Abstract
The aim of the present article is to develop a method of rough retrieval, namely, an application of the rough set theory to information retrieval. After a brief review of fuzzy sets, rough sets, and a fuzzy logical model for information retrieval, rough approximations for retrieved data are defined. The approximations are considered for both crisp and fuzzy cases. A fuzzy set is introduced for the rough boundary, and estimation for the membership for the results of set operations on the boundary is discussed. Rough approximations in cases when hierarchical classes are assumed are considered. Moreover, another approximation by a membership sequence is discussed which refines the foregoing approximations. Illustrative examples are shown. © 1998 John Wiley & Sons, Inc.
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 callMore From: Journal of the American Society for Information Science
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.
