@article{Zhu_Wen_Zhou_Xiao_2014, author = {Zhu, Man and Wen, Yuanqiao and Zhou , C.H. and Xiao, Changshi}, title = {Comprehensive Evaluation Cloud Model for Ship Navigation Adaptability}, journal = {TransNav, the International Journal on Marine Navigation and Safety of Sea Transportation}, volume = {8}, number = {3}, pages = {331-336}, year = {2014}, url = {./Article_Comprehensive_Evaluation_Cloud_Zhu,31,513.html}, abstract = {In this paper, using cloud model and Delphi, we build a comprehensive evaluation cloud model to solve the problems of qualitative description and quantitative transformation in ship navigation adaptability comprehensive evaluation. In the model, the normal cloud generator is used to find optimal cloud models of reviews and evaluation factors. The weight of each evaluation factor is determined by cloud model and Delphi. The floating cloud algorithm is applied to aggregate the bottom level's evaluation factors, and comprehensive cloud algorithm is used to aggregate the highest level?s evaluation factors to get comprehensive evaluation cloud model. Finally, evaluation result is got by matching comprehensive evaluation cloud model and optimal cloud model of reviews. As case study, the model is applied to the small LNG ship's navigation adaptability in Southeast Asia. Compared with the fuzzy comprehensive evaluation method, the model proposed in this paper is more intuitive and reliable in comprehensive evaluation of the small LNG ship's navigation adaptability.}, doi = {10.12716/1001.08.03.01}, issn = {2083-6473}, publisher = {Gdynia Maritime University, Faculty of Navigation}, keywords = {Cloud Computing, Cloud Model, Marine Navigation, Delphi, Qualitative Description, Quantitative Transformation, Cloud Algorithm, Fuzzy Comprehensive Evaluation Method} }