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
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;
Conference_Titel :
Fuzzy Systems and Knowledge Discovery, 2009. FSKD '09. Sixth International Conference on
Conference_Location :
Tianjin
Print_ISBN :
978-0-7695-3735-1
DOI :
10.1109/FSKD.2009.284