Modelling of palm oil production using fuzzy expert system |
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| Authors: | Lily Amelia D.A. Wahab A. Hassan |
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| Affiliation: | 1. Department of Mechanical Engineering, Neyshabur Branch, Islamic Azad University, Neyshabur, Iran;2. Young Researchers and Elite Club, Neyshabur Branch, Islamic Azad University, Neyshabur, Iran;3. Mechanical Engineering Department, Babol University of Technology, Babol, Iran;1. Department of Geoinformatics and Cartography, Institute of Geography and Regional Development, Faculty of Earth Science and Environmental Management, University of Wroc?aw, pl. Uniwersytecki 1, 50-137 Wroc?aw, Poland;2. Wroc?aw Centre for Networking and Supercomputing, Wroc?aw University of Technology, Wybrze?e Wyspiańskiego 27, 50-370 Wroc?aw, Poland;1. Research Institute of Business Analytics & Supply Chain Management, College of Management, Shenzhen University, Shenzhen, 518060, China;2. Edward P. Fitts Department of Industrial and Systems Engineering, North Carolina State University, Raleigh, NC, 27695-7906, USA;3. College of Information Science and Engineering, State Key Laboratory of Synthetical Automation for Process Industries, Northeastern University, Shenyang, Liaoning, 110819, China;4. School of Computer Science and Engineering, Northeastern University, Shenyang, Liaoning, 110819, China;1. Young Researchers and Elite Club, Gonabad Branch, Islamic Azad University, Gonabad, Iran;2. Department of Mechanical Engineering, Neyshabur Branch, Islamic Azad University, Neyshabur, Iran;3. Young Researchers and Elite Club, Neyshabur Branch, Islamic Azad University, Neyshabur, Iran;4. Department of Mechanical Engineering, School of Engineering, University of Tehran, Tehran, Iran |
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| Abstract: | 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. |
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