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

A. Nureize, J. Watada

    Research output: Chapter in Book/Report/Conference proceedingConference 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 languageEnglish
    Title of host publication2008 IEEE International Conference on Industrial Engineering and Engineering Management, IEEM 2008
    Pages486-490
    Number of pages5
    DOIs
    Publication statusPublished - 2008
    Event2008 IEEE International Conference on Industrial Engineering and Engineering Management, IEEM 2008 - Singapore
    Duration: 2008 Dec 82008 Dec 11

    Other

    Other2008 IEEE International Conference on Industrial Engineering and Engineering Management, IEEM 2008
    CitySingapore
    Period08/12/808/12/11

    Fingerprint

    Palm oil
    Fruits
    Inspection
    Agricultural products
    Crops
    Evaluation model
    Grading
    Fuzzy regression
    Fruit
    Evaluation

    Keywords

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

    ASJC Scopus subject areas

    • Management Information Systems
    • Industrial and Manufacturing Engineering

    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 (pp. 486-490). [4737916] https://doi.org/10.1109/IEEM.2008.4737916

    A fuzzy regression approach to hierarchical evaluation model for oil palm grading. / Nureize, A.; Watada, J.

    2008 IEEE International Conference on Industrial Engineering and Engineering Management, IEEM 2008. 2008. p. 486-490 4737916.

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

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