On Variable Precision Generalized Rough Sets and Incomplete Decision Tables

Autor:	En-Bing Lin, Yu-Ru Syau, Churn-Jung Liau
Rok vydání:	2021
Předmět:	Algebra and Number Theory Computational Theory and Mathematics Rough set Decision table Algorithm Information Systems Theoretical Computer Science Variable precision Mathematics
Zdroj:	Fundamenta Informaticae. 179:75-92
ISSN:	1875-8681 0169-2968
DOI:	10.3233/fi-2021-2014
Popis:	We present variable precision generalized rough set approach to characterize incomplete decision tables. We show how to determine the discernibility threshold for a reflexive relational decision system in the variable precision generalized rough set model. We also point out some properties of positive regions and prove a statement of the necessary condition for weak consistency of an incomplete decision table. We present two examples to illustrate the results obtained in this paper.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::e54b6c034433ce0e997faabc543167ec https://doi.org/10.3233/fi-2021-2014 Zobrazit plný text záznamu