Qualitative Reasoning for Quantitative Simulation
Qualitative simulation is a well-known reasoning technique that involves the use of simulation technologies. Reasoning is made to determine qualitative values and change directions of system variables, and it is done for each time point and time interval following the time point. Qualitative variabl...
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| Format: | Article |
| Language: | English |
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Wiley
2018-01-01
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| Series: | Modelling and Simulation in Engineering |
| Online Access: | http://dx.doi.org/10.1155/2018/7842402 |
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| _version_ | 1832552293004738560 |
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| author | Mehmet Fatih Hocaoğlu |
| author_facet | Mehmet Fatih Hocaoğlu |
| author_sort | Mehmet Fatih Hocaoğlu |
| collection | DOAJ |
| description | Qualitative simulation is a well-known reasoning technique that involves the use of simulation technologies. Reasoning is made to determine qualitative values and change directions of system variables, and it is done for each time point and time interval following the time point. Qualitative variables possess continuous qualitative value sets that are discretized by landmark points. Qualitative simulation uses qualitative time representation and its quantitative value is of no interest. The main purpose of this study was to develop a technique to determine time steps for a quantitative simulation under guidance of qualitative information. The proposed technique determined time advances using qualitative and quantitative information together to obtain a robust time step as wide as possible for simulation time advances. For this purpose, sign algebraic properties and derivation roots of quantitative equations and qualitative variable values with their change directions were used to compute time advances. In the approach, qualitative simulation determined landmark points to be advanced, and quantitative simulation calculated the duration required. Using the proposed algorithm, the simulation is advanced instead of iterating simulation time for a predefined time step and checking whether or not there is any activity in the interval, directly to the time points that are qualitatively different. |
| format | Article |
| id | doaj-art-567c8b5fb4b54292bd76983832eabc2c |
| institution | Kabale University |
| issn | 1687-5591 1687-5605 |
| language | English |
| publishDate | 2018-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Modelling and Simulation in Engineering |
| spelling | doaj-art-567c8b5fb4b54292bd76983832eabc2c2025-02-03T05:59:07ZengWileyModelling and Simulation in Engineering1687-55911687-56052018-01-01201810.1155/2018/78424027842402Qualitative Reasoning for Quantitative SimulationMehmet Fatih Hocaoğlu0Department of Industrial Engineering, Faculty of Engineering and Natural Sciences, Istanbul Medeniyet University, Istanbul, TurkeyQualitative simulation is a well-known reasoning technique that involves the use of simulation technologies. Reasoning is made to determine qualitative values and change directions of system variables, and it is done for each time point and time interval following the time point. Qualitative variables possess continuous qualitative value sets that are discretized by landmark points. Qualitative simulation uses qualitative time representation and its quantitative value is of no interest. The main purpose of this study was to develop a technique to determine time steps for a quantitative simulation under guidance of qualitative information. The proposed technique determined time advances using qualitative and quantitative information together to obtain a robust time step as wide as possible for simulation time advances. For this purpose, sign algebraic properties and derivation roots of quantitative equations and qualitative variable values with their change directions were used to compute time advances. In the approach, qualitative simulation determined landmark points to be advanced, and quantitative simulation calculated the duration required. Using the proposed algorithm, the simulation is advanced instead of iterating simulation time for a predefined time step and checking whether or not there is any activity in the interval, directly to the time points that are qualitatively different.http://dx.doi.org/10.1155/2018/7842402 |
| spellingShingle | Mehmet Fatih Hocaoğlu Qualitative Reasoning for Quantitative Simulation Modelling and Simulation in Engineering |
| title | Qualitative Reasoning for Quantitative Simulation |
| title_full | Qualitative Reasoning for Quantitative Simulation |
| title_fullStr | Qualitative Reasoning for Quantitative Simulation |
| title_full_unstemmed | Qualitative Reasoning for Quantitative Simulation |
| title_short | Qualitative Reasoning for Quantitative Simulation |
| title_sort | qualitative reasoning for quantitative simulation |
| url | http://dx.doi.org/10.1155/2018/7842402 |
| work_keys_str_mv | AT mehmetfatihhocaoglu qualitativereasoningforquantitativesimulation |