• DocumentCode
    506896
  • Title

    Computing Minimal Diagnosis with Binary Decision Diagrams Algorithm

  • Author

    Wang Kun ; Li Zhan-shan ; Ai Yang ; Zhang Yong-gang

  • Author_Institution
    Key Lab. of Symbolic Comput. & Knowledge Eng. for Minist. of Educ., Jilin Univ., Changchun, China
  • Volume
    1
  • fYear
    2009
  • fDate
    14-16 Aug. 2009
  • Firstpage
    145
  • Lastpage
    149
  • Abstract
    In this paper we propose an algorithm of computing minimal diagnosis based on BDD (Binary Decision Diagram). First we give the concept of disjunction equations, and map the collection of conflict sets into disjunction equations, then we compile the system into a BDD, further we compute the minimal hitting sets by solving the BDD and minimizing hitting sets. The reliability and completeness of the algorithm are proved. Variable ordering and construct controlling of BDD are used to further reduce the size of final BDD and the number of non-minimal hitting sets to be generated. The efficiency of computing minimal hitting sets is highly improved. Experimental results show that the algorithm isn´t restricted by the structure of system and conflict sets, compared with three algorithms in the references, it can generate all the minimal hitting sets, and it works well in random circumstances.
  • Keywords
    binary decision diagrams; diagnostic reasoning; binary decision diagrams; disjunction equations concept; minimal diagnosis computing; minimal hitting sets computing; Binary decision diagrams; Boolean functions; Data structures; Equations; Fault diagnosis; Fuzzy systems; Knowledge engineering; Laboratories; Size control; Systems engineering education; binary decision diagrams; disjunction equation; minimal hitting set; model-based diagnosis;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Fuzzy Systems and Knowledge Discovery, 2009. FSKD '09. Sixth International Conference on
  • Conference_Location
    Tianjin
  • Print_ISBN
    978-0-7695-3735-1
  • Type

    conf

  • DOI
    10.1109/FSKD.2009.284
  • Filename
    5358631