1) totalloss-factor approximation
集中损耗近似
2) dissipative approximation
耗散近似
3) Proximity Loss
邻近损耗
4) lower approximation
下近似集
1.
similarity measure, distance measure and entropy measure are defined for the object rank, then upper and lower approximations of concept are defined by using this fuzzy set method , and decision rules are achieved.
本文提出FPS模型解决这种不确定性,并在此基础上,为概念归纳推理定义了模糊粗糙集,为对象的排序定义了相似性测度、距离测度和熵测度,用模糊集方法定义了概念的上下近似集,并得出了决策规则。
5) upper approximation
上近似集
1.
This paper simply introduces rough set theory and its applications,and then it has a detailed statement on knowledge,lower and upper approximation sets and other basic concepts about it.
在介绍粗糙集理论及其应用的基础上,着重围绕粗糙集理论中的知识,下、上近似集等基本概念展开了详细的阐述。
6) lower approximate set
下近似集
补充资料：介质损耗角正切试验(见电容率与损耗因数试验)
介质损耗角正切试验(见电容率与损耗因数试验)
dielectric loss tangent test
)!eZh.sunhooJ一002匕engq一e sh一yon介质损耗角正切试验(dieleetri。1055 tangenttest)见电容率与损耗因数试验。
说明：补充资料仅用于学习参考，请勿用于其它任何用途。
参考词条