Computational intelligence and feature selection: rough and fuzzy approaches

R Jensen, Q Shen - 2008 - books.google.com
The rough and fuzzy set approaches presented here open up many new frontiers for
continued research and development Computational Intelligence and Feature Selection …

论空间数据挖掘和知识发现的理论与方法

李德仁, 王树良, 李德毅, 王新洲 - 武汉大学学报(信息科学版), 2002 - ch.whu.edu.cn
首先分析了空间数据挖掘和知识发现(SDMKD) 的内涵和外延; 然后分别研究了用于SDMKD
的概率论, 证据理论, 空间统计学, 规则归纳, 聚类分析, 空间分析, 模糊集, 云理论, 粗集 …

Rudiments of rough sets

Z Pawlak, A Skowron - Information sciences, 2007 - Elsevier
Worldwide, there has been a rapid growth in interest in rough set theory and its applications
in recent years. Evidence of this can be found in the increasing number of high-quality …

Rough sets: some extensions

Z Pawlak, A Skowron - Information sciences, 2007 - Elsevier
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Rough sets and Boolean reasoning

Z Pawlak, A Skowron - Information sciences, 2007 - Elsevier
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Rough sets and intelligent data analysis

Z Pawlak - Information sciences, 2002 - Elsevier
Rough set based data analysis starts from a data table, called an information system. The
information system contains data about objects of interest characterized in terms of some …

Theory and applications of granular labelled partitions in multi-scale decision tables

WZ Wu, Y Leung - Information Sciences, 2011 - Elsevier
Granular computing and acquisition of if-then rules are two basic issues in knowledge
representation and data mining. A formal approach to granular computing with multi-scale …

Rough set theory and its applications

Z Pawlak - Journal of Telecommunications and information …, 2002 - yadda.icm.edu.pl
In this paper rudiments of the theory will be outlined, and basic concepts of the theory will be
illustrated by a simple tutorial example, concerning churn modeling in telecommunications …

Feature selection based on rough set approach, wrapper approach, and binary whale optimization algorithm

MA Tawhid, AM Ibrahim - International journal of machine learning and …, 2020 - Springer
The principle of any approach for solving feature selection problem is to find a subset of the
original features. Since finding a minimal subset of the features is an NP-hard problem, it is …

[图书][B] Kansei Engineering, 2 Volume Set

M Nagamachi - 2010 - books.google.com
Written by the founder of this technology, this set provides readers with the background and
history of Kansei Engineering and demonstrates how to use it in each stage. This new …