Rochelle, NY 10801 USA

[4] Slovak Univ Technol Bratislava, Fac Civil Engn, Radlinskeho 11, SK-81005 Bratislava, Slovakia

[5] Palacky Univ Olomouc, Fac Sci, Dept Algebra & Geometry, 17 Listopadu 12, Olomouc 77146, Czech Republic

[6] Matej Bel Univ, Fac Econ, Tajovskeho 10, SK-97590 Banska Bystrica, Slovakia

[7] Dibrugarh Univ, Dept Math, Dibrugarh, Assam, India

来源：

JOURNAL OF INTELLIGENT & FUZZY SYSTEMS | 2019年 / 36卷 / 03期

关键词：

Aggregation function; Decision making; evaluation; Infinite Ordered Weighted Sum; OWA operators; OWA; AGGREGATION; OPERATORS;

D O I：

10.3233/JIFS-181291

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

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.

引用

页码：2787 / 2792

页数：6

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