• DocumentCode
    684267
  • Title

    Definite reducts in ordered decision information systems

  • Author

    Yanyong Guan ; Hongkai Wang ; Wenjuan Chen ; Bin Chen

  • Author_Institution
    Sch. of Math. Sci., Jinan Univ., Guangzhou, China
  • fYear
    2013
  • fDate
    19-21 Oct. 2013
  • Firstpage
    91
  • Lastpage
    95
  • Abstract
    In ordered decision information systems, by taking the interval as basic knowledge granules, lower and upper approximations of unions of decision classes can be defined, and interval decision rules can be induced. Definite interval decision rules with univocal decision, induced by intervals in lower approximations of every decision class, can be used in classification for ordinal data. To the end of optimizing all the definite interval decision rules, definite positive region is defined and the concept of definite reduct is proposed. Discernibility function is constructed and used to compute definite reducts by Boolean reasoning technique.
  • Keywords
    Boolean functions; decision theory; inference mechanisms; pattern classification; rough set theory; Boolean reasoning technique; approximations; decision classes; definite interval decision rules; definite positive region; definite reduct; discernibility function; dominance-based rough set approach; knowledge granules; ordered decision information systems; ordinal data classification; univocal decision; Europe; Lead; Probabilistic logic;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Advanced Computational Intelligence (ICACI), 2013 Sixth International Conference on
  • Conference_Location
    Hangzhou
  • Print_ISBN
    978-1-4673-6341-9
  • Type

    conf

  • DOI
    10.1109/ICACI.2013.6748480
  • Filename
    6748480