Development of Excessive-Smoke-Emitting-Car Fault Diagnostic System (ESECFDS) based on Case-Base Reasoning (CBR) Methodology
2021 ◽
Vol 25
(1)
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pp. 75-95
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This paper proposes a diagnostic system, ESECFDS, to solve the problem of excessive smoke emission from a faulty car, based on Case-Based Reasoning (CBR) Methodology that accepts a user query as a new case, compares it with several stored cases in a Case-Base (CB) based on a similarity score using Jaccard Similarity method and provides feedback result to the user. The CBR cycle R4 Model of Aamodt and Plaza has been modified to R5 Model to improve the time complexity of the proposed algorithm of the system over the popular R4 Model.
2019 ◽
Vol 3
(2)
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pp. 126-132
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2020 ◽
Vol 6
(1)
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pp. 23
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2004 ◽
Vol 13
(01)
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pp. 237-254
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2019 ◽
Vol 18
(2)
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pp. 183
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2020 ◽
Vol 9
(1)
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pp. 45-50
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