{"title":"基于综合权重系数确定方法的指标加权的应用","authors":"Z. Huang, Jianping Chai, Bo Li, Xi Feng","doi":"10.1109/ICSESS.2017.8343038","DOIUrl":null,"url":null,"abstract":"Indicator empowerment is an important step in the process of combat decision-making, which directly affects the reliability and correctness of decision-making. In this paper, the method of determining the comprehensive weight coefficient of the combination of subjective and objective weighting methods is studied. Firstly, based on the analysis of the characteristics of the two weighting methods, the idea of combining the two methods is put forward. Secondly, the concrete steps of determining the weight coefficient are given by means of least square, deviation maximization and unit constraint. Finally, an example is given to demonstrate the feasibility of the proposed method.","PeriodicalId":179815,"journal":{"name":"2017 8th IEEE International Conference on Software Engineering and Service Science (ICSESS)","volume":"66 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2017-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"Application of index weighting based on the determination method of comprehensive weight coefficient\",\"authors\":\"Z. Huang, Jianping Chai, Bo Li, Xi Feng\",\"doi\":\"10.1109/ICSESS.2017.8343038\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Indicator empowerment is an important step in the process of combat decision-making, which directly affects the reliability and correctness of decision-making. In this paper, the method of determining the comprehensive weight coefficient of the combination of subjective and objective weighting methods is studied. Firstly, based on the analysis of the characteristics of the two weighting methods, the idea of combining the two methods is put forward. Secondly, the concrete steps of determining the weight coefficient are given by means of least square, deviation maximization and unit constraint. Finally, an example is given to demonstrate the feasibility of the proposed method.\",\"PeriodicalId\":179815,\"journal\":{\"name\":\"2017 8th IEEE International Conference on Software Engineering and Service Science (ICSESS)\",\"volume\":\"66 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2017-11-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2017 8th IEEE International Conference on Software Engineering and Service Science (ICSESS)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICSESS.2017.8343038\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2017 8th IEEE International Conference on Software Engineering and Service Science (ICSESS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICSESS.2017.8343038","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Application of index weighting based on the determination method of comprehensive weight coefficient
Indicator empowerment is an important step in the process of combat decision-making, which directly affects the reliability and correctness of decision-making. In this paper, the method of determining the comprehensive weight coefficient of the combination of subjective and objective weighting methods is studied. Firstly, based on the analysis of the characteristics of the two weighting methods, the idea of combining the two methods is put forward. Secondly, the concrete steps of determining the weight coefficient are given by means of least square, deviation maximization and unit constraint. Finally, an example is given to demonstrate the feasibility of the proposed method.