Skip to main content
SpringerLink
Log in

Variable Precision Rough Set Approach to Multiple Decision Tables

  • Conference paper
Rough Sets, Fuzzy Sets, Data Mining, and Granular Computing (RSFDGrC 2005)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 3641))

Abstract

In this paper, we study variable precision rough set models based on multiple decision tables. The models can control the admissible level of classification error in each table, the ratio of supporting decision tables to all decision tables and the ratio of opposing decision tables to all decision tables. As the classical rough set model plays a key role in analysis of decision tables such as reduction, rule induction, etc., the proposed variable precision rough set models will play a key role in analysis of multiple decision tables.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Log in via an institution
Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 84.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 109.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. Pawlak, Z.: Rough Sets. International Journal of Information Computer Science 11(5), 341–356 (1982)

    Article  MATH  MathSciNet  Google Scholar 

  2. Enomoto, Y., Harada, T., Inoue, T., Mori, N.: Analysis of Choice for Audio Products Using Annexation Reduct System (in Japanese). The Bulletin of Japanese Society for the Science of Design 49(5), 11–20 (2003)

    Google Scholar 

  3. Itou, K., Enomoto, Y., Harada, T.: Influence of Annexation Order to Plural Annexation Condition Parts of Decision Rules (in Japanese). In: Proceedings of 19th Fuzzy System Symposium, pp. 529–532 (2003)

    Google Scholar 

  4. Mori, N.: Rough Set and Kansei Engineering (in Japanese). Journal of Japan Society for Fuzzy Theory and Systems 13(6), 600–607 (2001)

    Google Scholar 

  5. Inuiguchi, M., Suzuki, J., Miyajima, T.: Toward Rule Extraction from Multiple Decision Tables Based on Rough Set Theory. In: Proceedings of 15th Mini-Euro Conference on Managing Uncertainty in Decision Support Models, (2004) CD-ROM

    Google Scholar 

  6. Shan, N., Ziarko, W.: Data-based Acquisition and Incremental Modification of Classification Rules. Computational Intelligence 11, 357–370 (1995)

    Article  Google Scholar 

  7. Ziarko, W.: Variable Precision Rough Set Model. Journal of Computer and System Sciences 46, 39–59 (1993)

    Article  MATH  MathSciNet  Google Scholar 

Download references

Author information

Authors and Affiliations

  1. Graduate School of Engineering Science, Osaka University, Toyonaka, Osaka, 560-8531, Japan

    Masahiro Inuiguchi

  2. Graduate School of Engineering, Osaka University, Suita, Osaka, 565-0871, Japan

    Takuya Miyajima

Authors
  1. Masahiro Inuiguchi
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Takuya Miyajima
    View author publications

    You can also search for this author in PubMed Google Scholar

Editor information

Editors and Affiliations

  1. Department of Computer Science, University of Regina, Regina, SK, S4S 0A2 Canada, Polish-Japanese Institute of Information Technology, Koszykowa 86, 02-008 Warsaw, P.O. Box, Poland

    Dominik Ślęzak

  2. School of Information Science and Technology, Southwest Jiaotong University, 610031, Chengdu, P.R. China

    Guoyin Wang

  3. Institute of Mathematics, Warsaw University, Banacha 2, 02-097, Warsaw, Poland

    Marcin Szczuka

  4. Department of Computer Science, Brock University, St. Catharines, L2S 3A1, Ontario, Canada

    Ivo Düntsch

  5. Department of Computer Science, University of Regina, S4S 0A2, Regina, Saskatchewan, Canada

    Yiyu Yao

Rights and permissions

Reprints and permissions

Copyright information

© 2005 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Inuiguchi, M., Miyajima, T. (2005). Variable Precision Rough Set Approach to Multiple Decision Tables. In: Ślęzak, D., Wang, G., Szczuka, M., Düntsch, I., Yao, Y. (eds) Rough Sets, Fuzzy Sets, Data Mining, and Granular Computing. RSFDGrC 2005. Lecture Notes in Computer Science(), vol 3641. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11548669_32

Download citation

  • DOI: https://doi.org/10.1007/11548669_32

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-28653-0

  • Online ISBN: 978-3-540-31825-5

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics

Search

Navigation