Based on some neural science experiments, a mathematical theory and method for thinking construction and intelligence modeling called attribute theory and method is presented in this paper.
根据神经科学实验的相关结果，本文给出了一个基于属性的思维建构与智能模拟的数学理论与方法，简称属性论的初略框架。
The paper analyzes the economy attribute of cost price from multi-opinion, and develops a mathematic model on the basis of the discussion of the theory of cost evaluation, and also studies the method.
从多个角度分析了成本价的经济属性，对成本价的评审理论进行了深入地探讨并得出了其数学模型，据此理论展开了成本价评审方法的研究。
According to the concept of importance of attribute, this paper puts forward the method and detailed program of ascertaining attribute weight based on rough sets theory.
利用属性重要度等概念，给出了一种基于粗集理论确定属性权重的方法及其具体操作步骤。
This paper presents a new method based on Attribute Theory and Bernstein Basic Function fitting after thorough study of stock investment and prediction technology.
本文在深入分析股票投资理论和股价预测方法的基础上，提出了利用属性论方法和波恩斯坦基函数拟合技术的股市预测算法。
In the fifth chapter, discusses the theory and method used in the problem regulating verbs semantic attribute fields and its value in Mongolian grammar information dictionary.
第五章，论述了“蒙古语语法信息词典”中动词语义属性字段及其取值规范的确定，以及与此有关的具体技术问题。
But with the number of attribute increasing and the more and more complicated concept levels, the traditional method based on the set theory becomes lower and lower efficient.
但是实际应用环境中的数据属性维数非常多，属性概念层次也非常复杂，基于集合论的传统学习方法的效率变得越来越低。
Naive Bayes classifier is a simple and effective classification method based on probability theory, but its attribute independence assumption is often violated in the real world.
朴素贝叶斯分类器是一种简单而有效的概率分类方法，然而其属性独立性假设在现实世界中多数不能成立。
Naive Bayes classifier is a simple and effective classification method based on probability theory, but its attribute independence assumption is often violated in the real world.
朴素贝叶斯分类器是一种简单而有效的概率分类方法，然而其属性独立性假设在现实世界中多数不能成立。
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