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

Nureize, Arbaiy and Watada, Junzo (2010) A fuzzy regression approach to a hierarchical evaluation model for oil palm fruit grading. Fuzzy Optimization and Decision Making, 9 (1). pp. 105-122. (Unpublished)

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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.

Item Type: Article
Uncontrolled Keywords: fuzzy hierarchical model; fuzzy regression analysis; multicriterion; oil palm fruit grading
Subjects: S Agriculture > SB Plant culture
Depositing User: Normajihan Abd. Rahman
Date Deposited: 14 Aug 2018 01:33
Last Modified: 14 Aug 2018 01:33
URI: http://eprints.uthm.edu.my/id/eprint/3771
Statistic Details: View Download Statistic

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