标题:Inverse P-augmented matrix method-based the dynamic findings of unknown information
作者:Ren, Xuefang; Zhang, Ling; Shi, Kaiquan; Tseng, Hsien-Wei; Chen, Yi-Lun
通讯作者:Ren, XF;Ren, Xuefang
作者机构:[Ren, Xuefang; Zhang, Ling; Tseng, Hsien-Wei] Longyan Univ, Sch Informat Engn, 1 Dongxiaobei Rd, Longyan 364012, Fujian, Peoples R China.; [Shi, Kai 更多
会议名称:IEEE International Conference on Applied System Innovation (IEEE ICASI)
会议日期:MAY 13-17, 2017
来源:MICROSYSTEM TECHNOLOGIES-MICRO-AND NANOSYSTEMS-INFORMATION STORAGE AND PROCESSING SYSTEMS
出版年:2018
卷:24
期:10
页码:4187-4192
DOI:10.1007/s00542-018-3704-x
摘要:The paper proposes the concept of inverse P-augmented matrix, and gives its structure; the inverse P-augmented matrix is obtained by improving the common augmented matrix; under certain condition, the inverse P-augmented matrix is reduced to the common augmented matrix. Inverse P-sets is the theoretical basis of proposing inverse P-augmented matrix, which is a new set model with dynamic feature. The paper gives the introduction of inverse-P set, the generation method of inverse P-augmented matrix and the relation between inverse P-augmented matrix and common augmented matrix, and gives the application of inverse P-augmented matrix in the dynamic findings of unknown information by virtue of these studies.
收录类别:CPCI-S;EI;SCOPUS;SCIE
最新影响因子:0.708
资源类型:会议论文;期刊论文
原文链接:https://www.scopus.com/inward/record.uri?eid=2-s2.0-85040601287&doi=10.1007%2fs00542-018-3704-x&partnerID=40&md5=d6ac2d7f112ab9136618f49dc67ddce1
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