Results 11 to 20 of about 9,157,831 (331)
Computers & Mathematics with Applications, 2003 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Pabitra Kumar Maji +2 more
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On the neutrosophic soft set with rough set theory. [PDF]
Soft comput, 2021 Rough set is a very powerful invention to the whole world for dealing with uncertain, incomplete and imprecise problems. Also soft set theory and neutrosophic set theory are advance mathematical tools to handle these uncertain, incomplete, inconsistent information in a better way.
Das M, Mohanty D, Parida KC.
europepmc +6 more sources
Algorithms for Covid-19 outbreak using soft set theory: estimation and application. [PDF]
Soft comput, 2023 Coronavirus disease (Covid-19) is a novel pandemic disease. Covid-19 originates from SARS-COV2 and represents the cause of a potentially fatal disease as a global public health problem.
Dalkılıç O, Demirtaş N.
europepmc +2 more sources
Computers & Mathematics with Applications, 2010 AbstractMolodtsov (1999) introduced the concept of soft sets in [1]. Then, Maji et al. (2003) defined some operations on soft sets in [2]. Aktaş and Çaǧman (2007) defined the notion of soft groups in [3]. Finally, soft semirings are defined by Feng et al. (2008) in [5]. In this paper, we have introduced initial concepts of soft rings.
Ummahan Acar, Fatih Koyuncu, Bekir Tanay
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Computers & Mathematics with Applications, 2011 AbstractSoft set theory, proposed by Molodtsov, has been regarded as an effective mathematical tool to deal with uncertainties. In this paper, first we prove that certain De Morgan’s law hold in soft set theory with respect to different operations on soft sets.
Aslıhan Sezgin, Akın Osman Atagün
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Analysis of survival for lung cancer resections cases with fuzzy and soft set theory in surgical decision making. [PDF]
PLoS One, 2019 Objective Lung cancer is the most common type of cancer around the world, and it represents the main cause of death in the USA. Surgical treatment is the optimal therapeutic strategy for resectable non-small cell lung cancer.
Alcantud JCR +4 more
europepmc +2 more sources
Operations on soft sets revisited [PDF]
Journal of Applied Mathematics, 2012 The concept of soft sets introduced by Molodtsov is a general mathematical tool for dealing with uncertainty. Just as the conventional set-theoretic operations of intersection, union, complement, and difference, some corresponding operations on soft sets have been proposed.
Ping Zhu, Qiaoyan Wen
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A new kind of fuzzy n-ary hypergroups in the framework of soft set theory. [PDF]
ScientificWorldJournal, 2014 Li H, Yin Y.
europepmc +3 more sources
A NEW SOFT SET OPERATION: COMPLEMENTARY SOFT BINARY PIECEWISE UNION (∪) OPERATION
Acta Informatica Malaysia, 2023 Molodtsov’s soft set theory has been used in various disciplines both theoretically and practically. It is an effective mathematical tool for dealing with uncertainty. Since its debut, numerous types of soft set operations have been presented and applied.
A. Sezgi̇n +2 more
semanticscholar +1 more source
A NEW SOFT SET OPERATION: COMPLEMENTARY SOFT BINARY PIECEWISE GAMMA(𝜸) OPERATION
Matrix Science Mathematic, 2023 Soft set theory, introduced by Molodtsov, is as an efficacious mathematical tool to deal with uncertainty and it has been applied to many fields both as theoretical and application aspect.
A. Sezgi̇n, Fitnat Nur Aybek
semanticscholar +1 more source