A fuzzy regression approach to hierarchical evaluation model for oil palm grading

Measurement of quality is an important task in the evaluation of agricultural products. The inspection process is normally pursued on visual inspection basis according to the ripeness standards of the crop, and this grading is subject to expert knowledge and interpretation. Therefore, the quality in...

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Bibliographic Details
Published in2008 IEEE International Conference on Industrial Engineering and Engineering Management pp. 486 - 490
Main Authors Nureize, A., Watada, J.
Format Conference Proceeding
LanguageEnglish
Japanese
Published IEEE 01.12.2008
Subjects
Agricultural products
Crops
Decision making
fuzzy hierarchical model
Fuzzy regression analysis
Fuzzy systems
Humans
Inspection
Milling machines
multicriterion
oil palm grading
Petroleum industry
Production systems
Regression analysis
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ISBN9781424426294
1424426294
ISSN2157-3611
DOI10.1109/IEEM.2008.4737916

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Summary:Measurement of quality is an important task in the evaluation of agricultural products. The inspection process is normally pursued on visual inspection basis according to the ripeness standards of the crop, and this grading is subject to expert knowledge and interpretation. Therefore, the quality inspection process of fruits needs to be conducted properly to ensure that good quality fruit bunches is selected for production. Moreover, it needs to be considered during the evaluation that human subjective judgments make the fruit grading inexact. Hence, the objectives of this paper are to build a fuzzy hierarchical evaluation model that characterizes criteria of oil palm fruits, and 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.
ISBN:9781424426294
1424426294
ISSN:2157-3611
DOI:10.1109/IEEM.2008.4737916