Modelling of palm oil production using fuzzy expert system
作者:
Highlights:
•
摘要
The production of crude palm oil and palm kernel is a complex problem due to the influence of processing variables and environmental factors. These processing variables influence the amount of crude palm oil and palm kernel losses during processing. Instead of mathematical model, fuzzy logic approach provides a simpler and easier mechanism to describe the relationships between the processing variables and the amount of crude palm oil and palm kernel losses. In this study, four fuzzy expert system models were developed for each palm oil processing station. An approximation of centre of gravity method for defuzzification is also proposed to enable the development of the model using Microsoft®Excel. For comparison purpose, the models were also developed using MATLAB®. Results obtained from the Excel model are found to be very close to the results from MATLAB.
论文关键词:Crude palm oil processing,Fuzzy expert system,Mamdani fuzzy rules,Centroid of area method
论文评审过程:Available online 24 December 2008.
论文官网地址:https://doi.org/10.1016/j.eswa.2008.12.012