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. 2024 Mar 29;9(4):208. doi: 10.3390/biomimetics9040208
Algorithm 1: Distance-based parameter reduction algorithm of interval-value neutrosophic soft sets
Input: (F, E) (interval-valued neutrosophic soft set), E (parameter set), and threshold λ
Output: (E − A) (an optimal choice considered parameter reduction in IVNS-SOFT).
BEGIN
1. Compute the weighted matrix U=(uij)m×n, for 1 ≤ i ≤ n,1 ≤ j ≤ m.
2. Let j = 1.
3. For =1 to (uij), perform the following.
4. Calculate distances for all pairs of j parameters. j = 1, 2, …, m.
5. Obtain the distance matrix D = (dkl)m×m, for 1 ≤ k ≤ m,1 ≤ l ≤ m.
6. If the distance between parameters k and l is less than the threshold λ, then perform the following.
7. Consider parameters k and l to be similar, keep one parameter and place another set A of the reduction parameters.
8. Obtain the new interval-valued neutrosophic soft set (E−A) after parameter reduction.
9. Return (E−A).
END