{"title":"基于模糊语言方法的应急物流系统可靠性评价","authors":"Chun-Mei Liu","doi":"10.1109/ICMLC.2012.6359533","DOIUrl":null,"url":null,"abstract":"This paper proposes a linguistic fuzzy method to evaluate the reliability of emergency logistics system based on incomplete weight information. The proposed methodology involves two mechanisms: (1). Establish the fuzzy comment set about sub-criteria and criteria by linguistics information; (2). Compute the aggregated ratings of the criteria and the emergency logistics system reliability of emergency logistics alternative using the linguistic weighted averaging. Empirical results are given to verify the practicality and effectiveness of the proposed approach.","PeriodicalId":128006,"journal":{"name":"2012 International Conference on Machine Learning and Cybernetics","volume":"23 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2012-07-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Evaluating the reliability of emergency logistics system based on fuzzy linguistic approach\",\"authors\":\"Chun-Mei Liu\",\"doi\":\"10.1109/ICMLC.2012.6359533\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper proposes a linguistic fuzzy method to evaluate the reliability of emergency logistics system based on incomplete weight information. The proposed methodology involves two mechanisms: (1). Establish the fuzzy comment set about sub-criteria and criteria by linguistics information; (2). Compute the aggregated ratings of the criteria and the emergency logistics system reliability of emergency logistics alternative using the linguistic weighted averaging. Empirical results are given to verify the practicality and effectiveness of the proposed approach.\",\"PeriodicalId\":128006,\"journal\":{\"name\":\"2012 International Conference on Machine Learning and Cybernetics\",\"volume\":\"23 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2012-07-15\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2012 International Conference on Machine Learning and Cybernetics\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICMLC.2012.6359533\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2012 International Conference on Machine Learning and Cybernetics","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICMLC.2012.6359533","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Evaluating the reliability of emergency logistics system based on fuzzy linguistic approach
This paper proposes a linguistic fuzzy method to evaluate the reliability of emergency logistics system based on incomplete weight information. The proposed methodology involves two mechanisms: (1). Establish the fuzzy comment set about sub-criteria and criteria by linguistics information; (2). Compute the aggregated ratings of the criteria and the emergency logistics system reliability of emergency logistics alternative using the linguistic weighted averaging. Empirical results are given to verify the practicality and effectiveness of the proposed approach.
求助内容：
应助结果提醒方式：
京公网安备 11010802042870号
