[HTML][HTML] Schweizer-Sklar prioritized aggregation operators for intuitionistic fuzzy information and their application in multi-attribute decision-making
The theory of SS t-norm and t-conorm was derived by Schweizer and Sklar in 1960 by
involving a parameter Γ¯¯, which are more flexible and valuable to manage awkward and …
involving a parameter Γ¯¯, which are more flexible and valuable to manage awkward and …
On three perspectives for deriving three-way decision with linguistic intuitionistic fuzzy information
J Liu, J Mai, H Li, B Huang, Y Liu - Information Sciences, 2022 - Elsevier
The determination of both thresholds in decision-theoretic rough sets is an important
problem of study that has aroused widespread attention in recent years. Although many …
problem of study that has aroused widespread attention in recent years. Although many …
Fermatean fuzzy covering-based rough set and their applications in multi-attribute decision-making
Rough set theory (RST) is a common and effective tool for data processing. In order to
extend the range of data that RST and its related theories can handle, scholars have …
extend the range of data that RST and its related theories can handle, scholars have …
A regret theory-based three-way decision approach with three strategies
J Zhu, X Ma, J Zhan - Information Sciences, 2022 - Elsevier
Breast cancer is a malignant tumor that seriously threatens women's health. Although classic
multi-attribute decision-making (MADM) techniques can handle this kind of medical problem …
multi-attribute decision-making (MADM) techniques can handle this kind of medical problem …
Multi-attribute decision-making for T-spherical fuzzy information utilizing Schweizer-Sklar prioritized aggregation operators for recycled water
M Sarfraz - Decision Making Advances, 2024 - dma-journal.org
To handle problematic and ambiguous data, Schweizer and Sklar added a parameter p in
1960, which helped to develop the theory of SS t-norm (SSTN) and t-conorm (SSTCN). The …
1960, which helped to develop the theory of SS t-norm (SSTN) and t-conorm (SSTCN). The …
[PDF][PDF] Complex intuitionistic fuzzy soft SWARA-COPRAS approach: An application of ERP software selection
In this manuscript, we propose an integrated framework based on COmplex PRoportional
ASsessment and Step-wise Weight Assessment Ratio Analysis approach within the complex …
ASsessment and Step-wise Weight Assessment Ratio Analysis approach within the complex …
Identification and classification of multi-attribute decision-making based on complex intuitionistic fuzzy frank aggregation operators
Invented by Frank in 1979, Frank's t-norm and t-conorm operations possess improved
modifications and can be applied more generally than the existing algebraic t-norm and t …
modifications and can be applied more generally than the existing algebraic t-norm and t …
Partitioned dual Maclaurin symmetric mean operators based on picture fuzzy sets and their applications in multi-attribute decision-making problems
Abstract The partitioned Dual Maclaurin symmetric mean (PDMSM) operator has the
supremacy that can justify the interrelationship of distinct characteristics and there are a lot …
supremacy that can justify the interrelationship of distinct characteristics and there are a lot …
A circular intuitionistic fuzzy evaluation method based on distances from the average solution to support multiple criteria intelligent decisions involving uncertainty
TY Chen - Engineering Applications of Artificial Intelligence, 2023 - Elsevier
This study aims to construct an evaluation method based on distances from the average
solution (EDAS) based on circular intuitionistic fuzzy (C-IF) sets to support intelligent …
solution (EDAS) based on circular intuitionistic fuzzy (C-IF) sets to support intelligent …
A bipolar three-way decision model and its application in analyzing incomplete data
The theory of three-way decision has contributed to data science in many topics, such as
three-way classification, three-way clustering, and three-way feature selection. Most three …
three-way classification, three-way clustering, and three-way feature selection. Most three …