Crime linkage: A fuzzy MCDM approach

Albertetti, Fabrizio; Cotofrei, Paul; Grossrieder, Lionel; Ribaux, Olivier; Stoffel, Kilian

doi:10.1109/isi.2013.6578772

Cited by 5 publications

(6 citation statements)

References 10 publications

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“…In the domain of crime analysis, such flexible and intuitive approaches for change points detection are particularly sought, especially for crime trends monitoring. Previous studies from the authors ( [1], [2], [3], and [4]) emphasize on the usefulness of crime trends monitoring activities and advocate the use of appropriate methods for considering the specificities and the constraints of the crime analysis domain, that is basically dealing with uncertainties. The automated process of change points detection is considered as a major step in the production of intelligence, supporting the activity of crime analysis (also sometimes referred to crime intelligence).…”

Section: Motivationmentioning

confidence: 99%

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Change points detection in crime-related time series: An on-line fuzzy approach based on a shape space representation

Albertetti

Grossrieder

Ribaux

et al. 2016

Applied Soft Computing

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Section: Motivationmentioning

confidence: 99%

“…. , y 10 ), the change points x detected are x 3 and x 7 ; then x = (3, 7), W(s) = {s (1) , s (2) , s (3) }, with s (1) = (y 0 , y 1 , y 2 , y 3 ), s (2) = (y 4 , y 5 , y 6 , y 7 ), s (3) = (y 8 , y 9 , y 10 ). It has to be emphasized that these contiguous windows do not need to have the same size.…”

Section: Segmenting Time Seriesmentioning

confidence: 99%

Change points detection in crime-related time series: An on-line fuzzy approach based on a shape space representation

Albertetti

Grossrieder

Ribaux

et al. 2016

Applied Soft Computing

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“…In the existing literature, some papers adeal with crime by applying an MCDM framework. However, all of them examined the root of crimes by using these techniques instead of making a performance analysis on this issue (Manning et al 2013;Albertetti et al 2013;Shamsuddin et al, 2012). Although these papers are valuable, they are not related to the scope of the current paper, and they used traditional MCDM approaches, which has many drawbacks and limitations.…”

Section: Introductionmentioning

confidence: 99%

30 Years of Independent Macedonian State

2021

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The subject of this paper is the trust in the police analyzed through the research results gathered in the period from 2009 to 2021. Trust is an indicator of community expectations and hopes for the position, role, and tasks of the police; it appears as a moment of particular importance for the quality of the relationship between the police and the citizens. It correlates with the expectations of the citizens and the activities it really does for them. If the degree of closeness between the citizens' expectations and the real role of the police is greater, then it is expected that citizens would be more satisfied with the police, pay respect to it and have more positive attitude towards it.Previous findings have determined that citizens' expectations are concentrated around four basic police roles: a) property protection; b) maintaining public order and peace and solving their specific problems; c) to hear the information provided by them and to act preventively and d) to be near them as a symbol of order and strength, i.e., as a guarantee of previous expectations. It is about the main expectation of the citizens from the police, to provide safety of their life and property and to restore and ensure peace and tranquility in their surrounding, i.e., to deprive them of the fear of crime and discomfort due to disturbing the peace.

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“…To do so, several mathematical methods that effectively compute these similarities can be put altogether. This paper is an extension of a preliminary study [1]. It is supported by the Swiss National Science Foundation (SNSF) [project 135236].…”

Section: Introductionmentioning

confidence: 99%

“…As an extension of a preliminary study [1] describing a crime linkage method, this current paper provides further work with a step-by-step methodology, thorough theoretical foundations, detailed experiments and interpreted results.…”

Section: Introductionmentioning

confidence: 99%

The CriLiM Methodology: Crime Linkage with a Fuzzy MCDM Approach

Albertetti

Cotofrei

Grossrieder

et al. 2013

2013 European Intelligence and Security Informatics Conference

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Grouping events having similarities has always been interesting for analysts. Actually, when a label is put on top of a set of events to denote they share common properties, the automation and the capability to conduct reasoning with this set drastically increase. This is particularly true when considering criminal events for crime analysts; conjunction, interpretation and explanation can be key success factors to apprehend criminals. In this paper, we present the CriLiM methodology for investigating both serious and high-volume crime. Our artifact consists in implementing a tailored computerized crime linkage system, based on a fuzzy MCDM approach in order to combine spatio-temporal, behavioral, and forensic information. As a proof of concept, series in burglaries are examined from real data and compared to expert results.

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Crime linkage: A fuzzy MCDM approach

Cited by 5 publications

References 10 publications

Change points detection in crime-related time series: An on-line fuzzy approach based on a shape space representation

Change points detection in crime-related time series: An on-line fuzzy approach based on a shape space representation

30 Years of Independent Macedonian State

The CriLiM Methodology: Crime Linkage with a Fuzzy MCDM Approach

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