4.5 Article

Intuitionistic fuzzy rough sets: at the crossroads of imperfect knowledge

Journal

EXPERT SYSTEMS
Volume 20, Issue 5, Pages 260-270

Publisher

BLACKWELL PUBL LTD
DOI: 10.1111/1468-0394.00250

Keywords

rough set theory; intuitionistic fuzzy set theory; L-fuzzy set theory; incomplete information; lower and upper approximation

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Just like rough set theory, fuzzy set theory addresses the topic of dealing with imperfect knowledge. Recent investigations have shown how both theories can be combined into a more flexible, more expressive framework for modelling and processing incomplete information in information systems. At the same time, intuitionistic fuzzy sets have been proposed as an attractive extension of fuzzy sets, enriching the latter with extra features to represent uncertainty (on top of vagueness). Unfortunately, the various tentative definitions of the concept of an 'intuitionistic fuzzy rough set' that were raised in their wake are afar cry from the original objectives of rough set theory. We intend to fill an obvious gap by introducing a new definition of intuitionistic fuzzy rough sets, as the most natural generalization of Pawlak's original concept of rough sets.

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