Modelling of palm oil production using fuzzy expert system

Lily Amelia, Dzuraidah Abd. Wahab, A. Hassan

Research output: Contribution to journalArticle

11 Citations (Scopus)

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.

Original languageEnglish
Pages (from-to)8735-8749
Number of pages15
JournalExpert Systems with Applications
Volume36
Issue number5
DOIs
Publication statusPublished - Jul 2009

Fingerprint

Palm oil
Expert systems
Processing
MATLAB
Fuzzy logic
Gravitation
Mathematical models

Keywords

  • Centroid of area method
  • Crude palm oil processing
  • Fuzzy expert system
  • Mamdani fuzzy rules

ASJC Scopus subject areas

  • Artificial Intelligence
  • Computer Science Applications
  • Engineering(all)

Cite this

Modelling of palm oil production using fuzzy expert system. / Amelia, Lily; Abd. Wahab, Dzuraidah; Hassan, A.

In: Expert Systems with Applications, Vol. 36, No. 5, 07.2009, p. 8735-8749.

Research output: Contribution to journalArticle

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