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F1000ResearchBackground Several scholars defined the concepts of fuzzy soft set theory and their application on decision-making problem. Based on this concept, researchers defined the generalised fuzzy soft set and its applications. However, to the best of the author’
Mihret Alamneh Taye +2 more
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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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Association rules of fuzzy soft set based classification for text classification problem
Journal of King Saud University: Computer and Information Sciences, 2022 Text classification is imperative in order to search for more accessible and appropriate information. It utilized in various fields, including marketing, security, biomedical, etc.
Dede Rohidin +2 more
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Computers & Mathematics with Applications, 2010 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Majumdar, Pinaki, Samanta, S.K.
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A modified fuzzy approach to project team selection
Soft Computing Letters, 2021 Selecting a team for executing a project is not an easy task. As any project involves monetary implications, management of a company employs a careful approach in choosing a project team. Several variations of Multi Criteria Decision Making (MCDM) Models
Sunny Joseph Kalayathankal +2 more
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ON SOME DECOMPOSITIONS OF FUZZY SOFT CONTINUITY
Journal of New Theory, 2015 – In this article, some open-like fuzzy soft sets such as fuzzy soft semi-open set, fuzzy soft preopen set, fuzzy soft α-open set and corresponding variants of fuzzy soft continuous functions are introduced and discussed.
Pradip Kumar Gain +2 more
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Type-2 Fuzzy Soft Sets and Their Applications in Decision Making
Journal of Applied Mathematics, 2012 Molodtsov introduced the theory of soft sets, which can be used as a general mathematical tool for dealing with uncertainty. This paper aims to introduce the concept of the type-2 fuzzy soft set by integrating the type-2 fuzzy set theory and the soft set
Zhiming Zhang, Shouhua Zhang
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An Overview of Classifier Fusion Methods [PDF]
, 2000 A number of classifier fusion methods have been recently developed opening an alternative approach leading to a potential improvement in the classification performance.
Gabrys, Bogdan, Ruta, Dymitr
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An SMP Soft Classification Algorithm for Remote Sensing [PDF]
, 2012 This work introduces a symmetric multiprocessing (SMP) version of the continuous iterative guided spectral class rejection (CIGSCR) algorithm, a semiautomated classification algorithm for remote sensing (multispectral) images.
Easterling, David R. +3 more
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Interval valued $(\in,\ivq)$-fuzzy filters of pseudo $BL$-algebras
, 2008 We introduce the concept of quasi-coincidence of a fuzzy interval value with an interval valued fuzzy set. By using this new idea, we introduce the notions of interval valued $(\in,\ivq)$-fuzzy filters of pseudo $BL$-algebras and investigate some of ...
A Di Nola +37 more
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