Neural Networks and Rules-based Systems used to Find Rational and Scientific Correlations between being Here and Now with Afterlife Conditions
Neural Networks and Rules-based Systems used to Find Rational and
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The paper examines the socio economic attributes of residents (SEC); building and environmental features (BEF), residential crime magnitude, fear of crime events, fear of neighbourhood and households’ safety measures in Ibadan, Zaria and Owerri with a view to establish a relationship between them. Four indices were developed. These are ‘Residential Crime Magnitude’ (RCM), ‘Fear of Crime Events Index’ (FCEI), ‘Fear of Neighbourhood’ (FNI) and ‘Household Safety Measures Index’ (HSMI). The study observed a significant relationship between low attributes of BEF, low attributes of SEC, low attributes of RCM and low attributes of HSMI, low attributes of FNI and low attributes of FCEI. Among SEC, BEF and RCM, BEF was identified as the strongest dependent variable informing residents’ response to crime. Thus any meaningful intervention at crime control must first begin with decision on building and environmental features that discourages crime incidence and reduces fear of crime.
foadigun. 2013. \u201cCorrelates of Residentsa Response to Crime in Nigerian Cities\u201d. Global Journal of Human-Social Science - F: Political Science GJHSS-F Volume 13 (GJHSS Volume 13 Issue F5): .
Crossref Journal DOI 10.17406/GJHSS
Print ISSN 0975-587X
e-ISSN 2249-460X
The methods for personal identification and authentication are no exception.
Total Score: 108
Country: Nigeria
Subject: Global Journal of Human-Social Science - F: Political Science
Authors: Dr. Adigun, Folasade Oyenike, Prof. Adedibu A. Afolabi (PhD/Dr. count: 1)
View Count (all-time): 161
Total Views (Real + Logic): 4816
Total Downloads (simulated): 2438
Publish Date: 2013 09, Wed
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The paper examines the socio economic attributes of residents (SEC); building and environmental features (BEF), residential crime magnitude, fear of crime events, fear of neighbourhood and households’ safety measures in Ibadan, Zaria and Owerri with a view to establish a relationship between them. Four indices were developed. These are ‘Residential Crime Magnitude’ (RCM), ‘Fear of Crime Events Index’ (FCEI), ‘Fear of Neighbourhood’ (FNI) and ‘Household Safety Measures Index’ (HSMI). The study observed a significant relationship between low attributes of BEF, low attributes of SEC, low attributes of RCM and low attributes of HSMI, low attributes of FNI and low attributes of FCEI. Among SEC, BEF and RCM, BEF was identified as the strongest dependent variable informing residents’ response to crime. Thus any meaningful intervention at crime control must first begin with decision on building and environmental features that discourages crime incidence and reduces fear of crime.
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