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

A. Nureize, J. Watada

    Research output: Contribution to journalArticle

    15 Citations (Scopus)

    Abstract

    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
    Volume9
    Issue number1
    DOIs
    Publication statusPublished - 2010 Mar

    Fingerprint

    Fuzzy Regression
    Palm oil
    Evaluation Model
    Grading
    Fruit
    Hierarchical Model
    Fruits
    Inspection
    Evaluation
    Agricultural products
    Fuzzy Model
    Crops
    Regression Model
    Numerical Examples

    Keywords

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

    ASJC Scopus subject areas

    • Artificial Intelligence
    • Logic
    • Software

    Cite this

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

    In: Fuzzy Optimization and Decision Making, Vol. 9, No. 1, 03.2010, p. 105-122.

    Research output: Contribution to journalArticle

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