Research Article
A Novel Spectral Matching Algorithm to Application Environment Fitness Evaluation Method
@INPROCEEDINGS{10.1007/978-3-030-21730-3_15, author={Fan Cao and Jinpeng Wang and Zhipeng Wang and Wei Huang and Nianyu Zou}, title={A Novel Spectral Matching Algorithm to Application Environment Fitness Evaluation Method}, proceedings={Green Energy and Networking. 6th EAI International Conference, GreeNets 2019, Dalian, China, May 4, 2019, Proceedings}, proceedings_a={GREENETS}, year={2019}, month={6}, keywords={Solar simulator Spectral matching algorithm Application environment fitness Analytic hierarchy process Fuzzy comprehensive evaluation}, doi={10.1007/978-3-030-21730-3_15} }- Fan Cao
Jinpeng Wang
Zhipeng Wang
Wei Huang
Nianyu Zou
Year: 2019
A Novel Spectral Matching Algorithm to Application Environment Fitness Evaluation Method
GREENETS
Springer
DOI: 10.1007/978-3-030-21730-3_15
Abstract
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.
