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

A. Nureize; J. Watada

doi:10.1109/IEEM.2008.4737916

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

A. Nureize^*, J. Watada

^*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

1 Citation (Scopus)

Abstract

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.

Original language	English
Title of host publication	2008 IEEE International Conference on Industrial Engineering and Engineering Management, IEEM 2008
Pages	486-490
Number of pages	5
DOIs	https://doi.org/10.1109/IEEM.2008.4737916
Publication status	Published - 2008
Event	2008 IEEE International Conference on Industrial Engineering and Engineering Management, IEEM 2008 - Singapore Duration: 2008 Dec 8 → 2008 Dec 11

Other

Other	2008 IEEE International Conference on Industrial Engineering and Engineering Management, IEEM 2008
City	Singapore
Period	08/12/8 → 08/12/11

Keywords

Decision making
Fuzzy hierarchical model
Fuzzy regression analysis
Multicriterion
Oil palm grading

ASJC Scopus subject areas

Management Information Systems
Industrial and Manufacturing Engineering

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10.1109/IEEM.2008.4737916

Cite this

Nureize, A & Watada, J 2008, A fuzzy regression approach to hierarchical evaluation model for oil palm grading. in 2008 IEEE International Conference on Industrial Engineering and Engineering Management, IEEM 2008., 4737916, pp. 486-490, 2008 IEEE International Conference on Industrial Engineering and Engineering Management, IEEM 2008, Singapore, 08/12/8. https://doi.org/10.1109/IEEM.2008.4737916

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abstract = "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.",

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AB - 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.

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KW - Fuzzy regression analysis

KW - Multicriterion

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ER -

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

Abstract

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Keywords

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