{"title":"分析智能包装指标和产品质量变化关联模型的可靠性算法","authors":"Elfa Susanti Thamrin","doi":"10.35472/281435","DOIUrl":null,"url":null,"abstract":"Smart packaging is one of innovations in the field of packaging that can monitor and provide information to producers and consumers about the quality of the packaged product. Nowadays, there is no exact model to relate both of the changing between the label and the product quality. Thus, it is required an association between discoloration smart packaging indicator with the packaged product quality change. Parameter identification process can generate a lot of parameters, we need a method to select the important parameter attributes therefore it used a ReliefF (Reliable Eliminated of Feature) method. The objectives of this research were to identify the association parameters and to select the important attribute and sufficiently describing the relationship and furthermore this research was to develop an association model of discoloration of smart packaging indicator with natural dyes and the quality changes. The data were obtained from a previous research and discretization to classify the data °Hue, ΔE, consumer preferences and the total colony to nominal value. Selection of attributes by using the ReliefF method showed that there were three attributes with the highest weight value (Wi). Furthermore, this research generated important parameters and sufficiently describing the relationship of discoloration and product quality changes.","PeriodicalId":231292,"journal":{"name":"Journal on Satisfiability, Boolean Modeling and Computation","volume":"154 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2018-06-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Analisa Algoritma Relieff Untuk Model Asosiasi Perubahan Warna Pada Indikator Kemasan Cerdas Dan Perubahan Mutu Produk\",\"authors\":\"Elfa Susanti Thamrin\",\"doi\":\"10.35472/281435\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Smart packaging is one of innovations in the field of packaging that can monitor and provide information to producers and consumers about the quality of the packaged product. Nowadays, there is no exact model to relate both of the changing between the label and the product quality. Thus, it is required an association between discoloration smart packaging indicator with the packaged product quality change. Parameter identification process can generate a lot of parameters, we need a method to select the important parameter attributes therefore it used a ReliefF (Reliable Eliminated of Feature) method. The objectives of this research were to identify the association parameters and to select the important attribute and sufficiently describing the relationship and furthermore this research was to develop an association model of discoloration of smart packaging indicator with natural dyes and the quality changes. The data were obtained from a previous research and discretization to classify the data °Hue, ΔE, consumer preferences and the total colony to nominal value. Selection of attributes by using the ReliefF method showed that there were three attributes with the highest weight value (Wi). Furthermore, this research generated important parameters and sufficiently describing the relationship of discoloration and product quality changes.\",\"PeriodicalId\":231292,\"journal\":{\"name\":\"Journal on Satisfiability, Boolean Modeling and Computation\",\"volume\":\"154 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2018-06-25\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Journal on Satisfiability, Boolean Modeling and Computation\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.35472/281435\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal on Satisfiability, Boolean Modeling and Computation","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.35472/281435","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
摘要
智能包装是包装领域的一项创新,它可以监控并向生产者和消费者提供有关包装产品质量的信息。目前,并没有一个精确的模型将标签的变化与产品质量的变化联系起来。因此,需要变色智能包装指标与被包装产品质量变化之间的关联。参数识别过程中会产生大量的参数,我们需要一种方法来选择重要的参数属性,因此采用了ReliefF (Reliable elimination of Feature)方法。本研究的目的是确定关联参数,选择重要属性并充分描述关系,进一步研究开发智能包装指标变色与天然染料和质量变化的关联模型。数据是从先前的研究和离散化中获得的,以分类数据°Hue, ΔE,消费者偏好和总群体到名义值。使用ReliefF方法选择属性,结果显示权重值(Wi)最高的属性有3个。此外,本研究产生了重要的参数,并充分描述了变色与产品质量变化的关系。
Analisa Algoritma Relieff Untuk Model Asosiasi Perubahan Warna Pada Indikator Kemasan Cerdas Dan Perubahan Mutu Produk
Smart packaging is one of innovations in the field of packaging that can monitor and provide information to producers and consumers about the quality of the packaged product. Nowadays, there is no exact model to relate both of the changing between the label and the product quality. Thus, it is required an association between discoloration smart packaging indicator with the packaged product quality change. Parameter identification process can generate a lot of parameters, we need a method to select the important parameter attributes therefore it used a ReliefF (Reliable Eliminated of Feature) method. The objectives of this research were to identify the association parameters and to select the important attribute and sufficiently describing the relationship and furthermore this research was to develop an association model of discoloration of smart packaging indicator with natural dyes and the quality changes. The data were obtained from a previous research and discretization to classify the data °Hue, ΔE, consumer preferences and the total colony to nominal value. Selection of attributes by using the ReliefF method showed that there were three attributes with the highest weight value (Wi). Furthermore, this research generated important parameters and sufficiently describing the relationship of discoloration and product quality changes.