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

A. Nureize, J. Watada

    研究成果: Conference contribution

    1 被引用数 (Scopus)

    抄録

    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.

    本文言語English
    ホスト出版物のタイトル2008 IEEE International Conference on Industrial Engineering and Engineering Management, IEEM 2008
    ページ486-490
    ページ数5
    DOI
    出版ステータスPublished - 2008
    イベント2008 IEEE International Conference on Industrial Engineering and Engineering Management, IEEM 2008 - Singapore
    継続期間: 2008 12 82008 12 11

    Other

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

    ASJC Scopus subject areas

    • 管理情報システム
    • 産業および生産工学

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