Fuzzy Sets and Rough Sets for Scenario Modelling and Analysis

Allbwn ymchwil: Pennod mewn Llyfr/Adroddiad/Trafodion CynhadleddTrafodion Cynhadledd (Nid-Cyfnodolyn fathau)

149 Wedi eu Llwytho i Lawr (Pure)


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 intelligent decision support systems (amongst many others). This paper presents an integrated utilisation of some recent advances in these theories for detection and prevention of serious crime (e.g. terrorism). It is shown that the use of these advanced theories offers an effective means for the generation and assessment of plausible scenarios which can each provide an explanation for the given intelligence data. The resulting systems have the potential to facilitate rapid response in devising and deploying preventive measures. The paper also suggests a number of important further challenges in consolidating and refining such systems.
Iaith wreiddiolSaesneg
TeitlRough Sets, Fuzzy Sets, Data Mining and Granular Computing
Is-deitl12th International Conference, RSFDGrC 2009, Delhi, India, December 15-18, 2009. Proceedings
GolygyddionHiroshi Sakai, Mihir Kumar Chakroborty, Aboul Ella Hassanien, Dominik Ślęzak, William Zhu
CyhoeddwrSpringer Nature
Nifer y tudalennau14
ISBN (Electronig)978-3-642-10646-0
ISBN (Argraffiad)978-3-642-10645-3
Dynodwyr Gwrthrych Digidol (DOIs)
StatwsCyhoeddwyd - 2009
Digwyddiad12th International Conference, RSFDGrC 2009 - Delhi, India
Hyd: 15 Rhag 200918 Rhag 2009

Cyfres gyhoeddiadau

EnwLecture Notes in Computer Science
CyhoeddwrSpringer Berlin Heidelberg
ISSN (Argraffiad)0302-9743


Cynhadledd12th International Conference, RSFDGrC 2009
Cyfnod15 Rhag 200918 Rhag 2009

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