A Variable Precision Covering-Based Rough Set Model Based on Functions

Classical rough set theory is a technique of granular computing for handling the uncertainty, vagueness, and granularity in information systems. Covering-based rough sets are proposed to generalize this theory for dealing with covering data. By introducing a concept of misclassification rate functio...

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Bibliographic Details
Main Authors: Zhu, Yanqing, Zhu, William
Format: Online
Language:English
Published: Hindawi Publishing Corporation 2014
Online Access:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4142164/