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Open AccessJournal Article

On Intuitionistic Fuzzy Rough Sets

H.Jude Immaculate
- 26 Jul 2015 - 
- Vol. 2, Iss: 8, pp 27-44
TLDR
The concept of intuitionistic fuzzy rough topology in an approximation space based on an intuitionism fuzzy equivalence relation is initiated and some properties are characterized for this topology.
Abstract
The extension of rough set model is an important research direction in rough set theory. The aim of this paper is to derive a new extension of classical notion of set theory. We initiate the concept of intuitionistic fuzzy rough topology in an approximation space based on an intuitionistic fuzzy equivalence relation. Furthermore some properties are characterized for this topology.

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Citations
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Tolerance-based intuitionistic fuzzy-rough set approach for attribute reduction

TL;DR: A novel mechanism of attribute selection using tolerance-based fuzzy rough and intuitionistic fuzzy rough set theory is proposed and the proposed concept is found to be better performing in the form of selected attributes.
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A dominance intuitionistic fuzzy-rough set approach and its applications

TL;DR: An original notion, dominance intuitionistic fuzzy decision tables (DIFDT), is proposed in this paper and the presented model and algorithms are applied to audit risk judgment on information system security auditing risk judgement for CISA, candidate global supplier selection in a manufacturing company, and cars classification.
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Generalized Interval-Valued Fuzzy Rough Set and its Application in Decision Making

TL;DR: It is proved that different axiom sets can characterize the essential properties of generalized interval-valued fuzzy rough approximation operators, and the composition of two approximation spaces is explored.
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Attributes reduction based on intuitionistic fuzzy rough sets

TL;DR: After reviewing attributes reduction with traditional rough sets, some equivalent conditions to describe the relative reduction with intuitionistic fuzzy rough sets are proposed, and the structure of reduction is completely examined.
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A fitting model based intuitionistic fuzzy rough feature selection

TL;DR: A novel intuitionistic fuzzy rough set model is proposed for handling feature subset selection with fuzzy rough sets and it can be observed that the proposed model provides more accurate reduct set than existing model.
References
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Journal ArticleDOI

Intuitionistic fuzzy sets

TL;DR: Various properties are proved, which are connected to the operations and relations over sets, and with modal and topological operators, defined over the set of IFS's.
Book

Rough Sets: Theoretical Aspects of Reasoning about Data

TL;DR: Theoretical Foundations.
Journal ArticleDOI

An introduction to intuitionistic fuzzy topological spaces

TL;DR: The basic concepts of the so-called “intuitionistic fuzzy topological spaces” are constructed, the definitions of fuzzy continuity, fuzzy compactness, fuzzy connectedness and fuzzy Hausdorff space are introduced, and several preservation properties and some characterizations concerning fuzzy compactity and fuzzyconnectedness are obtained.
Journal ArticleDOI

Rough set theory for topological spaces

TL;DR: The notion of topological membership functions is introduced that integrates the concept of rough and fuzzy sets that opens up the way for applying rich amount ofTopological facts and methods in the process of granular computing.
Journal ArticleDOI

Structures on intuitionistic fuzzy relations

TL;DR: The structures of the intuitionistic fuzzy relations are studied and certain structures of intuitionistic relations are characterized according to the structures of two concrete fuzzy relations.
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