Results 31 to 40 of about 117,803 (271)
The Soft Sets and Fuzzy Sets-Based Neural Networks and Application
IEEE Access, 2020 This paper reviews and compares theories of fuzzy sets and soft sets from the perspective of transformation, and a machine learning model-SF-ANN (the soft sets and fuzzy sets based artificial neural network) is proposed. Liu et al.
Zhicai Liu +3 more
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On Weak and Strong Forms of Fuzzy Soft Open Sets
Fuzzy Information and Engineering, 2016 We introduce and examined some basic properties of fuzzy soft α-open (closed) sets in fuzzy soft topological spaces. Fuzzy soft pre-open (closed) sets are also defined and discussed.
Sabir Hussain
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Adaptive inferential sensors based on evolving fuzzy models [PDF]
, 2010 A new technique to the design and use of inferential sensors in the process industry is proposed in this paper, which is based on the recently introduced concept of evolving fuzzy models (EFMs). They address the challenge that the modern process industry
Angelov, Plamen, Kordon, Arthur
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Hesitant Fuzzy Soft Set and Its Applications in Multicriteria Decision Making
Journal of Applied Mathematics, 2014 Molodtsov’s soft set theory is a newly emerging mathematical tool to handle uncertainty. However, the classical soft sets are not appropriate to deal with imprecise and fuzzy parameters. This paper aims to extend the classical soft sets to hesitant fuzzy
Fuqiang Wang, Xihua Li, Xiaohong Chen
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Fuzzy soft connected sets in fuzzy soft topological spaces II
Journal of the Egyptian Mathematical Society, 2017 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Kandil, A. +3 more
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Neutrosophic Fuzzy Soft BCK-submodules [PDF]
Neutrosophic Sets and Systems, 2020 The target of this study is to apply the notion of neutrosophic soft sets to the theory of BCK-modules by introducing the notion of neutrosophic fuzzy soft BCK-submodules and deriving their basic properties.
R. S. Alghamdi , N. O. Alshehri
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Soft ranking in clustering [PDF]
, 2009 Due to the diffusion of large-dimensional data sets (e.g., in DNA microarray or document organization and retrieval applications), there is a growing interest in clustering methods based on a proximity matrix. These have the advantage of being based on a
Aggarwal +17 more
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A Soft Computing Approach to Dynamic Load Balancing in 3GPP LTE [PDF]
, 2012 A major objective of the 3GPP LTE standard is the provision of high-speed data services. These services must be guaranteed under varying radio propagation conditions, to stochastically distributed mobile users.
Atayero, A. A., Luka, M. K.
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Intuitionistic Fuzzy Soft Rough Set and Its Application in Decision Making
Abstract and Applied Analysis, 2014 The soft set theory, originally proposed by Molodtsov, can be used as a general mathematical tool for dealing with uncertainty. In this paper, we present concepts of soft rough intuitionistic fuzzy sets and intuitionistic fuzzy soft rough sets, and ...
Haidong Zhang, Lan Shu, Shilong Liao
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Some Properties of Intuitionistic Fuzzy Soft Rings
Journal of Mathematics, 2013 Maji et al. introduced the concept of intuitionistic fuzzy soft sets, which is an extension of soft sets and intuitionistic fuzzy sets. In this paper, we apply the concept of intuitionistic fuzzy soft sets to rings.
B. A. Ersoy, S. Onar, K. Hila, B. Davvaz
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