Fuzzy Sets and Rough Sets for Scenario Modelling and Analysis

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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 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.
Original languageEnglish
Title of host publicationRough Sets, Fuzzy Sets, Data Mining and Granular Computing
Subtitle of host publication12th International Conference, RSFDGrC 2009, Delhi, India, December 15-18, 2009. Proceedings
EditorsHiroshi Sakai, Mihir Kumar Chakroborty, Aboul Ella Hassanien, Dominik Ślęzak, William Zhu
PublisherSpringer Nature
Pages45-58
Number of pages14
ISBN (Electronic)978-3-642-10646-0
ISBN (Print)978-3-642-10645-3
DOIs
Publication statusPublished - 2009
Event12th International Conference, RSFDGrC 2009 - Delhi, India
Duration: 15 Dec 200918 Dec 2009

Publication series

NameLecture Notes in Computer Science
PublisherSpringer Berlin Heidelberg
Volume5908
ISSN (Print)0302-9743

Conference

Conference12th International Conference, RSFDGrC 2009
Country/TerritoryIndia
CityDelhi
Period15 Dec 200918 Dec 2009

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