A Classification Model to Evaluate the Security Level in a City Based on GIS-MCDA

Figueiredo, Ciro José Jardim de; Mota, Caroline Maria de Miranda

doi:10.1155/2016/3534824

Cited by 19 publications

(13 citation statements)

References 42 publications

(63 reference statements)

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“…Much less popular in spatial applications are the DRST and FRST theories for spatial data. DRST method was used for example for defining security level in regions of Brasilian city of Recife [44]. Another example is a use of DRST method for identifying which type of requalification to assign to certain traditional farm buildings in Italy [45].…”

Section: Rough Sets Current Research and Applicationsmentioning

confidence: 99%

The Role of Spatial Context Information in the Generalization of Geographic Information: Using Reducts to Indicate Relevant Attributes

Fiedukowicz

2020

IJGI

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Generalization of geographic information enables cognition and understanding not only of objects and phenomena located in space but also the relations and processes between them. The automation of this process requires formalization of cartographic knowledge, including information on the spatial context of objects. However, the question remains which information is crucial to the decisions regarding the generalization (in this paper: selection) of objects. The article presents and compares the usability of three methods based on rough set theories (rough set theory, dominance-based rough set theory, fuzzy rough set theory) that facilitate the designation of the attributes relevant to a decision. The methods are using different types (levels of measurements) of attributes. The author determines reducts and their cores (common elements) that show the relevance of attributes stemming from the spatial context. The fuzzy rough set theory method proved the least useful, whereas the rough set theory and dominance-based rough set theory methods seem to be recommendable (depending on the governing level of measurement).

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Section: Rough Sets Current Research and Applicationsmentioning

confidence: 99%

The Role of Spatial Context Information in the Generalization of Geographic Information: Using Reducts to Indicate Relevant Attributes

Fiedukowicz

2020

IJGI

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“…Doumpos et al [28] draw special attention to areas such as medicine, human resources, marketing, finance, and energy management. Other examples include civil construction [29], evaluating suppliers in supply chains [30], portfolio decision analysis [31], assessing human resource skills management [32], public safety [33], jobsatisfaction [34], location selection [35], and ranking credit risk algorithms. The use of MCDM/A for Risk Management decisions has been increasing lately.…”

Section: Mcdm/a For Credit Risk Ratingmentioning

confidence: 99%

Sovereign Credit Risk Assessment with Multiple Criteria Using an Outranking Method

Silva

et al. 2018

Mathematical Problems in Engineering

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In view of the records of failures in rating agencies’ assessments for sorting countries’ quality of credit in degrees of default risk, this paper proposes a multicriteria sorting model using reference alternatives so as to allocate sovereign credit securities into three categories of risk. From a numerical application, what was observed from the results was a strong adherence of the model in relation to those of the agencies: Standard & Poor's and Moody's. Since the procedure used by the agencies is extremely subjective and often questioned, the contribution of this paper is to put forward the use of an objective and transparent methodology to sort these securities. Given the agencies’ conditions for undertaking the assessment, a complete similarity between the results obtained and the assignments of the agencies was not expected. Therefore, this difference arises from subjective factors that the agencies consider but the proposed model does not. Such subjective and questionable aspects have been partly responsible for the credibility of these credit agencies being diminished, especially after the 2007-2008 crisis.

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“…In this paper, we combine the Full Disposal Hull (FDH) [20] directional efficiency measure for policing conditional to crime as an exogenous factor with the PROMETHEE outranking for a complete classification of Pernambuco's municipalities based on the efficiency of each police department in solving three types of crimes violent crimes (CVLI), street robberies (mugging) and carjack (or more generally motor vehicle theft and robbery) using officers as input and based on the effectiveness of reaching Pact for Life state goal on reducing homicides [5,21,22]. Some assessments of crime and policing in Pernambuco has used multicriteria and geospatial tools for ranking, clustering and classifying units and regions according to the vulnerability to homicides [23,24,25], preference learning [26,27], and property crimes [28,29]. Despite providing valuable support for policymakers, to the best of our knowledge, ranking regions or police units for public security purposes based on a multicriteria combination of Nonparametric Robust Estimators for the technical efficiency with measures for effectiveness of results is not featured in the current literature.…”

Section: Introductionmentioning

confidence: 99%

Multicriteria Ranking for Police Efficient and Effective Analysis

Nepomuceno¹,

Daraio²,

Costa³

2020

Preprint

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Nonparametric assessments of police technical and scale efficiency is challenging because of the stochastic nature of criminal behavior and because of the subjective dependence on multiple decision criteria, which can lead to a more or less efficiency prospect depending on the regulation, necessity, or organizational objective. There is a trade-off between efficiency and effectiveness in many police performance assessments, i.e., efficient departments (producing more clear-ups with a given resource) are crime-specialized or cannot reproduce those good results effectively on more severe or complex occurrences. This study proposes a combined methodology for carrying out efficiency and effectiveness analysis of Police departments. A conditional non-parametric approach, which allows to include crime as an external factor in the analysis, is combined with a non-compensatory ranking based on the PROMETHEE II methodology for the approach illustrated on the multidimensional efficiency and effectiveness comparison of 145 Pernambuco (Brazil)'s police departments. The application results offer compelling perspectives for public administrations concerning the strategic prioritization of units for rewards or interventions.

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A Classification Model to Evaluate the Security Level in a City Based on GIS-MCDA

Cited by 19 publications

References 42 publications

The Role of Spatial Context Information in the Generalization of Geographic Information: Using Reducts to Indicate Relevant Attributes

The Role of Spatial Context Information in the Generalization of Geographic Information: Using Reducts to Indicate Relevant Attributes

Sovereign Credit Risk Assessment with Multiple Criteria Using an Outranking Method

Multicriteria Ranking for Police Efficient and Effective Analysis

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