Fuzzy evaluation for an intelligent air-cushion tracked vehicle performance investigation
This paper presents the fuzzy logic expert system (FLES) for an intelligent air-cushion tracked vehicle performance investigation operating on swamp peat terrain. Compared with traditional logic model, fuzzy logic is more efficient in linking the multiple units to a single output and is invaluable s...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English English |
| Published: |
Elsevier Ltd.
2011
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| Online Access: | http://irep.iium.edu.my/6210/ http://irep.iium.edu.my/6210/1/Terramechanics.pdf http://irep.iium.edu.my/6210/4/IACTV-_2012.pdf |
| _version_ | 1848776626875138048 |
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| author | Hossain, Altab Rahman, Mohammed Ataur Mohiuddin, A. K. M. |
| author_facet | Hossain, Altab Rahman, Mohammed Ataur Mohiuddin, A. K. M. |
| author_sort | Hossain, Altab |
| building | IIUM Repository |
| collection | Online Access |
| description | This paper presents the fuzzy logic expert system (FLES) for an intelligent air-cushion tracked vehicle performance investigation operating on swamp peat terrain. Compared with traditional logic model, fuzzy logic is more efficient in linking the multiple units to a single output and is invaluable supplements to classical hard computing techniques. Therefore, the main purpose of this study is to investigate the relationship between vehicle working parameters and performance characteristics, and to evaluate how fuzzy logic expert system plays an important role in prediction of vehicle performance. Experimental values are taken in the swamp peat terrain for vehicle performance investigation. In this paper, a fuzzy logic expert system model, based on Mamdani approach, is developed to predict the tractive efficiency and power consumption. Verification of the developed fuzzy logic model is carried out through various numerical error criteria. For all parameters, the relative error of predicted values are found to be less than the acceptable limits (10%) and goodness of fit of the predicted values are found to be close to 1.0 as expected and hence shows the good performance of the developed system. |
| first_indexed | 2025-11-14T14:33:05Z |
| format | Article |
| id | iium-6210 |
| institution | International Islamic University Malaysia |
| institution_category | Local University |
| language | English English |
| last_indexed | 2025-11-14T14:33:05Z |
| publishDate | 2011 |
| publisher | Elsevier Ltd. |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | iium-62102014-06-04T16:16:24Z http://irep.iium.edu.my/6210/ Fuzzy evaluation for an intelligent air-cushion tracked vehicle performance investigation Hossain, Altab Rahman, Mohammed Ataur Mohiuddin, A. K. M. T Technology (General) This paper presents the fuzzy logic expert system (FLES) for an intelligent air-cushion tracked vehicle performance investigation operating on swamp peat terrain. Compared with traditional logic model, fuzzy logic is more efficient in linking the multiple units to a single output and is invaluable supplements to classical hard computing techniques. Therefore, the main purpose of this study is to investigate the relationship between vehicle working parameters and performance characteristics, and to evaluate how fuzzy logic expert system plays an important role in prediction of vehicle performance. Experimental values are taken in the swamp peat terrain for vehicle performance investigation. In this paper, a fuzzy logic expert system model, based on Mamdani approach, is developed to predict the tractive efficiency and power consumption. Verification of the developed fuzzy logic model is carried out through various numerical error criteria. For all parameters, the relative error of predicted values are found to be less than the acceptable limits (10%) and goodness of fit of the predicted values are found to be close to 1.0 as expected and hence shows the good performance of the developed system. Elsevier Ltd. 2011 Article PeerReviewed application/pdf en http://irep.iium.edu.my/6210/1/Terramechanics.pdf application/pdf en http://irep.iium.edu.my/6210/4/IACTV-_2012.pdf Hossain, Altab and Rahman, Mohammed Ataur and Mohiuddin, A. K. M. (2011) Fuzzy evaluation for an intelligent air-cushion tracked vehicle performance investigation. Journal of Terramechanics. ISSN 0022-4898 http://www.sciencedirect.com/science/article/pii/S0022489811000577 DOI: 10.1016/j.jterra.2011.08.002 |
| spellingShingle | T Technology (General) Hossain, Altab Rahman, Mohammed Ataur Mohiuddin, A. K. M. Fuzzy evaluation for an intelligent air-cushion tracked vehicle performance investigation |
| title | Fuzzy evaluation for an intelligent air-cushion tracked vehicle performance investigation |
| title_full | Fuzzy evaluation for an intelligent air-cushion tracked vehicle performance investigation |
| title_fullStr | Fuzzy evaluation for an intelligent air-cushion tracked vehicle performance investigation |
| title_full_unstemmed | Fuzzy evaluation for an intelligent air-cushion tracked vehicle performance investigation |
| title_short | Fuzzy evaluation for an intelligent air-cushion tracked vehicle performance investigation |
| title_sort | fuzzy evaluation for an intelligent air-cushion tracked vehicle performance investigation |
| topic | T Technology (General) |
| url | http://irep.iium.edu.my/6210/ http://irep.iium.edu.my/6210/ http://irep.iium.edu.my/6210/ http://irep.iium.edu.my/6210/1/Terramechanics.pdf http://irep.iium.edu.my/6210/4/IACTV-_2012.pdf |