rough numbers
英 [rʌf ˈnʌmbəz]
美 [rʌf ˈnʌmbərz]
网络 大概数字; 粗糙数
双语例句
- On the base of fuzzy number and rough sets, this paper defines the rough fuzzy number ( RF number). Then it researchs the nature of RF number and discusses the distance between two RF numbers.
定义了粗糙模糊数（RFN），进而研究了其性质及二RF数间的距离，可用于在实际问题中对模糊信息的表述及信息加工。 - A Fault Verification Method of the Rough Neural Network with Interval Numbers
具有区间数的粗糙神经网络故障认定方法 - Based on these, the closeness of distance, the least and greatest closeness, the least average closeness and the closeness in the lattice for rough fuzzy numbers are given.
在此基础上，分别给出了粗糙模糊数的距离贴近度，最大最小贴近度，最小平均贴近度以及格贴近度。 - Three decomposition theorems and a representation theorem of rough fuzzy numbers are given.
讨论了粗糙模糊数（RFN）的构造性质，给出了粗糙模糊数的分解定理及表现定理。 - A novel rough set-based approach to ordering rule acquisition in fuzzy information systems with triangular fuzzy numbers is presented.
针对一类带有三角模型的模糊信息系统，提出一种基于粗糙集的有序规则获取方法。 - In section 3.4 the relationship of rough inclusion and rough equality of rough intervals are defined by two kinds of tools which are respectively the lower ( upper) approximation operator in real numbers domain and rough membership functions.
利用实数域上的上下近似算子及粗糙隶属函数两种工具，第四节分别定义粗糙区间的粗包含与粗相等关系，并分析其诸多性质。 - Decomposition Theorem and Representation Theorem on Rough Fuzzy Numbers
粗糙模糊数的分解定理和表现定理 - A rough neural network method is proposed to solve the problems in an information system with interval numbers.
针对具有区间数的信息系统，提出用粗糙神经网络求解其问题的方法。 - Traditional rough set model is based on completion of available information, ignoring incompletion and statistical information of available information, so we can not discover uncertain decision-preferential information hiding in large numbers of decision-making instances by traditional rough set model.
传统的粗糙集（RoughSet）模型基于可利用信息的完全性，忽视了可利用信息中的不完全性和可能存在的统计信息，因而不能发现隐藏在大量决策实例中的不确定性决策偏好信息。 - The Closeness of Rough Fuzzy Numbers
粗糙模糊数的贴近度