Results 31 to 40 of about 699,072 (277)
Neutrosophic Sets and Systems, 2014 Both neutrosophic sets theory and rough sets theory are emerging as powerful tool for managing uncertainty, indeterminate, incomplete and imprecise information.
Said Broumi +2 more
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Multi-fuzzy Rough Sets based on Implicators and Continuous t-norms
Fuzzy Information and Engineering, 2017 This paper extends the study of multi-fuzzy rough sets using an implicator and a continuous t-norm and thus introduces multi-fuzzy rough sets based on fuzzy logical connectives.
Gayathri Varma, Sunil Jacob John
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Rough Neutrosophic Multisets [PDF]
Neutrosophic Sets and Systems, 2017 Many past studies largely described the concept of neutrosophic sets, neutrosophic multisets, rough sets, and rough neutrosophic sets in many areas. However, no paper has discussed about rough neutrosophic multisets.
Suriana Alias +2 more
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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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Roughness of fuzzy soft sets and related results [PDF]
International Journal of Computational Intelligence Systems, 2015 This paper investigates roughness of fuzzy soft sets. A pair of fuzzy soft rough approximations is proposed and their properties are given. Based on fuzzy soft rough approximations, the concept of fuzzy soft rough sets is introduced.
Zhaowen Li, Tusheng Xie
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Empirical analysis of rough set categorical clustering techniques based on rough purity and value set [PDF]
, 2017 Clustering a set of objects into homogeneous groups is a fundamental operation in data mining. Recently, attention has been put on categorical data clustering, where data objects are made up of non-numerical attributes.
Abdulhasan, Raed abdulkareem +5 more
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Neutrosophic Soft Rough Graphs with Application
Axioms, 2018 Neutrosophic sets (NSs) handle uncertain information while fuzzy sets (FSs) and intuitionistic fuzzy sets (IFs) fail to handle indeterminate information. Soft set theory, neutrosophic set theory, and rough set theory are different mathematical models for
Muhammad Akram +3 more
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Soft Interval-Valued Neutrosophic Rough Sets [PDF]
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.
Said Broumi, Florentin Smarandache
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A Study of Roughness in Modules of Fractions
IEEE Access, 2019 The theory of rough sets is successfully applied in various algebraic systems (e.g. groups, rings, and modules). In this paper, the concept of roughness is introduced in modules of fractions with respect to its submodules.
Zhihua Chen +4 more
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Matroidal structure of generalized rough sets based on symmetric and transitive relations [PDF]
, 2012 Rough sets are efficient for data pre-process in data mining. Lower and upper approximations are two core concepts of rough sets. This paper studies generalized rough sets based on symmetric and transitive relations from the operator-oriented view by ...
Yang, Bin, Zhu, William
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