Abstract
As an important expanded quantification fuzzy rough set model, the local fuzzy rough set model is used to measure relative quantitative information between the fuzzy similarity classes and the basic concept. Although many studies have taken on this topic, the existing local fuzzy rough sets ignore the absolute quantitative information in the fuzzy information system over two universes. Therefore, based on this observation, we propose a local double quantitative fuzzy rough set model over two universes, which considers the problems from the double quantization form of the local fuzzy rough sets over two universes. Furthermore, the corresponding properties and decision rules of the local double quantitative “logical and” fuzzy rough set model over two universes are studied. Then, in order to improve the applicability of the model, an effective reduction method is introduced. Finally, we conduct experimental comparisons showing the computational efficiency and approximate accuracy of the model in concept approximation and reduction.
Sign-in/Register to access full text options 
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.
