Investment decision model of crime prevention system based on expected monetary values of the economic loss caused by risks

Author(s):  
Haitao Lv ◽  
Ruimin Hu ◽  
Bin Huang ◽  
Tao Lu ◽  
Jingjing Dai
2010 ◽  
Vol 39 ◽  
pp. 568-574
Author(s):  
Jun Fei Chen ◽  
Jian Qiao Lin

As a new economical development mode, “low-carbon economic” is attracting more and more attention all over the world. In this paper, associating with the development background of the low-carbon industry, we applied the uncertainty set pair analysis (SPA) into the investment decision-making of the listed company, and established the investment decision model based on the uncertainty SPA. As a case, we made investment decision analysis to 12 typical low-carbon industrial listed companies selected. The results show that it is effective and applicable, and the research is helpful for the investors conducting decision-making.


2021 ◽  
Vol 15 (3) ◽  
pp. 605-612
Author(s):  
Igor’ M. Matskevich

Introduction: the article considers the concept of prevention in several aspects (social prevention, criminological prevention, situational prevention, evolutionary prevention). We describe the subjects implementing the prevention of offenses and consider the issue of public participation in this process in historical and modern periods. We focus our attention on the prevention of new crimes in the institutions of the Federal Penitentiary Service, emphasize its importance during the period of serving a sentence (educational techniques and methods) and after release (interaction of probation inspectorates with law enforcement agencies for the re-socialization of released convicts). We outline possible risks and difficulties of organizing crime prevention together with public organizations: determining preferences for activists; politicization of preventive work (obtaining additional electoral points); selection of activists (preventing the involvement of representatives of the criminal environment). In the context of considering ways to improve prevention, much attention is paid to the prevention of crime through technological innovations: control over people’s movement using a mobile phone; analysis of web browsing history; computer programs for crime prevention; compilation and maintenance of federal database programs; chipping, etc. The study is based on the accumulated experience of implementing preventive work, which is described in the sections “Prevention yesterday” and “Prevention today”. The article analyzes examples of crime prevention in Thailand, the U.S. etc., and reflects the results of implementation of the “Safe City” program in Moscow. The methodological basis of this study is represented by the axiological approach. Research problems were addressed with the use of general philosophical principles of dialectics and special methods of cognition: systematic, formal-legal, sociological, etc. Results: the public remains the most important element of the prevention system. It is necessary to develop and legally consolidate the relevant activities, for example, as it is done in Article 11 of the Federal Law “On the fundamentals of the system for prevention of neglect and juvenile delinquency”. Legal education should be the main weapon in the hands of the subjects of prevention. Elimination of crime should become the main direction of prevention.


2019 ◽  
Vol 2019 (23) ◽  
pp. 8919-8922
Author(s):  
Xia Qi ◽  
Dengchao Feng ◽  
Junjie Luo

2007 ◽  
Vol 2007 (0) ◽  
pp. _1P1-C03_1-_1P1-C03_4
Author(s):  
Shimpei TAKASHIMA ◽  
Akihiro IKEZOE ◽  
Masayoshi KONDO ◽  
Daisuke JINNO ◽  
Tatsuhito HARU ◽  
...  

2011 ◽  
Vol 474-476 ◽  
pp. 725-728 ◽  
Author(s):  
Li Deng ◽  
Fang Qiong Luo

In order to make a good decision in the projection investment, and the application of the projection pursuit model of particle swarm algorithm on the investment decision was studied in depth. Firstly, the development of the projection pursuit model of particle swarm algorithm was introduced, and then the brief introduction of PP and the step of constructing the PPC model were introduced. The basic theory and calculating procession of particle swarm algorithm was analyzed. And then the projection investment decision model was established. Finally a case study was carried out and the results showed that this method was simple and effective.


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