{"title":"基于模糊理论的军事装备项目中期评价","authors":"Xiaowei Chen, Junqi Zhang, K. Cui","doi":"10.1145/3274250.3274265","DOIUrl":null,"url":null,"abstract":"Military equipment project interim evaluation has great significance to project management and control. Firstly, the index system is established from five aspects: development, organization and management, performance, prospective benefit and resources, which includes qualitative and quantitative indexes. Then an interim evaluation model is built to solve the hybrid multi-index evaluation problem: the values of qualitative and quantitative indexes are pretreated by fuzzy membership function; the indexes weight vectors are determined by AHP; the evaluation results are calculated by multilevel fuzzy comprehensive evaluation; the evaluation conclusions are analysed by fuzzy c-means algorithm, which avoids the disadvantage of information loss by the maximum membership degree method and information annihilation by weighted average method. Finally, the effectiveness and feasibility are verified by a case study.","PeriodicalId":270216,"journal":{"name":"International Conference on Mathematics and Statistics","volume":"265 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Military Equipment Project Interim Evaluation Based on Fuzzy Theory\",\"authors\":\"Xiaowei Chen, Junqi Zhang, K. Cui\",\"doi\":\"10.1145/3274250.3274265\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Military equipment project interim evaluation has great significance to project management and control. Firstly, the index system is established from five aspects: development, organization and management, performance, prospective benefit and resources, which includes qualitative and quantitative indexes. Then an interim evaluation model is built to solve the hybrid multi-index evaluation problem: the values of qualitative and quantitative indexes are pretreated by fuzzy membership function; the indexes weight vectors are determined by AHP; the evaluation results are calculated by multilevel fuzzy comprehensive evaluation; the evaluation conclusions are analysed by fuzzy c-means algorithm, which avoids the disadvantage of information loss by the maximum membership degree method and information annihilation by weighted average method. Finally, the effectiveness and feasibility are verified by a case study.\",\"PeriodicalId\":270216,\"journal\":{\"name\":\"International Conference on Mathematics and Statistics\",\"volume\":\"265 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1900-01-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"International Conference on Mathematics and Statistics\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1145/3274250.3274265\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Conference on Mathematics and Statistics","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/3274250.3274265","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Military Equipment Project Interim Evaluation Based on Fuzzy Theory
Military equipment project interim evaluation has great significance to project management and control. Firstly, the index system is established from five aspects: development, organization and management, performance, prospective benefit and resources, which includes qualitative and quantitative indexes. Then an interim evaluation model is built to solve the hybrid multi-index evaluation problem: the values of qualitative and quantitative indexes are pretreated by fuzzy membership function; the indexes weight vectors are determined by AHP; the evaluation results are calculated by multilevel fuzzy comprehensive evaluation; the evaluation conclusions are analysed by fuzzy c-means algorithm, which avoids the disadvantage of information loss by the maximum membership degree method and information annihilation by weighted average method. Finally, the effectiveness and feasibility are verified by a case study.