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A new approach to drawing conclusions from data. A rough set perspective
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The presented approach has found many real-life applications and it seems that can be used in some kind of legal reasoning.Abstract:
Rough set theory is a new mathematical approach to vague and uncertain data analysis. The paper explains basic concepts of the theory and outlines briefly applications of the method to drawing conclusions from factual data. The presented approach has found many real-life applications and it seems that can be used in some kind of legal reasoning.read more
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Book
Rough-Fuzzy Hybridization: A New Trend in Decision Making
Sankar K. Pal,Andrzej Skowron +1 more
TL;DR: This volume provides a collection of twenty articles containing new material and describing the basic concepts and characterizing features of rough set theory and its integration with fuzzy set theory, for developing an efficient soft computing strategy of machine learning.
Book
New directions in rough sets, data mining, and granular-soft computing, 7th International Workshop, RSFDGrC'99, Yamaguchi, Japan, November 9-11, 1999 : proceedings
TL;DR: In this article, Rough Set Theory and its applications have been explored in the context of data mining and knowledge discovery, including the use of Rough Set theory for finding equivalence relations from tables with non-deterministic information.
BookDOI
New Directions in Rough Sets, Data Mining, and Granular-Soft Computing
TL;DR: In this article, Rough Set Theory and its applications have been explored in the context of data mining and knowledge discovery, including the use of Rough Set theory for finding equivalence relations from tables with non-deterministic information.
Book
Fundamentals of the New Artificial Intelligence: Beyond Traditional Paradigms
TL;DR: Introduction.