Work

A novel induced aggregation method for intuitionistic fuzzy set and its application in multiple attribute group decision making

Year: 2018

Type: article

Abstract: In this paper, by unifying the induced ordered weighted averaging (IOWA) and the weighted average, a novel induced aggregation method for intuitionistic fuzzy set is investigated. More specifically, a new intuitionistic fuzzy (IF) induced aggregation operator called weighted intuitionistic fuzzy IOWA weighted average (WIFIOWAWA) operator is introduced. A significant advantage of the WIFIOWAWA operator is that it can eliminate the drawback of the existing operators by the dual roles of its order-inducing variables. In addition, some of its desired properties and families are explored. Furthermore, using the proposed operator, a procedure is developed to solve multiple attribute group decision making problems in the case of IF situation. Finally, an illustrative example is provided to demonstrate the effectiveness and practicality of the developed method.

Source: International Journal of Intelligent Systems

DOI: 10.1002/int.22009

Authors: Shouzhen Zeng, Carlos Llopis-Albert, Yunhua Zhang

Institutions: Ningbo University, Universitat Politècnica de València

Language: English

Topic: Multi-Criteria Decision Making

Subfield: Management Science and Operations Research

Field: Decision Sciences

Domain: Social Sciences

Open Access status: bronze