摘要
在形势背景的基础上,通过弱化形式概念构成的条件,定义了比形式概念更为广泛的认知基本单位,即命题。基于一些基本概念如必然命题和充分命题,给出了命题的一些相关性质及各种命题间的关系,以及获取一些新命题的有效方式。通过确定一个命题的程度即确定度,探讨了基于决策形式背景中的命题推理方法,为形势背景上的不确定推理提供了一种新的认知框架。
With respect to formal context, by weakening the composition condition of a formal concept, this paper proposes that the basic unit of cognition, i.e., proposition, is wider than the current formal concept. Using the concepts of necessary proposition and sufficient proposition as a basis, we provide some related properties of a proposition and the relationship between various propositions, and propose an effective way to obtain some new propositions. Using the degree of determination of a proposition, this paper discusses the propositional reasoning in a decision formal context, and provides a new framework for uncertain reasoning in a formal context.
出处
《智能系统学报》
CSCD
北大核心
2015年第6期934-937,共4页
CAAI Transactions on Intelligent Systems
基金
国家自然科学基金资助项目(61170107
61300153)
河北省高校创新团队领军人才培育计划资助项目(LJRC022)
关键词
概念格
决策形式背景
确定度
必然命题
充分命题
concept lattice
decision formal context
determine degree
necessary proposition
sufficient proposition