A generalized triangular intuitionistic fuzzy geometric averaging operator for decision-making in engineering and management

Aikhuele, Daniel O. and Odofin, S. M. (2017) A generalized triangular intuitionistic fuzzy geometric averaging operator for decision-making in engineering and management. Information (Switzerland), 8 (3). ISSN 2078-2489. (Published)

[img]
Preview
Pdf (Open access)
A generalized triangular intuitionistic fuzzy geometric averaging operator.pdf
Available under License Creative Commons Attribution.

Download (1MB) | Preview

Abstract

Triangular intuitionistic fuzzy number (TIFN) is a more generalized platform for expressing imprecise, incomplete, and inconsistent information when solving multi-criteria decision-making problems, as well as for expressing and reflecting the evaluation information in several dimensions. In this paper, the TIFN has been applied for solving multi-criteria decision-making (MCDM) problems, first, by defining some existing triangular intuitionistic fuzzy geometric aggregation operators, and then developing a new triangular intuitionistic fuzzy geometric aggregation operator, which is the generalized triangular intuitionistic fuzzy ordered weighted geometric averaging (GTIFOWGA) operator. Based on these operators, a new approach for solving multicriteria decision-making problems when the weight information is fixed is proposed. Finally, a numerical example is provided to show the applicability and rationality of the presented method, followed by a comparative analysis using similar existing computational approaches.

Item Type: Article
Additional Information: Indexed by Scopus
Uncontrolled Keywords: Generalized triangular intuitionistic fuzzy geometric aggregation operator; Triangular; intuitionistic fuzzy number; Intuitionistic fuzzy set; Multi-criteria decision-making; Attitudinal character; Flexibility
Subjects: T Technology > TA Engineering (General). Civil engineering (General)
T Technology > TS Manufactures
Faculty/Division: Faculty of Manufacturing Engineering
Institute of Postgraduate Studies
Depositing User: Mrs Norsaini Abdul Samat
Date Deposited: 10 Nov 2022 01:44
Last Modified: 10 Nov 2022 01:44
URI: http://umpir.ump.edu.my/id/eprint/29767
Download Statistic: View Download Statistics

Actions (login required)

View Item View Item