Application of Rough Set Theory to Analysis of Hydrocyclone Operation

Knowledge Discovery of Hydrocyclone s Circuit Based on SONFIS and SORST

This study describes application of some approximate reasoning methods to analysis of hydrocyclone performance. In this manner, using a combining of Self Organizing Map (SOM), Neuro-Fuzzy Inference System (NFIS)-SONFIS- and Rough Set Theory (RST)-SORST-crisp and fuzzy granules are obtained. Balancing of crisp granules and non-crisp granules can be implemented in close-open iteration. Using different criteria and based on granulation level balance point (interval) or a pseudo-balance point is estimated. Validation of the proposed methods, on the data set of the hydrocyclone is rendered.

Contamination-Free Measures and Algebraic Operations

An open concept of rough evolution and an axiomatic approach to granules was also developed recently by the present author. Subsequently the concepts were used in the formal framework of rough Y-systems (RYS) for developing on granular correspondences by her. These have since been used for a new approach towards comparison of rough algebraic semantics across different semantic domains by way of correspondences that preserve rough evolution and try to avoid contamination. In this research paper, new methods are proposed and a semantics for handling possibly contaminated operations and structure…

Covering rough sets based on neighborhoods: An approach without using neighborhoods

Rough set theory, a mathematical tool to deal with inexact or uncertain knowledge in information systems, has originally described the indiscernibility of elements by equivalence relations. Covering rough sets are a natural extension of classical rough sets by relaxing the partitions arising from equivalence relations to coverings. Recently, some topological concepts such as neighborhood have been applied to covering rough sets. In this paper, we further investigate the covering rough sets based on neighborhoods by approximation operations. We show that the upper approximation based on neighbo…

Relationship between the second type of covering-based rough set and matroid via closure operator

Recently, in order to broad the application and theoretical areas of rough sets and matroids, some authors have combined them from many different viewpoints, such as circuits, rank function, spanning sets and so on. In this paper, we connect the second type of covering-based rough sets and matroids from the view of closure operators. On one hand, we establish a closure system through the fixed point family of the second type of covering lower approximation operator, and then construct a closure operator. For a covering of a universe, the closure operator is a closure one of a matroid if and on…

一种基于粗糙集的规则泛化溯因学习

A rule-general abductive learning by rough sets

本文提出基于粗糙集的规则泛化溯因学习框架RS-ABL，利用粗糙集理论低成本实现领域知识获取与规则修正、约简和生成，并生成负规则增强知识库，从而提升半监督任务准确率。

基于模糊粗糙集理论的新型特征选择建模：在混合信息系统正常和乐观状态下的应用

A New Modeling to Feature Selection Based on the Fuzzy Rough Set Theory in Normal and Optimistic States on Hybrid Information Systems

本文提出了一种基于模糊粗糙集理论的新型特征选择模型FSbuHD，通过优化方法在正常和乐观状态下提升特征选择效率。