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)
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: | https://umpir.ump.edu.my/id/eprint/29767 |
| Statistic Details: | View Download Statistic |

