The OR Data Complement Method for Incomplete Decision Tables

Autor:	Yafeng Yang, Bao-Xiang Liu, Jun Xu
Rok vydání:	2010
Předmět:	Reduction (complexity) Computer science Table (database) Value (computer science) Rough set Data mining Decision table computer.software_genre Missing data computer Knowledge acquisition Complement (complexity)
Zdroj:	Communications in Computer and Information Science ISBN: 9783642163357 ICICA (1)
DOI:	10.1007/978-3-642-16336-4_48
Popis:	Uncertain information can not be processed by Pawlak rough set theory, and the missing data must be completed for applying in knowledge acquisition. In this paper, OR transposed table was proposed based on attribute reduction mentality to target incomplete decision tables. OR value can be selected from values of attribute by transforming information table into OR transposed table and using attribute reduction mentality, therefore the incomplete decision tables were transformed into complete decision table. And finally the example is analyzed.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::0c1fbb8a687806d976238eee7dae4bc7 https://doi.org/10.1007/978-3-642-16336-4_48 Zobrazit plný text záznamu