摘要
复杂性是科学技术面临的挑战之一,研究系统复杂性有着重要意义。综述系统复杂性基本语义研究背景,分析国内外历史上对复杂性的界定及不同定义;针对复杂性的分类,以本体论和认识论分类为基本框架,吸纳最新的复杂性分类定义成果,重新对复杂性进行归类。在此基础上,对复杂性的度量指标进行分类阐述,对相应的数学工具进行归类说明。设计案例说明了复杂性概念分类及度量的有效性。
Comprehension of complexity is one of the key challenges in science and technology.Complexity is a very important conception in interdisciplinary systems science,and is significant to researchers.The basic semantic background on system complexity was presented and the various definitions of complexity domestically and overseas were analyzed.On the basis of the classification of ontology and epistemology,a taxonomy of complexity was described on the basis of the state-of-the-art works on complexity definition.Meanwhile,a category of complexity measurements and the corresponding mathematical tools were proposed.Examples were given for the efficiency of complexity classification and measures.
作者
段晓君
尹伊敏
顾孔静
DUAN Xiaojun;YIN Yimin;GU Kongjing(College of Liberal Arts and Sciences,National University of Defense Technology,Changsha 410073,China)
出处
《国防科技大学学报》
EI
CAS
CSCD
北大核心
2019年第1期191-198,共8页
Journal of National University of Defense Technology
基金
新世纪优秀人才支持计划资助项目(NCET-10-0893)
关键词
系统科学
复杂性
度量
数学工具
systems science
complexity
measurement
mathematical tools