Results 31 to 40 of about 163,495 (283)
Discrete Ricci curvature-based statistics for soft sets
WOS: 000549234700002Soft sets are efficient mathematical structures to model systems in multiple relations. Since a soft set is basically set system, it is possible to endow them with a proper distance function to obtain a metric space. By this embedding,
Akgüller, Ömer
core +1 more source
Combination of interval set and soft set [PDF]
Soft set theory and interval set theory are all mathematical tools for dealing with uncertainties. This paper is devoted to the discussion of soft interval set and its application. The notion of soft interval sets is introduced by combining soft set and interval set.
Keyun Qin, Dan Meng, Zheng Pei, Yang Xu
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Algebraic structures and lattice properties of hypergraph Pre-Rough sets [PDF]
The study introduces and examines the concept of hypergraph pre-rough sets, which are developed by combining minimum soft descriptions with hypergraph structures.
Ganesan Gomathi +3 more
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Bipolar neutrosophic soft sets and applications in decision making
Neutrosophic set, proposed by Smarandache considers a truth membership function, an indeterminacy membership function and a falsity membership function. Soft set, proposed by Molodtsov is a mathematical framework which has the ability of independency of ...
Deli, Irfan +7 more
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Possibility Fuzzy Soft Set [PDF]
We introduce the concept of possibility fuzzy soft set and its operation and study some of its properties. We give applications of this theory in solving a decision-making problem. We also introduce a similarity measure of two possibility fuzzy soft sets and discuss their application in a medical diagnosis problem.
Shawkat Alkhazaleh +2 more
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Some Results on Soft Topological Notions
Recently, the generalizations of soft open sets have become a popular subject. These generalizations define based on the concepts of the soft interior and soft closure.
Tuğçe Aydın, Serdar Enginoğlu
doaj
Standard Neutrosophic Soft Theory: Some First Results [PDF]
The traditional soft set is a mapping from a parameter set to family of all crisp subsets of a universe. Molodtsov introduced the soft set as a generalized tool for modelling complex systems involving uncertain or not clearly defined objects.
Bui Cong Cuong +2 more
doaj
ABSTRACT Background 131I‐metaiodobenzylguanidine (131I‐MIBG) radiotherapy is a key treatment for relapsed and refractory (R/R) neuroblastoma (NB). Patients with R/R disease treated in the modern era are increasingly exposed to anti‐GD2 immunotherapy, which exerts selective pressure and may modify both tumor cell state and microenvironment.
Benjamin J. Lerman +7 more
wiley +1 more source
Molodtsov introduced a soft set (SS) to model uncertainty parametrically, and Chaterjee et al. proposed the notion of quadripartitioned neutrosophic set (QNS) by dividing indeterminacy into two independent components, namely contradiction (C) and unknown
Somen Debnath
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Organoids in pediatric cancer research
Organoid technology has revolutionized cancer research, yet its application in pediatric oncology remains limited. Recent advances have enabled the development of pediatric tumor organoids, offering new insights into disease biology, treatment response, and interactions with the tumor microenvironment.
Carla Ríos Arceo, Jarno Drost
wiley +1 more source

