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基于粒计算的不完备信息系统的缺失值估计算法
引用本文:马垣,张果枝. 基于粒计算的不完备信息系统的缺失值估计算法[J]. 计算机应用与软件, 2010, 27(4): 23-25
作者姓名:马垣  张果枝
作者单位:辽宁科技大学计算机科学与工程系,辽宁,鞍山,114051
基金项目:国家自然科学基金(60775036)
摘    要:将粒计算引入到不完备信息系统中,提出了粒域、粗糙粒域、邻近粒域的概念。由对象的粒域得到的邻近粒域估计缺失值,使缺失值与横向(属性)和纵向(对象)相联系,提高了估计值的可信度。

关 键 词:不完备信息系统  缺失值  粒域  粗糙粒域  邻近粒域  

ESTIMATING LOST VALUES OF INCOMPLETE INFORMATION SYSTEM ON THE BASIS OF GRANULAR COMPUTING
Ma Yuan,Zhang Guozhi. ESTIMATING LOST VALUES OF INCOMPLETE INFORMATION SYSTEM ON THE BASIS OF GRANULAR COMPUTING[J]. Computer Applications and Software, 2010, 27(4): 23-25
Authors:Ma Yuan  Zhang Guozhi
Affiliation:School of Computer Science and Engineering/a>;Liaoning University of Science and Technology/a>;Anshan 114051/a>;Liaoning/a>;China
Abstract:In this paper we mainly introduce granular computation into incomplete information system,and propose three concepts,they are the granular space,the rough granular space and the neighbourhood granular space. Lost values are estimated by neighbourhood granular space derived from granular space of the object,which makes the lost values link with the horizontal(attributes) and the vertical(objects) . This algorithm makes the lost values estimation more creditable.
Keywords:Incomplete information system Lost values Granular space Rough granular space Neighbourhood granular space  
本文献已被 CNKI 维普 万方数据 等数据库收录!
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