Abstract

In the era of big data, faced with massive and complex information, many mathematical concepts used to make judgments and decisions have emerged. In order to better integrate the multi-level fuzzy information, on the basis of the original covering rough set, we generalize the couple approximate operators defined by L.W. Ma to the information system and propose a new binary model—dyad fuzzy β-covering rough set models. This model can analyze and solve practical problems from multiple angles, so as to make more accurate decisions. In addition, in order to make the model more convenient for large and complex data processing, we use matrix to represent the model and realize it by computer programming. Finally, we illustrate the value of this model by solving a practical problem.

Full Text
Paper version not known

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 call

Disclaimer: 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.