Results 171 to 180 of about 40,981 (212)
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Attribute reduction methods in fuzzy rough set theory: An overview, comparative experiments, and new directions

Applied Soft Computing, 2021
Fuzzy rough set theory is a powerful tool to deal with uncertainty information, which has been successfully applied to the fields of attribute reduction, rule extraction, classification tree induction, etc.
Zhong Yuan   +5 more
semanticscholar   +1 more source

A new approach of attribute reduction of rough sets based on soft metric

Journal of Intelligent & Fuzzy Systems, 2020
Attribute reduction is considered as an important processing step for pattern recognition, machine learning and data mining. In this paper, we combine soft set and rough set to use them in applications.
H. Mustafa, O. Tantawy
semanticscholar   +1 more source

Spherical fuzzy soft sets and its applications in decision-making problems

Journal of Intelligent & Fuzzy Systems, 2019
In this paper, the definition of spherical fuzzy soft sets and some of its properties are introduced. Spherical fuzzy soft sets are a generalization of soft sets. Notably, we showed DeMorgan’s laws that are valid in spherical fuzzy soft set theory. Also,
A. FathimaPerveenP.   +3 more
semanticscholar   +1 more source

Predicting the Survival Status of Patient after Bone Marrow Transplant Using Fuzzy Discernibility Matrix

2022 OPJU International Technology Conference on Emerging Technologies for Sustainable Development (OTCON), 2023
Bone Marrow Transplant (BMT), also known as Stem Cell Transplant, is a type of medical treatment in which bone marrow having unhealthy cells is replaced by healthy cells.
M. Gourisaria   +3 more
semanticscholar   +1 more source

Soft ordered approximations and incomplete information system

Journal of Intelligent & Fuzzy Systems, 2019
The present paper aims to initiate the study of multi attribute group decision making in the presence of incomplete multi attribute and incomplete multi decision while making a decision with preferences in an incomplete information system. The concept of
Abbas Ali, N. Rehman, M. Ali, K. Hila
semanticscholar   +1 more source

Multilabel Feature Selection Based on Relative Discernibility Pair Matrix

IEEE transactions on fuzzy systems, 2021
In multilabel learning, the curse of dimensionality is one of major challenges. Existing single-label feature selection methods cannot be directly applied to multilabel data, and multilabel feature selections have thus been widely studied.
Erliang Yao   +3 more
semanticscholar   +1 more source

A simple discernibility matrix for attribute reduction in formal concept analysis based on granular concepts

Journal of Intelligent & Fuzzy Systems, 2019
Attribute reduction is one of the crucial issues in Formal Concept Analysis. Discernibility matrix plays an important role in attribute reduction, and has been achieved many successful applications in different concept lattice models.
Leijun Li   +3 more
semanticscholar   +1 more source

Granulation of protein–protein interaction networks in Pythagorean fuzzy soft environment

Journal of Applied Mathematics and Computation, 2022
H. S. Nawaz, M. Akram
semanticscholar   +1 more source

Composite of knitted fabric and soft matrix. I. Crack growth in the course direction.

Soft Matter
A composite of a knitted fabric and a soft matrix enables applications that require low stiffness and high crack resistance. Examples include heart valves and stretchable strain sensors.
Fengkai Liu   +3 more
semanticscholar   +1 more source

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