An Integrated Fuzzy-Rule and Case-Based Reasoning System for Enhanced Automobile Maintenance and Repair
Journal of Engineering Research and Reports · pp. 433–445 · Published 17 Aug 2024
10.9734/jerr/2024/v26i81256Abstract
Automated systems have become essential in assisting motorists with vehicle maintenance and repair, yet many still require technician intervention for output validation. This study introduces a novel framework for integrating fuzzy logic with case-based reasoning (CBR) to enhance the reliability of such systems, especially in handling ambiguous cases. The system efficiently retrieves similar cases from a comprehensive case base, applying proven solutions to new problems. In scenarios where no exact match is found, fuzzy logic approximates a viable solution. We tested this framework on 134 real-world cases from Akwa Ibom Transport Company, demonstrating its effectiveness in resolving vehicle issues by leveraging and approximating solutions. This research significantly advances the accuracy and reliability of automated vehicle maintenance systems, offering a more autonomous approach to diagnostics.
Cited by 1
1 citation reported by external sources — individual citing-article records aren't available to list yet.
Related research
- Age and Sex as Risk Factors for Lung Cancer in Setif Region - Algeria: Fuzzy Inference Modeling — shares topic coverage
- Diagnosing Hepatitis Disease by Using Fuzzy Hopfield Neural Network — shares topic coverage
- Automated Detection of Breast Cancer’s Indicators in Mammogram via Image Processing Techniques — shares topic coverage
- Pan Evaporation Estimation Using Artificial Neural Network (ANN) and Fuzzy Logic Models for Raichur Region, Karnataka: A Case Study — shares topic coverage
- PWM with Three Intervals and Fuzzy Logic Control Technique for Matrix Converter Fed Induction Motor — shares topic coverage
Article metrics
Real usage data collected on this platform.
0
Page views
0
PDF downloads
0
Outbound clicks
1
Citations
Views by country
Approximate, from request IP at view time — not citizenship or institution. Countries with fewer than 5 views are grouped as "Other".
No views recorded yet.
Traffic sources
Referring site, by host.
No traffic recorded yet.
Views and downloads exclude known bots/crawlers. Citations combines this platform's own DOI-resolved index with each external source's own reported total — see Cited by above for individually listed citing works. Last refreshed 0 seconds ago.