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» Supporting Fuzzy Rough Sets in Fuzzy Description Logics
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COSIT
2009
Springer
165views GIS» more  COSIT 2009»
14 years 2 months ago
To Be and Not To Be: 3-Valued Relations on Graphs
Spatial information requires models which allow us to answer ‘maybe’ to questions asking whether a location lies within a region. At the same time, models must account for data...
John G. Stell
ICLP
2007
Springer
13 years 11 months ago
Computing Fuzzy Answer Sets Using dlvhex
Fuzzy answer set programming has been introduced as a framework that successfully combines the concepts of answer set programming and fuzzy logic. In this paper, we show how the fu...
Davy Van Nieuwenborgh, Martine De Cock, Dirk Verme...
RSCTC
2000
Springer
146views Fuzzy Logic» more  RSCTC 2000»
13 years 11 months ago
An Algorithm for Induction of Decision Rules Consistent with the Dominance Principle
Induction of decision rules within the dominance-based rough set approach to the multiple-criteria sorting decision problem is discussed in this paper. We introduce an algorithm ca...
Salvatore Greco, Benedetto Matarazzo, Roman Slowin...
RSCTC
2004
Springer
164views Fuzzy Logic» more  RSCTC 2004»
14 years 24 days ago
Rough Set Methodology in Clinical Practice: Controlled Hospital Trial of the MET System
Abstract. Acute abdominal pain in childhood is a common but diagnostically challenging problem facing Emergency Department personnel. Experienced physicians use a combination of ke...
Ken Farion, Wojtek Michalowski, Roman Slowinski, S...
RSFDGRC
2009
Springer
14 years 2 months ago
Fuzzy Sets and Rough Sets for Scenario Modelling and Analysis
Abstract. Both fuzzy set theory and rough set theory play an important role in data-driven, systems modelling and analysis. They have been successfully applied to building various ...
Qiang Shen