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Fundamenta Informaticae is an international journal publishing original research results in all areas of theoretical computer science. Papers are encouraged contributing:
- solutions by mathematical methods of problems emerging in computer science
- solutions of mathematical problems inspired by computer science.
Topics of interest include (but are not restricted to): theory of computing, complexity theory, algorithms and data structures, computational aspects of combinatorics and graph theory, programming language theory, theoretical aspects of programming languages, computer-aided verification, computer science logic, database theory, logic programming, automated deduction, formal languages and automata theory, concurrency and distributed computing, cryptography and security, theoretical issues in artificial intelligence, machine learning, pattern recognition, algorithmic game theory, bioinformatics and computational biology, quantum computing, probabilistic methods, & algebraic and categorical methods.
Authors: Woźna, Bożena | Zbrzezny, Andrzej
Article Type: Research Article
Abstract: Bounded Model Checking (BMC) is one of the well known SAT based symbolic model checking techniques. It consists in searching for a counterexample of a particular length, and generating a propositional formula that is satisfiable iff such a counterexample exists. The BMC method is feasible for the various classes of temporal logic; in particular it is feasible for TECTL (the existential fragment of Time Computation Tree Logic) and Diagonal-free Timed Automata. The main contribution of the …paper is to show that the concept of Bounded Model Checking can be extended to deal with TECTL_{-G} properties of Diagonal Timed Automata. We have implemented our new BMC algorithm, and we present preliminary experimental results, which demonstrate the efficiency of the method. Show more
Citation: Fundamenta Informaticae, vol. 79, no. 1-2, pp. 229-256, 2007
Authors: Zhang, Wei-Guo | Wang, Ying-Luo
Article Type: Research Article
Abstract: In this paper, we introduce a new crisp possibilistic variance and a new crisp possibilistic covariance of fuzzy numbers, which are different from those introduced by Carlsson and Fullér. We show that the possibilistic variance and covariance preserve many properties of variance and covariance in probability theory. Furthermore, we investigate the relationship between several crisp possibilistic variances and covariances of fuzzy numbers.
Keywords: Fuzzy number, Possibility theory, Possibilistic variance, Possibilistic covariance
Citation: Fundamenta Informaticae, vol. 79, no. 1-2, pp. 257-263, 2007
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