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引用次数: 0

摘要

感官评价中统计学的一个主要方向是评估实验变量与被测特性之间的相关性。统计标准用于评估变量之间的相互作用程度,实验效果的水平,并允许接受或拒绝提出的假设。在感官评估中,人作为测量工具,与人为因素相关的变化出现了。这证明使用统计方法是必要的。本文介绍了一种基于秩相关和多因子方差分析方法的食品感官指标实时采集与评价的网络计算机系统。本文介绍了基于客户端-服务器网络体系结构的食品质量专家感官评价的信息技术,即通过个人专家组和感官专家组对技术控制手段无法测量的指标进行食品质量专家感官评价。基于多因子方差分析原理的实时模式感官数据采集与统计处理系统的软件实现,可以评估人为因素对感官评价结果的客观性和可靠性的影响,并将各专家组的专家评分数据可视化。
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Expert system of food sensory evaluation for mobile and tablet
One of the main directions of statistics in sensory evaluation is an assessment of the dependence between experimental variables and measured characteristics. Statistical criteria are used to assess a degree of interaction between variables, a level of experimental effects, and allow accepting or rejecting hypothesis proposed. In sensory evaluation, people act as measurement instruments, and a variation associated with the human factor arises. This proves that the use of statistical methods is necessary. This article represents a network computer system for collection and evaluation of food sensory indicators based on the methods of rank correlation and multifactorial analysis of variance in real time. The article describes information technology of expert sensory evaluation of food quality by individual panelists and sensory panels regarding the indicators that are not measured by technical means of control, based on client-server network architecture. The software implementation of system for collecting and statistical processing of sensory data based on the principles of multifactorial analysis of variance in real-time mode makes it possible to evaluate the influence of the human factor on objectiveness and reliability of sensory evaluation results, as well as to visualize the data of expert scores by various expert panels.
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