Results 41 to 50 of about 1,853 (193)
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.
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Some Types Of Neutrosophic Crisp Sets And Neutrosophic Crisp Relations
, 2014 The purpose of this paper is to introduce a new types of crisp sets are called the neutrosophic crisp set with three types 1, 2, 3. After given the fundamental definitions and operations, we obtain several properties, and discussed the relationship between neutrosophic crisp sets and others.
A.A.Salama +2 more
openaire +1 more source
De-Neutrosophication Technique of Pentagonal Neutrosophic Number and Application in Minimal Spanning Tree [PDF]
Neutrosophic Sets and Systems, 2019 In this current era, neutrosophic set theory is a crucial topic to demonstrate the ambiguous information due to existence of three disjunctive components appears in it and it provides a wide range of applications in distinct fields for the researchers ...
Avishek Chakraborty +2 more
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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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Plithogenic sets and their application in decision making [PDF]
Neutrosophic Sets and Systems, 2020 There are various mathematical tools available to measure the level of accuracy such as Crisp, Fuzzy, Intuitionistic fuzzy sets and Neutosophic set. Further, Plithogenic set is a generalization of these four sets.
S.Gomathy +3 more
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, 2011 In this paper we generalize the intuitionistic fuzzy set (IFS), paraconsistent set, and intuitionistic set to the neutrosophic set (NS). Several examples are presented.
Smarandache, Florentin
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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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A novel modified Khatter’s approach for solving Neutrosophic Data Envelopment Analysis
Croatian Operational Research Review, 2023 The evaluation of the performance of decision-making units (DMUs) that use comparable inputs to produce related outputs can be accomplished through a non-parametric linear programming (LP) technique called Data Envelopment Analysis (DEA).
Kshitish Kumar Mohanta +2 more
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An Interval‐Valued Fermatean Neutrosophic Framework for Sustainable Transportation Under Uncertainty
Journal of Mathematics, Volume 2026, Issue 1, 2026.Transportation planning is facing heightened complexity because the dynamic parameters influenced by globalization and unpredictable technological disruptions. Traditional models are not capable to handle interval‐based uncertainties related to supply, demand, and costs, especially as the scale of suppliers and customers expands.
Muhammad Kamran +4 more
wiley +1 more source
A Historical Account of Types of Fuzzy Sets and Their Relationships [PDF]
, 2015 In this paper, we review the definition and basic properties of the different types of fuzzy sets that have appeared up to now in the literature. We also analyze the relationships between them and enumerate some of the applications in which they have ...
Barrenechea, Edurne +9 more
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