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General Information
Editor-in-chief
Prof. Adrian Olaru
University Politehnica of Bucharest, Romania
I'm happy to take on the position of editor in chief of IJMO. It's a journal that shows promise of becoming a recognized journal in the area of modelling and optimization. I'll work together with the editors to help it progress.
IJMO 2013 Vol.3(2): 144-147 ISSN: 2010-3697
DOI: 10.7763/IJMO.2013.V3.255

Research on ADC Model Based on Improved Analytic Hierarchy Process

Guoqing Huang, Pengfei Wang, and Mingxu Wang

Abstract—ADC model has been widely used in effectiveness evaluation, and the capability matrix C plays a vital role when building ADC model. Based on the analysis of ADC model, construct the matrix C by the improved Analytic Hierarchy Process (AHP) is proposed. The problems of traditional AHP are analyzed, which exist in the structure of capability matrix C. Then, the approximate degree used to solve the weight of judgment matrix is simulated and analyzed. Based on the analysis and the simulation, the improved AHP is proposed combined with entropy method. The results show that the improved AHP is not only to solve the weight of judgment matrix, but also to solve the difficulty when structuring capability matrix C.

Index Terms—ADC model, capability matrix C, improved AHP, approximate degree, judgment matrix, weight.

Guoqing Huang is with the School of Information Engineering, Zhengzhou University, Zhengzhou, China and Department of Aeronautic Electronic Engineering, The First Aeronautical College of Air Force, Xinyang, China (e-mail: fei30923@gmail.com).
Pengfei Wang and Mingxu Wang are with the School of Information Engineering, Zhengzhou University, Zhengzhou, China (e-mail: wmxxg66@yahoo.com.cn).

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Cite:Guoqing Huang, Pengfei Wang, and Mingxu Wang, "Research on ADC Model Based on Improved Analytic Hierarchy Process," International Journal of Modeling and Optimization vol. 3, no. 2, pp. 144-147, 2013.

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