Results 11 to 20 of about 15,234,416 (131)

Similarity Measures Based on T-Spherical Fuzzy Information with Applications to Pattern Recognition and Decision Making

Symmetry, 2022
T-spherical fuzzy set (TSFS) is a fuzzy layout aiming to provide a larger room for the processing of uncertain information-based data where four aspects of unpredictable information are studied.
Kifayat Ullah, Miin-Shen Yang, Hanen Karamti, Dragan Pamucar, Muhammad Nabeel Abid   +4 more
core   +2 more sources

Heronian Mean Operators Based Multi-Attribute Decision Making Algorithm Using T-Spherical Fuzzy Information

Journal of Innovative Research in Mathematical and Computational Sciences, 2022
To cope with human opinion in real-life problems with the help of the truth degree (TD), abstinence degree (AD), falsity degree (FD), and refusal degree (RD), the notion of T-spherical fuzzy set (TSFS) is developed as a replacement of the picture fuzzy ...
Darko Božanić, Maria Akram, Akhtar Ali, Saba Ijaz   +3 more
core   +2 more sources

A Novel T-Spherical Fuzzy Multi-Criteria Group Decision-Making for Air Quality Index Assessment

Applied Expert Systems and Knowledge Management
In this study, we expose the fact that adequately assessing the air quality index in an atmosphere based on limited observations is essential for meeting environmental management goals.
Kifayat Ullah, Zeeshan Ali, Zeeshan Ahmad   +2 more
core   +2 more sources

Evaluation of investment policy based on multi-attribute decision-making using interval valued T-spherical fuzzy aggregation operators

Symmetry, 2019
Expressing the measure of uncertainty, in terms of an interval instead of a crisp number, provides improved results in fuzzy mathematics. Several such concepts are established, including the interval-valued fuzzy set, the interval-valued intuitionistic ...
Mazlan Hassan, Kifayat Ullah, Hassan, Mazlan, Nasruddin Hassan, Tahir Mahmood, Hassan, Nasruddin, Naeem Jan, Ullah, Kifayat, Mahmood, Tahir, Jan, Naeem   +9 more
core   +2 more sources

Generalized Orbicular (m,n,o) T-Spherical Fuzzy Sets with Hamacher Aggregation Operators and Application to Multi-Criteria Group Decision Making [PDF]

arXiv.org
This paper introduces a novel approach to enhance uncertainty representation, offering decision-makers a more comprehensive perspective for improved decision-making outcomes.
Akhtar, Yasir, Ali, Mehboob, Yang, Miin-Shen   +2 more
core   +3 more sources

Enhancing learning environments with IoT: a novel decision-making approach using probabilistic linguistic T-spherical fuzzy set

Journal of Supercomputing
The Internet of Things is a system of networked devices that can gather, process, and share data through the Internet. The Internet of Things has vast potential to spread widely across various aspects of our lives.
Piñeres Espitia, Gabriel, Naz, Sumera, Shafiq, Aqsa, Butt, Shariq Aziz   +3 more
core   +2 more sources

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

Journal of Innovative Research in Mathematical and Computational Sciences, 2023
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 being able to account for the connections among the multi-input ...
Munir Hussain, Amir Hussain, S. Yin, Muhammad Nabeel Abid   +3 more
semanticscholar   +1 more source

Solution of supply chain management problems using rough t spherical fuzzy set lower and upper approximation spaces. [PDF]

Sci Rep
The importance of supply chain management lies in its direct influence on efficiency, customer satisfaction, and competitiveness. These issues are addressed, enabling organizations to minimize expenses, enhance reliability, respond to market dynamics ...
Zhao X, Zhou Y, Sun L.
europepmc   +2 more sources

Prioritised fuzzy constraint satisfaction problems: axioms, instantiation and validation [PDF]

, 2003
This paper identifies a generic axiom framework for prioritised fuzzy constraint satisfaction problems (PFCSPs), and proposes methods to instantiate it (i.e., to construct specific schemes which obey the generic axiom framework).
Luo, X., Jimmy Ho-man Lee, Lee, JH, Lee, JH-M, Luo, X, Leung, H, Jennings, N. R., Nicholas R. Jennings, Xudong Luo, Ho-fung Leung, Leung, H., Leung, H-F, Jennings, NR, Luo, Xudong, Lee, J.H.   +14 more
core   +2 more sources

Emulating Present and Future Simulations of Melt Rates at the Base of Antarctic Ice Shelves With Neural Networks

Journal of Advances in Modeling Earth Systems, Volume 15, Issue 12, December 2023., 2023
Abstract Melt rates at the base of Antarctic ice shelves are needed to drive projections of the Antarctic ice sheet mass loss. Current basal melt parameterizations struggle to link open ocean properties to ice‐shelf basal melt rates for the range of current sub‐shelf cavity geometries around Antarctica.
C. Burgard, N. C. Jourdain, P. Mathiot, R. S. Smith, R. Schäfer, J. Caillet, T. S. Finn, J. E. Johnson   +7 more
wiley   +1 more source