<p><P>This monograph is devoted to theoretical and experimental study of inhibitory decision and association rules. Inhibitory rules contain on the right-hand side a relation of the kind "attribut does not equal value". The use of inhibitory rules instead of deterministic (standard) ones allows us t
Inhibitory Rules in Data Analysis: A Rough Set Approach
β Scribed by Pawel Delimata, Mikhail Ju. Moshkov, Andrzej Skowron, Zbigniew Suraj (auth.)
- Publisher
- Springer-Verlag Berlin Heidelberg
- Year
- 2009
- Tongue
- English
- Leaves
- 121
- Series
- Studies in Computational Intelligence 163
- Edition
- 1
- Category
- Library
No coin nor oath required. For personal study only.
β¦ Subjects
Appl.Mathematics/Computational Methods of Engineering; Artificial Intelligence (incl. Robotics)
π SIMILAR VOLUMES
<p><P>Along the years, rough set theory has earned a well-deserved reputation as a sound methodology for dealing with imperfect knowledge in a simple though mathematically sound way. This edited volume aims at continue stressing the benefits of applying rough sets in many real-life situations while
<p><P>Along the years, rough set theory has earned a well-deserved reputation as a sound methodology for dealing with imperfect knowledge in a simple though mathematically sound way. This edited volume aims at continue stressing the benefits of applying rough sets in many real-life situations while
<p><p>In this book, the following three approaches to data analysis are presented:</p><p> - Test Theory, founded by Sergei V. Yablonskii (1924-1998); the first publications appeared in 1955 and 1958,</p><p>- Rough Sets, founded by ZdzisΕaw I. Pawlak (1926-2006); the first publications appeared in 19
<p><p>In this book, the following three approaches to data analysis are presented:</p><p> - Test Theory, founded by Sergei V. Yablonskii (1924-1998); the first publications appeared in 1955 and 1958,</p><p>- Rough Sets, founded by ZdzisΕaw I. Pawlak (1926-2006); the first publications appeared in 19