Art

J-GLOBAL ID：201802250762049095   Reference number：18A0948063

Knowledge Acquisition from Rough Sets Using Merged Decision Rules

併合決定ルールを用いたラフ集合からの知識獲得

Author (2)： MATSUMOTO Yoshiyuki (Shimonoseki City Univ., Yamaguchi, JPN) ,  WATADA Junzo (Petronas Univ. Technol., Perak Darul Ridzuan, MYS)
Material： Journal of Advanced Computational Intelligence and Intelligent Informatics  (J Adv Comput Intell Intell Inform)
Volume： 22  Issue： 3  Page： 404-410  Publication year： May. 20, 2018 
JST Material Number： F1398A  ISSN： 1343-0130  Document type： Article
Article type： 原著論文  Country of issue： Japan (JPN)  Language： ENGLISH (EN)

Thesaurus term： *rule ,  *rough set ,  *knowledge acquisition ,  database ,  system ,  data analysis ,  data ,  *ratio
Semi thesaurus term： *decision rule ,  Web-based system ,  object ,  time series data ,  *exchange rate

JST classification (2)： Database systems  (JD03030U) ,  Artificial intelligence  (JE08000Z)

Reference (21)：

• Y. Matsumoto and J. Watada, “Improvement of Chaotic Short-term Forecasting on Fuzzy Reasoning and Tuning on Genetic Algorithm,” J. of Japan Society of Fuzzy Theory and Intelligent Informatics, Vol.16, No.1, pp. 44-52, 2004.
• Z. Pawlak, “Rough Sets,” Int. J. of Computer and Information Science, Vol.11, No.5, pp. 341-356, 1982.
• Z. Pawlak, “Rough Sets - Theoretical Aspects of Reasoning about Data,” Kluwer Academic Publishers, 1991.
• C. Goh and R. Law, “Incorporation the rough sets theory,” Chemometrics and Intelligent Laboratory Systems, Vol.47, No.1, pp. 1-16, 2003.
• B. Predki et al., “ROSE-Software Implementation of the rough set theory,” Rough Sets and Current Trends in Computing, Springer, pp. 605-608, 1998.

Terms in the title (4)： 併合 ,  ルール ,  ラフ集合 ,  知識獲得