Abstract
Pawlak’s rough set theory offers a formal theoretical framework to deal with categorical data. Later on, Dubois and Prade introduced rough fuzzy sets and fuzzy rough sets as a generalization of rough sets. However, this model is not applicable to interval data, which widely exist in real world applications. In this work, we provide a new rough set approach to the grey fuzzy information system by the neighborhood system theory. By using grey lattice operation and Hausdorff distance, three forms of rough set models are constructed based on coverings, maximal consistent blocks and neighborhood system. Moreover, three numerical examples are employed to substantiate the conceptual arguments.
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
