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02-12-2019 | Original Paper

Intuitionistic fuzzy Dombi aggregation operators and their application to multiple attribute decision-making

Authors: Mijanur Rahaman Seikh, Utpal Mandal

Published in: Granular Computing | Issue 3/2021

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Abstract

The purpose of this paper is to introduce the concepts of Dombi t-norm and Dombi t-conorm to aggregate intuitionistic fuzzy information. First, we have proposed some new operational laws of intuitionistic fuzzy numbers (IFNs) based on Dombi t-norm and t-conorm. Furthermore, based on these operational laws, we have introduced intuitionistic fuzzy Dombi weighted averaging (IFDWA) operator, intuitionistic fuzzy Dombi order weighted averaging (IFDOWA) operator, intuitionistic fuzzy Dombi hybrid averaging (IFDHA) operator, intuitionistic fuzzy Dombi weighted geometric (IFDWG) operator, intuitionistic fuzzy Dombi order weighted geometric (IFDOWG) operator, and intuitionistic fuzzy Dombi hybrid geometric (IFDHG) operator. Moreover, some suitable properties of these operators are also discussed. Then, utilizing these proposed operators, we have presented an algorithm to solve multiattribute decision-making (MADM) problems under an intuitionistic fuzzy environment. Finally, we have utilized a numerical example to compare the flexibility of the proposed method with the other existing methods.

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Title: Intuitionistic fuzzy Dombi aggregation operators and their application to multiple attribute decision-making
Authors: Mijanur Rahaman Seikh
Utpal Mandal
Publication date: 02-12-2019
Publisher: Springer International Publishing
Published in: Granular Computing / Issue 3/2021
Print ISSN: 2364-4966
Electronic ISSN: 2364-4974
DOI: https://doi.org/10.1007/s41066-019-00209-y

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