A multi-attribute decision making method for the evaluation of software enterprise based on T-spherical fuzzy dombi aggregation information

K Ullah, Z Gul, H Garg, T Mahmood - International conference on intelligent …, 2022 - Springer
Dealing with uncertain and incomplete information is a challenging task and several fuzzy
frameworks have been established.. T-spherical fuzzy set (TSFS) is one of the freshly …

A novel T-spherical fuzzy REGIME method for managing multiple-criteria choice analysis under uncertain circumstances

TY Chen - Informatica, 2022 - content.iospress.com
The theory of T-spherical fuzzy (T-SF) sets possesses remarkable capability to manage
intricate uncertain information. The REGIME method is a well-established technique …

Performance of the multi attributed decision-making process with interval-valued spherical fuzzy Dombi aggregation operators

A Hussain, M Bari, W Javed - Journal of Innovative Research in …, 2022 - jirmcs.agasr.org
This article aims to explore the notion of interval-valued spherical fuzzy (IVSF) sets (IVSFS),
a modified version of intuitionistic and picture fuzzy sets. Furthermore, we also developed …

[HTML][HTML] Hamacher Maclaurin symmetric mean aggregation operators and WASPAS method for multiple criteria group decision making under T-spherical fuzzy …

A Thilagavathy, S Mohanaselvi - Results in Control and Optimization, 2024 - Elsevier
T-spherical fuzzy sets can accurately represent fuzzy information and effectively simulate
real-world decision making scenarios by adjusting the parameter t. The Maclaurin symmetric …

Combinative distance-based assessment method using linguistic T-spherical fuzzy aggregation operators and its application to multi-attribute group decision-making

SH Gurmani, S Zhang, FA Awwad… - Engineering Applications of …, 2024 - Elsevier
Clean energy has become a hot topic worldwide because of the continuous rise in the
climate's temperature. Reduced air pollution is only one of the many economic and …

An Improved ARAS Approach with T-Spherical Fuzzy Information and Its Application in Multi-attribute Group Decision-Making

H Wang, T Xu, L Feng, K Ullah - International Journal of Fuzzy Systems, 2024 - Springer
The additive ratio assessment system (ARAS) method is an effective technique for
simplifying complex decision problems by determining the optimal alternative through the …

T-spherical fuzzy interactive Dubois–Prade information aggregation approach for evaluating low-carbon technology impact and environmental mitigation

T Jameel, M Riaz, N Yaqoob, M Aslam - Heliyon, 2024 - cell.com
The concept of T-spherical fuzzy sets (T-SFSs) provides a robust optimization approach to
deal with uncertainties in environmental concerns. The main objective of this paper is to …

T-Spherical Fuzzy Information and Shweizer-Sklar Operations Based Maclaurin Symmetric Mean Operator and Their Applications

M Hussain, A Hussain, S Yin… - Journal of Innovative …, 2023 - jirmcs.agasr.org
T-spherical fuzzy set (TSFS) is the generalization of the fuzzy set (FS) which extracts the
information from the real-life scenario with certainty. Aside from the remarkable advantage of …

[Retracted] IF‐MABAC Method for Evaluating the Intelligent Transportation System with Intuitionistic Fuzzy Information

Y Li - Journal of Mathematics, 2021 - Wiley Online Library
Intelligent transportation system (ITS) is the development direction of the future traffic system.
ITS can effectively employ the existing traffic facilities and ensure the safety of traffic, urban …

T-Spherical fuzzy TOPSIS method based on distance measures and Hamacher Heronian mean averaging aggregation operators and its application to waste …

A Thilagavathy, S Mohanaselvi - Applied Soft Computing, 2024 - Elsevier
T-Spherical fuzzy sets provide a robust framework for handling uncertainty in real-world
decision-making. This paper addresses the construction of T-Spherical fuzzy Heronian …