Results 1 to 10 of about 51 (46)

Information Measures Based on T-Spherical Fuzzy Sets and Their Applications in Decision Making and Pattern Recognition

Axioms, 2022
The T-spherical fuzzy set (TSFS) is a modification of the fuzzy set (FS), intuitionistic fuzzy set (IFS), Pythagorean fuzzy set (PyFS), q-rung orthopair fuzzy set (q-ROFS), and picture fuzzy set (PFS), with three characteristic functions: the membership ...
Xiaomin Shen, Sidra Sakhi, Kifayat Ullah, Muhammad Nabeel Abid, Yun Jin   +4 more
doaj   +3 more sources

Divergence Measure of T-Spherical Fuzzy Sets and its Applications in Pattern Recognition

IEEE Access, 2020
In this manuscript, spherical fuzzy set (SFS) and T-spherical fuzzy set (TSFS) are discussed, which are two generalizations of fuzzy set (FS), intuitionistic fuzzy set (IFS), Pythagorean fuzzy set (PFS) and picture fuzzy set (PFS).
Mei-Qin Wu, Ting-You Chen, Jian-Ping Fan
doaj   +3 more sources

An MADM approach for the assessment of eye lenses with fuzziness of using prioritized weighted operators [PDF]

Scientific Reports
The choice of lens impacts the quality of vision, comfort, and overall eye health. By correcting vision problems such as astigmatism, nearsightedness, or farsightedness, the right lens can guarantee precise and clear vision.
Chengli Hu, Faizan Pervaiz, Jing Zhang, Kifayat Ullah, Muhammad Rizwan Khan, Ali Raza, Zeeshan Ali, Shi Yin, Hanen Karamti   +8 more
doaj   +2 more sources

Similarity Measures of T-Spherical Fuzzy Sets Based on the Cosine Function and Their Applications in Pattern Recognition

IEEE Access, 2020
In this manuscript, nine similarity measures of T-spherical fuzzy set (TSFS) considering the membership degree, the hesitancy degree, the non-membership degree and the refusal degree are developed according to the cosine function.
Mei-Qin Wu, Ting-You Chen, Jian-Ping Fan
doaj   +3 more sources

Approach to multi-attribute decision-making problems based on neutrality aggregation operators of T-spherical fuzzy information [PDF]

Computational and Applied Mathematics, 2022
Dragan Pamucar, Harish Garg, Kifayat Ullah   +2 more
exaly   +1 more source

Approach to Multi-Attribute Decision-Making Methods for Performance Evaluation Process Using Interval-Valued T-Spherical Fuzzy Hamacher Aggregation Information

Axioms, 2021
Interval-valued T-spherical fuzzy set (IVTSFS) handles uncertain and vague information by discussing their membership degree (MD), abstinence degree (AD), non-membership degree (NMD), and refusal degree (RD).
Yun Jin, Zareena Kousar, Kifayat Ullah, Tahir Mahmood, Nimet Yapici Pehlivan, Zeeshan Ali   +5 more
doaj   +1 more source

Some Generalized T-Spherical and Group-Generalized Fuzzy Geometric Aggregation Operators with Application in MADM Problems

Journal of Mathematics, 2021
In this article, the generalized parameter is involved in T-spherical fuzzy set (TSFS), and with the help of this generalized parameter, some generalized geometric aggregation operators for TSFSs are proposed.
Yujuan Chen, Muhammad Munir, Tahir Mahmood, Azmat Hussain, Shouzhen Zeng   +4 more
doaj   +1 more source

Novel Complex T-Spherical Fuzzy 2-Tuple Linguistic Muirhead Mean Aggregation Operators and Their Application to Multi-Attribute Decision-Making

International Journal of Computational Intelligence Systems, 2020
Complex T-spherical fuzzy 2-tuple linguistic set (CTSF2-TLS), which is a combination of complex fuzzy set (CFS), T-spherical fuzzy set (TSFS), and 2-tulpe linguistic variable set (2-TLVS), is a proficient technique to express uncertain and awkward ...
Peide Liu, Zeeshan Ali, Tahir Mahmood
doaj   +1 more source

On Globular T-Spherical Fuzzy (G-TSF) Sets with Application to G-TSF Multi-Criteria Group Decision-Making

CoRR
In this paper, we give the concept of Globular T-Spherical Fuzzy (G-TSF) Sets (G-TSFSs) as an innovative extension of T-Spherical Fuzzy Sets (TSFSs) and Circular Spherical Fuzzy Sets (C-SFSs). G-TSFSs represent membership, indeterminacy, and non-membership degrees using a globular/sphere bound that can offer a more accurate portrayal of vague ...
Miin-Shen Yang, Yasir Akhtar, Mehboob Ali   +2 more
openaire   +2 more sources

Deep Learning-Driven Personalized Course Recommendations in MOOC Platforms Using Domain-Specific Strategies

IEEE Access
Course recommendations on online platforms are full of uncertainty and ambiguities due to the involvement of several uncertain factors. The primary goal of this study is to investigate an intelligent fuzzy decision algorithm that can assess learners and ...
Junyan Yin, Xusheng Zhou
doaj   +1 more source