摘要
随着我国两化融合进程不断加快,企业成功建设信息系统关键在于信息系统与企业管理匹配,目前国内外学者对信息系统与企业管理匹配提出一些评价模型和方法,但这些评价方法中对匹配指标权重确定主要依靠经验来确定。为了尽可能保持对匹配评价随机性和模型性,本文试图依托云模型,对小样本专家匹配评价数据生成云模型,然后通过逆向云发生器补充大量匹配评价数据,最后利用补充匹配评价数据生成最终云模型,利用matlab进行计算和仿真,得到每个匹配指标权重,有效提高信息系统与企业管理匹配指标权重科学性和准确性。
While merging together with informatization and industrialisation is accelerated, it is the key to the success of information system and enterprise management matching during enterprise information system construction, some evaluation models and methods are put forward by scholars at home and abroad, which focus on match between information system and enterprise management, but these evaluation methods of de- termining index weight of match mainly depended on the experience. As far as possible in order to maintain random and fuzzy on the matching evaluation, the cloud model of index's weight is built on this paper, for small sample matching expert evaluation data generation of cloud model, and then a number of matching e- valuation data are supplied by backward cloud generator. Finally the final cloud model is generated on using complementary matching evaluation data and calculation and simulation are implemented by using matlab software in order to get each matching index weight. It can improve the information system and enterprise management matching scientific and accurate determination of index weight.
出处
《信息资源管理学报》
2013年第1期87-92,共6页
Journal of Information Resources Management
基金
2011教育部人文社科规划基金项目(11YJA870007)
关键词
云模型
信息系统
企业管理
匹配
指标权重
Cloud model Information system Enterprise management Match Index's weight