{"title":"基于FCM和模糊规则的智能物联网逆向设计跟踪系统","authors":"Rui-Yang Chen","doi":"10.1109/GCIS.2013.43","DOIUrl":null,"url":null,"abstract":"In the product usage life cycle, the problems found by customers can be considered separately to the market, procurement, manufacturing and channel departments to generate the product related attributes. This has meant that do not consider other process multi-attributes simultaneously, and do not capture enough structured and relational feedback information through product usage life cycle. This paper design the intelligent agent-based tracing system based on IOT(internet of things) architecture using FCM (fuzzy cognitive maps) and fuzzy rule method for product usage life cycle. It aimed at simulate complex system with imprecise relationships while quantifying the performance impact of backward design process efficiency using the total effects algorithm.","PeriodicalId":366262,"journal":{"name":"2013 Fourth Global Congress on Intelligent Systems","volume":"23 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2013-12-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"7","resultStr":"{\"title\":\"Intelligent IOT-Based Tracing System for Backward Design Using FCM and Fuzzy Rule\",\"authors\":\"Rui-Yang Chen\",\"doi\":\"10.1109/GCIS.2013.43\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In the product usage life cycle, the problems found by customers can be considered separately to the market, procurement, manufacturing and channel departments to generate the product related attributes. This has meant that do not consider other process multi-attributes simultaneously, and do not capture enough structured and relational feedback information through product usage life cycle. This paper design the intelligent agent-based tracing system based on IOT(internet of things) architecture using FCM (fuzzy cognitive maps) and fuzzy rule method for product usage life cycle. It aimed at simulate complex system with imprecise relationships while quantifying the performance impact of backward design process efficiency using the total effects algorithm.\",\"PeriodicalId\":366262,\"journal\":{\"name\":\"2013 Fourth Global Congress on Intelligent Systems\",\"volume\":\"23 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2013-12-03\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"7\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2013 Fourth Global Congress on Intelligent Systems\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/GCIS.2013.43\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2013 Fourth Global Congress on Intelligent Systems","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/GCIS.2013.43","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Intelligent IOT-Based Tracing System for Backward Design Using FCM and Fuzzy Rule
In the product usage life cycle, the problems found by customers can be considered separately to the market, procurement, manufacturing and channel departments to generate the product related attributes. This has meant that do not consider other process multi-attributes simultaneously, and do not capture enough structured and relational feedback information through product usage life cycle. This paper design the intelligent agent-based tracing system based on IOT(internet of things) architecture using FCM (fuzzy cognitive maps) and fuzzy rule method for product usage life cycle. It aimed at simulate complex system with imprecise relationships while quantifying the performance impact of backward design process efficiency using the total effects algorithm.