Transformations  in
Business & Economics

WEIGHTED INDUCED AGGREGATION EUCLIDEAN DISTANCE OPERATORS FOR THE DECISION MAKING OF ROBOT SELECTION
Jinsheng Wang, Chengdong Cao, Shouzhen Zeng, Tomas Balezentis

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.