Speedup of OWCTY Model Checking Algorithm Using Strongly Connected Components

In this paper we present a CTL-like logic which is interpreted over the state spaces of Coloured Petri Nets. The logic has been designed to express properties of both state and transition information. This is possible because the state spaces are labelled transition systems. We compare the expressiveness of our logic with CTL's. Then, we present a model checking algorithm which for efficiency reasons utilises strongly connected components and formula reduction rules. We present empirical results for non-trivial examples and compare the performance of our algorithm with that of Clarke, Emerson, and Sistla.

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A Comparative Study of Algorithm for Computing Strongly Connected Components

2017 IEEE 15th Intl Conf on Dependable, Autonomic and Secure Computing, 15th Intl Conf on Pervasive Intelligence and Computing, 3rd Intl Conf on Big Data Intelligence and Computing and Cyber Science and Technology Congress(DASC/PiCom/DataCom/CyberSciTech) ◽

10.1109/dasc-picom-datacom-cyberscitec.2017.85 ◽

2017 ◽

Cited By ~ 2

Author(s):

D. Frank Hsu ◽

Xiaojie Lan ◽

Gabriel Miller ◽

David Baird

Keyword(s):

Comparative Study ◽

Connected Components ◽

Strongly Connected Components ◽

Strongly Connected

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ENHANCING ADEQUACY OF GRADING STUDY PROJECTS ON THE BASE OF PARAMETRIC RELAXATION OF PAIRWISE COMPARISONS

Journal of Automation and Information sciences ◽

10.34229/0572-2691-2021-1-11 ◽

2021 ◽

Vol 1 ◽

pp. 122-133

Author(s):

Alexey V. Oletsky ◽

◽

Mikhail F. Makhno ◽

◽

Keyword(s):

Center Of Mass ◽

Estimation Algorithm ◽

Relaxation Parameter ◽

Connected Components ◽

Pairwise Comparisons ◽

Strongly Connected Components ◽

Standard Scale ◽

Relaxation Parameters ◽

Strongly Connected ◽

The One

A problem of automated assessing of students’ study projects is regarded. A heuristic algorithm based on fuzzy estimating of projects and on pairwise comparisons among them is proposed. For improving adequacy and naturalness of grades, an approach based on introducing a parameter named relaxation parameter was suggested in the paper. This enables to reduce the spread between maximum and minimum values of projects in comparison with the one in the standard scale suggested by T. Saati. Reasonable values of this parameter were selected experimentally. For estimating the best alternative, a center of mass of a fuzzy max-min composition should be calculated. An estimation algorithm for a case of non-transitive preferences based on getting strongly connected components and on pairwise comparisons between them is also suggested. In this case, relaxation parameters should be chosen separately for each subtask. So the combined technique of evaluating alternatives proposed in the paper depends of the following parameters: relaxation parameters for pairwise comparisons matrices within each strongly connected components; relaxation parameter for pairwise comparisons matrices among strongly connected components; membership function for describing the best alternative.

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