An Application of AHP and FAHP on the Model Prediction

Xi Shang Dong; Huai Zhi Ma; Zhen Yang

doi:10.4028/www.scientific.net/AMM.687-691.1641

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 687-691An Application of AHP and FAHP on the Model...

An Application of AHP and FAHP on the Model Prediction

Abstract:

Analytic Hierarchy Process (AHP) and Fuzzy Analytic Hierarchy Process (FAHP) are important methods in model prediction. In this paper, a case concerning in how to estimate the serial criminal’s next possible crime location is researched. Two models are devised to determine the “geographical profile” of a suspected serial criminal. Model 1 is proposed that we use the AHP and consider many factors which may influence a criminal to choose his next crime location. Model 2 is an improvement of Model 1. It is a combination of the FAHP and the Fuzzy Comprehensive Evaluation Theory (FCET). And it overcomes the difficulty of dealing with uncertain factors, which model 1 cannot work. In the end, performances of the above models are analyzed.

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Periodical:

Applied Mechanics and Materials (Volumes 687-691)

Pages:

1641-1644

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.687-691.1641

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Online since:

November 2014

Authors:

Xi Shang Dong*, Huai Zhi Ma, Zhen Yang

Keywords:

AHP, Crime Location, FCET

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* - Corresponding Author

References

[1] http: /en. wikipedia. org/wiki/Peter_Sutcliffe.

Google Scholar

[2] Liu Qian, Li Tong, Xu Wei. Subjective and objective integrated method for fraud detection in financial systems. In: Proceedings of the 2009 International Conference on Machine Learning and Cybernetics, 2009, v 3, pp.1339-1345.

DOI: 10.1109/icmlc.2009.5212307

Google Scholar

[3] He Ping. An interactive intelligent analysis system in criminal investigation. Lecture Notes in Electrical Engineering, 2010, v 56 , pp.256-263.

Google Scholar

[4] Jin Li, Ping He. Extended automatic reasoning of criminal investigation. In: 2009 International Conference on Industrial Mechatronics and Automation, ICIMA 2009, pp.282-285.

DOI: 10.1109/icima.2009.5156616

Google Scholar

[5] Sen Ceyda Güngör, Sen Selçuk, Baslgil Hüseyin. Pre-selection of suppliers through an integrated fuzzy analytic hierarchy process and max-min methodology. International Journal of Production Research, 2010, v 48, n 6, pp.1603-1625.

DOI: 10.1080/00207540802577946

Google Scholar