A Novel Spectral Matching Algorithm to Application Environment Fitness Evaluation Method

The performance of the spectral matching algorithm of the solar simulator is affected by many factors, such as software performance, hardware performance, application environment and so on. The evaluation of spectral matching algorithm to application environment fitness is the premise of selecting the most suitable algorithm. The analytic hierarchy process (AHP) - fuzzy comprehensive evaluation method is used to evaluate the fitness. Firstly, the evaluation index system is established; secondly, the weight of each index is determined by AHP; finally, the fitness evaluation result is obtained by fuzzy comprehensive evaluation method. According to the comparison between the evaluation method of this paper and the experimental results of expert evaluation, it can be seen that the accuracy of the evaluation method in this paper is high, and the evaluation rules basically meet the requirements.

[1]  I. Antón,et al.  Solar simulator for concentrator photovoltaic systems. , 2008, Optics express.

[2]  Robert J. Marks,et al.  Electric load forecasting using an artificial neural network , 1991 .

[3]  Paul Geladi,et al.  Principal Component Analysis , 1987, Comprehensive Chemometrics.

[4]  Christophe Ballif,et al.  Class AAA LED-Based Solar Simulator for Steady-State Measurements and Light Soaking , 2014, IEEE Journal of Photovoltaics.

[5]  Maximilian L. D. Scherff,et al.  Spectral mismatch and solar simulator quality factor in advanced LED solar simulators , 2017 .

[6]  Kosuke Kurokawa,et al.  A fundamental experiment for discrete-wavelength LED solar simulator , 2006 .

[7]  Thomas L. Saaty,et al.  How to Make a Decision: The Analytic Hierarchy Process , 1990 .

[8]  Kui Xu,et al.  Multiple flood vulnerability assessment approach based on fuzzy comprehensive evaluation method and coordinated development degree model. , 2018, Journal of environmental management.

[9]  Thomas L. Saaty,et al.  Models, Methods, Concepts & Applications of the Analytic Hierarchy Process , 2012 .

[10]  ML Zhang,et al.  Fuzzy Comprehensive Evaluation Method Applied in the Real Estate Investment Risks Research , 2012 .

[11]  H. Veisi,et al.  Developing an ethics-based approach to indicators of sustainable agriculture using analytic hierarchy process (AHP) , 2016 .

[12]  Wojciech Lipiński,et al.  Experimental and numerical characterization of a new 45 kWel multisource high-flux solar simulator. , 2016, Optics express.

[13]  Jialong Jiao,et al.  Assessment of surface ship environment adaptability in seaways: A fuzzy comprehensive evaluation method , 2016 .

[14]  Yaolong Liu,et al.  The assessment of traffic accident risk based on grey relational analysis and fuzzy comprehensive evaluation method , 2017, Natural Hazards.

[15]  Li Xu An improvement on fuzzy comprehensive evaluation method and its use in urban traffic planning , 2002 .