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

A. Nureize*, J. Watada

*Corresponding author for this work

    Research output: Contribution to journalArticlepeer-review

    18 Citations (Scopus)


    Measurement of quality is an important task in the evaluation of agricultural products and plays a pivotal role in agricultural production. The inspection process normally involves a visual examination according to the ripeness standards of crops, 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 high-quality fruit bunches are selected for production. However, human subjective judgments during the evaluation make the fruit grading inexact. The objectives of this paper are to build a fuzzy hierarchical evaluation model that characterises the criteria of oil palm fruits to decide the fuzzy weights of these criteria based on a fuzzy regression model, and to help inspectors conduct a proper total evaluation. A numerical example is included to illustrate the computational process of the proposed model.

    Original languageEnglish
    Pages (from-to)105-122
    Number of pages18
    JournalFuzzy Optimization and Decision Making
    Issue number1
    Publication statusPublished - 2010 Mar


    • Fuzzy hierarchical model
    • Fuzzy regression analysis
    • Multicriterion
    • Oil palm fruit grading

    ASJC Scopus subject areas

    • Artificial Intelligence
    • Logic
    • Software


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