Application of the rough set theory to the analysis of food safety in fish processing

被引:5
作者
Wasikowska, Barbara [1 ]
Linowska, Angelika A. [2 ]
机构
[1] Univ Szczecin, Inst Econ & Finance, Adama Mickiewicza 64, PL-71101 Szczecin, Poland
[2] West Pomeranian Univ Technol Szczecin, Dept Hydrobiol Ichthyol & Biotechnol Breeding, Kazimierza Krolewicza 4, PL-71550 Szczecin, Poland
来源
KNOWLEDGE-BASED AND INTELLIGENT INFORMATION & ENGINEERING SYSTEMS (KSE 2021) | 2021年 / 192卷
关键词
prediction method; rough sets; European perch; parasites; PARASITES; DYNAMICS;
D O I
10.1016/j.procs.2021.09.107
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
Food safety is a set of conditions and actions that must be carried out during all stages of the food production and trading process in order to ensure the safety and the health of consumers. This also applies to fish processing. Some parasite species which live in fish are especially dangerous to humans. Therefore, the aim of the article was to build a model that would take the biological characteristics of fish as well as environmental data into account and then be used to predict the presence of parasites in raw fish and fish products. Intelligent systems, based on artificial intelligence methods, are ideally suited for this type of task. Rough sets, an artificial intelligence methods was used to build a model with this aim. (C) 2021 The Authors. Published by Elsevier B.V.
引用
收藏
页码:3342 / 3350
页数:9
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