Using the Cloud-Bayesian Network in Environmental Assessment of Offshore Wind-Farm Siting

Algorithm 1

Input: Data sample set , confusion degree of concepts

Output: Number of Gaussian clouds according to concept

Step1: Calculate the number of peaks of the frequency distribution of , as the initial value of the concept

Step2: Adopt heuristic Gaussian cloud transform (H-GCT) to cluster into Gaussian clouds

Step3: Compare confusion degree of Gaussian cloud according to , adjust the number of concepts

Step4: Loop Step to generate Gaussian clouds with confusion degree less than