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.
{"title":"Military Equipment Project Interim Evaluation Based on Fuzzy Theory","authors":"Xiaowei Chen, Junqi Zhang, K. Cui","doi":"10.1145/3274250.3274265","DOIUrl":"https://doi.org/10.1145/3274250.3274265","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":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116824084","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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