Intelligent Prediction of Four-Wheeler Maintenance Problems by Fuzzy Techniques A Comparison between Petrol and Diesel Vehicles

摘要

The driving force for most of the industries is, to provide the best possible product solutions to the customers. In this regard, predicting the future requirements of the customer, and working in that direction well ahead of time, to meet the objectives of maximum customer satisfaction with minimum plant operation cost proves to be helpful in effective utilization of all the available and related resources. Decision making on the basis of approximate reasoning proves to be very much helpful in this regard for the better results. In this paper, Fuzzy Clustering Technique is used for decision-making, on the maintenance activities that are to be carried out on four wheelers. The continuous learning process makes the algorithm self-learning and intelligent in decision-making based on approximate reasoning.