this paper presents a fuzzy decision-making approach to deal with a clustering supplier problem in a supply chain system. during recent years, determining suitable suppliers in the supply chain has become a key strategic consideration. however, the nature of these decisions is usually complex and unstructured. in general, many quantitative and qualitative factors, such as quality, price, and fl...

From one election to another, crime remains one of the biggest social and political issues, and it is a favourite subject of campaign promises by politicians. Crime imposes large costs onto society which are not taken into account by official measures of well-being and happiness of the nations. In addition, crime responds to economic conditions and incentives, which is well accepted among econo...

Recent studies have produced conflicting findings about the impacts of local nonresidential land uses on perceived incivilities. This study advances work in this area by developing a land-use perspective theoretically grounded in Brantingham and Brantingham’s geometry of crime model in environmental criminology. That focus directs attention to specific classes of land uses and suggests relevanc...

Urban crime has increasingly become a major issue for Chinese cities. Using crime data collected at police precincts in 2008, the main aim of this research is to examine the spatial distribution of property crime which accounted for almost 82% of all crimes in the city of Changchun, and analyze the relationship between the spatial patterns of property crime and neighborhood characteristics. Sta...

Cressey’s [1] fraud triangle examined the motivation for crime. McMahon et al. [2] suggest there is a need to move beyond the traditional fraud triangle to fight white-collar crime. In this article, we suggest a white-crime triangle which includes financial motive, organizational opportunity and deviant behavior. The suggested white-collar crime triangle is based on convenience theory [3], wher...

Crime reduction remains a critical challenge in modern societies. Thus, identifying regions in a city with an elevated risk for future crimes is of high interest to plan prevention strategies. Attempts have been made to apply various statistical and machine learning techniques to predict crime, while computational methods such as agent-based modeling (ABM) can account for the offender and its i...

My subject is “crime,” and this book is a manual of its body. A manual of “crime” in quotation marks (a manual of crime and quotation marks), because I use the word not in its legal sense, but rather in all senses of the term. And because my field is fiction: sexual, racial, social, and economic “crime tales,” tales of professions, trades, and states. Those that form The Corpus Delicti: A Manua...

In this paper, we propose a method to find the safest path between two locations, based on the geographical model of crime intensities. We consider the police records and news articles for finding crime density of different areas of the city. It is essential to consider news articles as there is a significant delay in updating police crime records. We address this problem by updating the crime ...