@inproceedings{5119b389614c4bb08e21f22291ed3095,
title = "Multi-attribute cloud decision method based on linguistic assessment and its application in evaluation and selection of merging technology",
abstract = "The paper uses cloud model, and proposes a multi-attribute cloud decision method based on linguistic assessment. It includes mainly several parts as follows. First, the described rank cloud and the evaluated rank cloud respectively are presented to measure attribute rank and rank certainty degree. On the basis, cloud normalizing algorithm is presented to fuse several values of an attribute given by experts. Then, cloud aggregation algorithm is presented to integrate different attribute information and get every alternative value, and the most desirable alternative is selected according to their values. Cloud model can express the relationship between randomness and fuzziness, so the method is more effective to measure linguistic assessment information. Finally, an example with linguistic assessment information shows that the method is simple and feasible.",
keywords = "Cloud model, Linguistic assessment information, Multi-attribute decision",
author = "Guo, \{Chun Dong\} and Wu, \{Ai Yan\} and Wang, \{Xue Feng\} and Zhu, \{Dong Hua\} and Heng, \{Xiao Fan\} and Lu, \{Xiao Guang\}",
year = "2011",
doi = "10.1109/ICMLC.2011.6016805",
language = "English",
isbn = "9781457703065",
series = "Proceedings - International Conference on Machine Learning and Cybernetics",
publisher = "IEEE Computer Society",
pages = "494--500",
booktitle = "Proceedings of 2011 International Conference on Machine Learning and Cybernetics, ICMLC 2011",
address = "United States",
note = "10th International Conference on Machine Learning and Cybernetics, ICMLC 2011 ; Conference date: 10-07-2011 Through 13-07-2011",
}