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Mokslo publikacijos
2019-03-26

Weighted Induced Aggregation Euclidean Distance Operators for the Decision Making of Robot Selection

Abstract

This paper investigates a novel induced aggregation Euclidean distance operator and its application in intuitionistic fuzzy multi-attribute group decision making (MAGDM) problem concerning the robot selection. First, this study extends the roles of order-inducing variables by introducing a weighted induced Euclidean ordered weighted averaging distance (WIEOWAD) operator. The main properties and different families of this operator are also discussed. Then, an extension of the WIEOWAD within the intuitionistic fuzzy situation is presented for obtaining the intuitionistic fuzzy WIEOWAD (IFWIEOWAD) operator. Furthermore, a MAGDM method based on the IFWIEOWAD operator is presented. Finally, an example of the selection of a suitable robot is given to illustrate the practicality and effectiveness of the proposed method .


Keywords:  intuitionistic fuzzy set, weighted induced aggregation, Euclidean distance, MAGDM, robot selection.


JEL classification:  C63, L64, F41, M11.

 

Weighted Induced Aggregation Euclidean Distance Operators for the Decision Making of Robot Selection

 

Wang, J., Cao, Ch., Zeng, Sh., Balezentis, T. 2019. Weighted Induced Aggregation Euclidean Distance Operators for the Decision Making of Robot Selection. In Transformations in Business & Economics. Vol. 18, No 1 (46), p. 81-94; ISSN 1648-4460; [ISI Web of Science (& Master Journal List) by Thomson Services (2006, back-cited from 2005); Social Sciences Citation Index (2006); Social SciSearch (2006); Journal Citation Reports / Social Sciences Edition (2006); EBSCO (EconLit with Full Text) (2007); IBSS (2004); EconLit (2005); e-JEL (2005); JEL on CD (2005); SCOPUS (2007); Cabell’s Directory (2008)].

 

 

 




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