The rough set theory and applications

Chengdong Wu*, Yong Yue, Mengxin Li, Osei Adjei

*Corresponding author for this work

Research output: Contribution to journalReview articlepeer-review

43 Citations (Scopus)

Abstract

This paper presents a comprehensive review of the available literature on applications of the rough set theory. Concepts of the rough set theory are discussed for approximation, dependence and reduction of attributes, decision tables and decision rules. The applications of rough sets are discussed in pattern recognition, information processing, business and finance, industry, environment engineering, medical diagnosis and medical data analysis, system fault diagnosis and monitoring and intelligent control systems. Development trends and future efforts are outlined. An extensive list of references is also provided to encourage interested readers to pursue further investigations.

Original languageEnglish
Pages (from-to)488-511
Number of pages24
JournalEngineering Computations (Swansea, Wales)
Volume21
Issue number5
DOIs
Publication statusPublished - 2004
Externally publishedYes

Keywords

  • Approximation theory
  • Decision theory
  • Set theory

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