Publication Date
2009
Degree Type
Master's Project
Degree Name
Master of Science (MS)
Department
Computer Science
Abstract
The concept of rough set theory is a mathematical approach to uncertainly and vagueness in data analysis, introduced by Zdzislaw Pawlak in 1980s. Rough set theory assumes the underlying structure of knowledge is a partition. We have extended Pawlak’s concept of knowledge to coverings. We have taken a soft approach regarding any generalized subset as a basic knowledge. We regard a covering as basic knowledge from which the theory of knowledge approximations and learning, knowledge dependency and reduct are developed.
Recommended Citation
Barot, Rushin, "Knowledge Engineering from Data Perspective: Granular Computing Approach" (2009). Master's Projects. 140.
DOI: https://doi.org/10.31979/etd.5chn-axp8
https://scholarworks.sjsu.edu/etd_projects/140
