[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 …
A survey on bug deduplication and triage methods from multiple points of view
C Qian, M Zhang, Y Nie, S Lu, H Cao - Applied Sciences, 2023 - mdpi.com
To address the issue of insufficient testing caused by the continuous reduction of software
development cycles, many organizations maintain bug repositories and bug tracking …
development cycles, many organizations maintain bug repositories and bug tracking …
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 …
An intuitionistic fuzzy representation based software bug severity prediction approach for imbalanced severity classes
RR Panda, NK Nagwani - Engineering Applications of Artificial Intelligence, 2023 - Elsevier
In order to improve software reliability and quality, the triager must assess the severity of the
software bug and allocate suitable resources on time. However, the triager faces many …
software bug and allocate suitable resources on time. However, the triager faces many …
TOPSIS method based on hamacher choquet-integral aggregation operators for atanassov-intuitionistic fuzzy sets and their applications in decision-making
The collection of Hamacher t-norms was created by Hamacher in 1970, which played a
critical and significant role in computing aggregation operators. All aggregation operators …
critical and significant role in computing aggregation operators. All aggregation operators …
Power aggregation operators of interval-valued Atanassov-intuitionistic fuzzy sets based on Aczel–Alsina t-norm and t-conorm and their applications in decision …
Aczel–Alsina t-norm and t-conorm are important t-norm and t-conorm, and they are extended
from algebraic t-norm and t-conorm. Obviously, Aczel–Alsina t-norm and t-conorm are more …
from algebraic t-norm and t-conorm. Obviously, Aczel–Alsina t-norm and t-conorm are more …
[HTML][HTML] Prioritized aggregation operators based on Schweizer-Sklar t-norm for linear Diophantine fuzzy sets and their application in green sustainable chain
H Garg, X Liu, W Emam - Alexandria Engineering Journal, 2023 - Elsevier
Schweizer and Sklar invented the idea of the Schweizer-Sklar t-norm and Schweizer-Sklar t-
conorm in 1960. Additionally, prioritized aggregation operators were derived by Yager in …
conorm in 1960. Additionally, prioritized aggregation operators were derived by Yager in …
Software bug priority prediction technique based on intuitionistic fuzzy representation and class imbalance learning
RR Panda, NK Nagwani - Knowledge and Information Systems, 2024 - Springer
In modern times, the software industry is more focused on the timely release of high-quality
software. Software bugs have a significant impact on software quality and reliability. To …
software. Software bugs have a significant impact on software quality and reliability. To …
Software bug severity and priority prediction using SMOTE and intuitionistic fuzzy similarity measure
RR Panda, NK Nagwani - Applied Soft Computing, 2024 - Elsevier
A software bug tracking system receives several bug reports in a rapid manner during the
maintenance of software. In order to fix the important and urgent bugs, the triager has to …
maintenance of software. In order to fix the important and urgent bugs, the triager has to …
[HTML][HTML] Ipsfs: intuitionistic, pythagorean, and spherical fuzzy similarity computation package in r
RR Panda, NK Nagwani - Software Impacts, 2022 - Elsevier
Finding similarities between objects is an important task in various fields of research.
Advanced fuzzy logic-based similarity techniques are widely used in the literature for …
Advanced fuzzy logic-based similarity techniques are widely used in the literature for …