WebDec 10, 2014 · The package RoughSets, written mainly in the R language, provides implementations of methods from the rough set theory (RST) and fuzzy rough set theory (FRST) for data modeling and analysis. It considers not only fundamental concepts (e.g., indiscernibility relations, lower/upper approximations, etc.), but also their applications in … WebRoughSets 粗糙集算法。粗糙集理论是一个比较新颖的数据挖掘思想。这里使用的是用粗糙集进行属性约简的算法,通过上下近似集的判断删除无效的属性,进行规制的输出。详细介绍链接 GSpan gSpan算法属于图挖掘算法领域。
【机器学习】粗糙集属性约简—Attribute Reduction_牛客博客
WebDec 16, 2024 · A.Introduction-RoughSets: Introduction to Rough Set Theory as.character.RuleSetRST: The 'as.character' method for RST rule sets as.list.RuleSetRST: … WebThis part contains global explanations about the implementation and use of the RoughSets package. The package RoughSets attempts to provide a complete tool to model and … bscc community learning
R: Introduction to Rough Set Theory
WebJul 7, 2024 · Rough set approaches are successfully utilized in the areas of machine learning and knowledge discovery, particularly for feature selection and classifiers simplification, as well as for deriving easily interpretable decision models from the data [1, 9].There are a number of generalizations and hybridizations of rough set methods available in the form … WebOct 11, 2016 · 2.2.ppt.SC. 1. Rough SetRough Set. 2. FuzzyFuzzy SetsSets • Dr. Lotfi Zadeh propose this approach. • In his approach an element can belong to a degree k (0 <= k <= 1). • In classical set theory an element must belong or not belong to a set. • Fuzzy membership function can be presented as: µX (x) є (0,1) where, X is a set and x is an ... WebNov 23, 2024 · 决策表属性约简. 在不同条件的决策环境中,人们对决策表的属性约简的要求和期望是不同的。. 例如在决策表中存在一些条件属性,由于他们的属性值难以得到或测 … excelsior online classes login