Quality Estimation Models of Fresh Fish based on Decisions Made by Highly Skilled Fish Market Auctioneers
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- NAKAMURA Makoto
- National Fisheries University, Graduate School of Fisheries Science
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- OHTA Hiromitsu
- National Fisheries University, Dept. of Ocean Mechanical Engineering
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- WATANABE Toshiaki
- National Fisheries University, Dept. of Ocean Mechanical Engineering
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- TOKUNAGA Kazuhiro
- National Fisheries University, Dept. of Ocean Mechanical Engineering
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- KAWAGUCHI Kentaro
- National Fisheries University, Graduate School of Fisheries Science
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- MAEDA Toshimichi
- National Fisheries University, Graduate School of Fisheries Science
Bibliographic Information
- Other Title
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- 習熟した競り人による鮮魚の品質評価モデル
- シュウジュク シタ セリ ジン ニ ヨル センギョ ノ ヒンシツ ヒョウカ モデル
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Abstract
<p>This study focused on improving quality control of marine products and their distribution. Discrimination models were designed and calibrated based on the quality assignments made by fish market auctioneers. Eight kinds of fish caught in the waters off Yamaguchi Prefecture were graded into five classes by experienced auctioneers. By statistically analyzing the results of the auctioneers’ evaluations and the relationship between the color of fish skin and the freshness of fish meat, it was found that four-color indexes for each type of fish species accurately reflected the auctioneers’ evaluations and the degree of meat freshness. Fuzzy inference models constructed from these sets of indexes, as antecedent variables of fuzzy rules, were evaluated. The results of the model simulations and expert evaluations revealed that the models were robust, agreeing with the quality assignments of the auctioneers by more than 84.6%.</p>
Journal
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- The Japanese Journal of Ergonomics
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The Japanese Journal of Ergonomics 53 (4), 107-115, 2017-08-20
Japan Ergonomics Society
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Details 詳細情報について
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- CRID
- 1390001288116862464
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- NII Article ID
- 130007558423
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- NII Book ID
- AN00199371
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- ISSN
- 18842844
- 05494974
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- NDL BIB ID
- 028484735
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- Text Lang
- ja
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- Data Source
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- JaLC
- NDL
- Crossref
- CiNii Articles
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- Abstract License Flag
- Disallowed