Results 71 to 80 of about 295,676 (258)
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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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
doaj +1 more source
The application of ANFIS prediction models for thermal error compensation on CNC machine tools [PDF]
, 2014 Thermal errors can have significant effects on CNC machine tool accuracy. The errors come from thermal deformations of the machine elements caused by heat sources within the machine structure or from ambient temperature change.
Abdulshahed +35 more
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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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Representation and application of Fuzzy soft sets in type-2 environment
Complex & Intelligent Systems, 2021 This paper has represented a soft-set in the type-2 environment by its simplest form as an augmentation to soft-set theories. Furthermore, we have applied the type-2 fuzzy soft set(T2FSS) by using our most straightforward representation to find the ...
Biplab Paik, S. Mondal
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A comprehensive study of implicator-conjunctor based and noise-tolerant fuzzy rough sets: definitions, properties and robustness analysis [PDF]
, 2015 © 2014 Elsevier B.V. Both rough and fuzzy set theories offer interesting tools for dealing with imperfect data: while the former allows us to work with uncertain and incomplete information, the latter provides a formal setting for vague concepts. The two
Cornelis, Chris +3 more
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Relations on FP-Soft Sets Applied to Decision Making Problems [PDF]
, 2014 In this work, we first define relations on the fuzzy parametrized soft sets and study their properties. We also give a decision making method based on these relations.
Deli, Irfan, Çağman, Naim
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Genetic algorithm design of neural network and fuzzy logic controllers [PDF]
, 2000 Genetic algorithm design of neural network and fuzzy logic ...
Chiu, K. S., Hunter, Andrew
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IEEE Access, 2022 q-rung orthopair fuzzy soft sets (q-ROFSS) is a progressive form for orthopair fuzzy sets. It is also an appropriate extension of intuitionistic fuzzy soft sets (IFSS) and Pythagorean fuzzy soft sets (PFSS).
Rana Muhammad Zulqarnain +5 more
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Convex and Concave Soft Sets and Some Properties [PDF]
, 2013 In this study, after given the definition of soft sets and their basic operations we define convex soft sets which is an important concept for operation research, optimization and related problems.
Deli, Irfan
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