A Method Adjusting Consistency and Consensus for Group Decision-Making Problems with Hesitant Fuzzy Linguistic Preference Relations Based on Discrete Fuzzy Numbers
Algorithm 2
Input: HFLPRs , and the number of clusters ().
Output: Clusters .
Step 1. , which keeps upper triangular elements of each HFLPR. Then, let , so .
Step 2. Chose cluster centers as the initial mean vectors randomly, that is, Let .
Step 3. Assign each to the closest cluster center. Firstly, calculate ; then, we get . Finally, we say .
Step 4. Using the membership information from the current clusters to recalculate the cluster center, assume that the new cluster centers are and .
Step 5. We set a convergence criterion, and let ; that is, .
If the criterion is met, go to the next step. Otherwise, go to Step 3.
