Bibliographic Details
| Title: |
An innovative method for offshore wind farm site selection based on the interval number with probability distribution. |
| Authors: |
Yunna Wu, Kaifeng Chen, Hu Xu, Chuanbo Xu, Haobo Zhang, Meng Yang |
| Superior Title: |
Engineering Optimization; Dec2017, Vol. 49 Issue 12, p2174-2192, 19p |
| Subject Terms: |
WIND power plants, OFFSHORE electric power plants, INDUSTRIAL sites, INTERVAL analysis, STOCHASTIC analysis, PROBABILITY theory |
| Abstract: |
There is insufficient research relating to offshore wind farm site selection in China. The current methods for site selection have some defects. First, information loss is caused by two aspects: the implicit assumption that the probability distribution on the interval number is uniform; and ignoring the value of decision maker's (DM's) common opinion on the criteria information evaluation. Secondly, the difference in DM's utility function has failed to receive attention. An innovative method is proposed in this article to solve these drawbacks. First, a new form of interval number and its weighted operator are proposed to reflect the uncertainty and reduce information loss. Secondly, a new stochastic dominance degree is proposed to quantify the interval number with a probability distribution. Thirdly, a two-stage method integrating the weighted operator with stochastic dominance degree is proposed to evaluate the alternatives. Finally, a case from China proves the effectiveness of this method. [ABSTRACT FROM AUTHOR] |
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| Database: |
Complementary Index |
