Title :
Backtracking Search Algorithm for Satisfiability Degree Calculation
Author :
Yin, Chongyuan ; Luo, Guiming ; Hu, Pei
Author_Institution :
Sch. of Software, Tsinghua Univ., Beijing, China
Abstract :
Satisfiability degree can compensate for the deficiency of classical logics in representing uncertainty. As the calculation of the satisfiability degree is an NP-complete problem, it is necessary to construct some efficient algorithm. In this paper, an algorithm for computing the satisfiability degree of arbitrary propositional formula is proposed. It refers to and modifies the backtracking search algorithm used in the Boolean satisfiability problem (SAT), making optimizations by using heuristic strategy and intelligent analysis. Experimental results compare the time consumed by the basic enumeration algorithm with this algorithm, indicating that this algorithm is extremely effective for large formulas.
Keywords :
Boolean algebra; computability; computational complexity; search problems; Boolean satisfiability problem; NP-complete problem; arbitrary propositional formula; backtracking search algorithm; heuristic strategy; intelligent analysis; satisfiability degree calculation; Algorithm design and analysis; Artificial intelligence; Automatic control; Fuzzy logic; Fuzzy systems; Hidden Markov models; NP-complete problem; Probabilistic logic; Software algorithms; Uncertainty; backtracking search algorithm; conjunctive normal form (CNF); heuristic strategy; satisfiability degree;
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.2009.782