• DocumentCode
    463396
  • Title

    Algorithm Studies of Rules Generation in CORS

  • Author

    Sun, Chengmin ; Liu, Dayou ; Fu, Chunxiao ; Sun, Shuyang

  • Author_Institution
    Coll. of Comput. Sci. & Technol., Jilin Univ., Changchun
  • Volume
    1
  • fYear
    2006
  • fDate
    17-19 July 2006
  • Firstpage
    572
  • Lastpage
    577
  • Abstract
    In containing order rough set methodology (CORS), ordered attribute `criterion´ is introduced. Criterion is related semantically with decision attributes, which results in producing more rational and significant rules utilizing dominance relations. In this paper, some terminologies and properties on rules or rules set, such as robust, minimal, complete are discussed, the state of art in algorithms on rules generation are analyzed, and algorithms GRs and IGRs are proposed. We compare these two algorithms by experiments in time complexity, rules count and accuracy. We find that GRs can generate all minimal rules, but time complexity is high and IGRs´ efficiency is better, but quality of rules are inferior to that of GRs. We also discuss the completeness of rules set and present a viewpoint that there are three hierarchies for completeness. In accuracy calculation, three formulas for accuracy calculation and two approaches for experimental test are given
  • Keywords
    computational complexity; decision making; operations research; rough set theory; containing order rough set; multicriteria decision analysis; rules generation; time complexity; Accuracy; Algorithm design and analysis; Approximation algorithms; Computer science; Educational institutions; Educational technology; Remuneration; Robustness; Sun; Terminology; Algorithm GRs; Algorithm IGRs; Completeness; Criteria; Dominance relation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Cognitive Informatics, 2006. ICCI 2006. 5th IEEE International Conference on
  • Conference_Location
    Beijing
  • Print_ISBN
    1-4244-0475-4
  • Type

    conf

  • DOI
    10.1109/COGINF.2006.365548
  • Filename
    4216465