A Robust Approach to Construction of Hierarchical Evaluation Model

DOI
  • Watada J.
    Graduate School of Information, Production and System, Waseda University
  • Nureize A.
    Graduate School of Information, Production and System, Waseda University
  • Yabuuchi Y.
    Faculty of Economics, Shimonoseki City University

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 robust 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.

収録刊行物

詳細情報 詳細情報について

  • CRID
    1390282680204619648
  • NII論文ID
    110008136477
  • DOI
    10.24466/pacbfsa.21.0_148
  • ISSN
    24242586
    13451510
  • 本文言語コード
    en
  • データソース種別
    • JaLC
    • CiNii Articles
  • 抄録ライセンスフラグ
    使用不可

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