Results 51 to 60 of about 3,207 (201)
Certainty of outlier and boundary points processing in data mining
, 2018 Data certainty is one of the issues in the real-world applications which is caused by unwanted noise in data. Recently, more attentions have been paid to overcome this problem.
Guo, Yanhui +3 more
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A Convolutional Neural Network model based on Neutrosophy for Noisy Speech Recognition
, 2019 Convolutional neural networks are sensitive to unknown noisy condition in the test phase and so their performance degrades for the noisy data classification task including noisy speech recognition.
Akbari, Ahmad +2 more
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Iterative Information Granulation for Novelty Detection in Complex Datasets [PDF]
, 2016 Recognition memory in a number of mammals is usually utilised to identify novel objects that violate model predictions. In humans in particular, the recognition of novel objects is foremost associated to their ability to group objects that are highly ...
Panoutsos, G., Rubio-Solis, A.
core +1 more source
Soft Interval-Valued Neutrosophic Rough Sets
Neutrosophic Sets and Systems, 2015 In this paper, we first defined soft interval-valued neutrosophic rough sets(SIVN- rough sets for short) which combines interval valued neutrosophic soft set and rough sets and studied some of its basic properties. This concept is an extension of soft interval valued intuitionistic fuzzy rough sets( SIVIF- rough sets).
Said Broumi, Florentin Smarandache
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n-Valued refined neutrosophic soft set theory [PDF]
Journal of Intelligent & Fuzzy Systems, 2016 In this paper as a generalization of neutrosophic soft set we introduce the concept of n-valued refined neutrosophic soft set and study some of its properties. We also, define its basic operations, complement, union intersection, “AND” and “OR” and study their properties.
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A new method of measuring similarity between two neutrosophic soft sets and its application in pattern recognition problems [PDF]
Neutrosophic Sets and Systems, 2015 Smarandache in 1995 introduced the concept of neutrosophic set and in 2013 Maji introduced the notion of neutrosophic soft set, which is a hybridization of neutrosophic set and soft set. After its introduction neutrosophic soft sets become most efficient
Anjan Mukherjee, Sadhan Sarkar
doaj
Journal of Mathematics, Volume 2026, Issue 1, 2026.When making decisions using multiple criteria, known as “multicriteria decision‐making” (MCDM), it is essential to organize and address these challenges effectively. The Q‐Neutrosophic Hypersoft Set (Q‐NHSS) expands upon the Q‐Neutrosophic Soft Set (Q‐NSS) and integrates it with the Q‐Fuzzy set, a two‐dimensional information system.
Ayisha Saeed +5 more
wiley +1 more source
Generalized Neutrosophic Soft Set
International Journal of Computer Science, Engineering and Information Technology, 2013 In this paper we present a new concept called generalized neutrosophic soft set. This concept incorporates the beneficial properties of both generalized neutrosophic set introduced by A.A. Salama [7]and soft set techniques proposed by Molodtsov [4]. We also study some properties of this concept.
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, 2017 In this paper, we propose the complex neutrosophic soft set model, which is a hybrid of complex fuzzy sets, neutrosophic sets and soft sets. The basic set theoretic operations and some concepts related to the structure of this model are introduced, and illustrated.
Broumi, Said +5 more
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Sohag Journal of Mathematics, 2020 This paper concerns the study of the notions of neutrosophic soft s-open set, neutrosophic soft s-neighborhood and neutrosophic soft s-separation axioms in neutrosophic soft topological spaces. By using such notions and that of neutrosophic soft point, we study the separation axioms s-Ti (with i = 0; : : : 4), the s-regular and the s-normal ...
Arif Mehmood +5 more
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