计算机科学与探索Issue(2)：165-171,7.DOI:10.3778/j.issn.1673-9418.1406025
粒计算在数字逻辑电路分析与设计中的应用
Application of Granular Computing in Analysis and Design of Digital Logic Circuit
摘要
Abstract
Logic optimization is the key for the analysis and design of digital logic circuits, which will decrease sys-tem complexity and system cost, and improve system security. With the dramatically increasing complexity of the circuits, the traditional logic optimization theory and methods are facing new challenges. From view of knowledge engineering, the nature of the logic optimization is the knowledge reduction. Granular computing (GrC) is an effec-tive way to deal with large-scale and complicated problems. Based on the review of current logic optimization algo-rithm and the development of GrC theory, this paper studies the knowledge model of granular computing theory, such as equivalence relation, tolerance relation, covering et al, and the knowledge discovery algorithm described by granular matrices, and points out the idea of using the knowledge model and knowledge discovery algorithm to the logical optimization of large scale digital logic circuit.关键词
粒计算/数字逻辑电路/逻辑优化Key words
granular computing (GrC)/digital logic circuit/logic optimization分类
信息技术与安全科学引用本文复制引用
陈泽华,张凯英,谢刚..粒计算在数字逻辑电路分析与设计中的应用[J].计算机科学与探索,2015,(2):165-171,7.基金项目
The National Natural Science Foundation of China under Grant No.61402319(国家自然科学基金) （国家自然科学基金）
the Research Project Supported by Shanxi Scholarship Council of China under Grant No.2013-031(山西省回国留学人员科研资助项目) （山西省回国留学人员科研资助项目）
the Fund Program for the Sci-entific Activities of Selected Returned Overseas Professionals in Shanxi Province (2011山西省留学回国人员科技活动择优资助项目) （2011山西省留学回国人员科技活动择优资助项目）
