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  4. Multi-criteria fuzzy regression model for evaluating oil palm grading
 
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Multi-criteria fuzzy regression model for evaluating oil palm grading

Journal
Proceedings of the International Conference on Man-Machine Systems (ICoMMS 2009)
Date Issued
2009-10-11
Author(s)
A. Nureize
Waseda University, Japan
J. Watada
Waseda University, Japan
Handle (URI)
https://hdl.handle.net/20.500.14170/16104
Abstract
Measurement of quality is an important task in the evaluation of agricultural products. A higher quality of raw input material produces a higher quantity and quality of end products. Therefore, in the palm oil production, the quality inspection process of fruits needs to be conducted properly to ensure that high-quality fruit bunches are selected. Additionally, human subjective judgments during the evaluation make the fruit grading inexact. Thus, the objectives of this paper is to build a fuzzy multi-criteria evaluation model that characterises the criteria of oil palm fruits to decide the fuzzy weights of these criteria based on a fuzzy regression model. A numerical example is included to illustrate the computational process of the proposed model.
Subjects
  • Multi-criteria evalua...

  • Fuzzy regression anal...

  • Oil palm fruit gradin...

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Multi-criteria fuzzy regression model for evaluating oil palm grading.pdf (83.75 KB) Copyright transfer agreement.pdf (200.56 KB)
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