Fuzzy Knowledge Distance with Three-Layer Perspectives in Neighborhood System
Algorithm 1
(1)
Set a neighborhood parameter and granulate the dataset to form neighborhood granules ,.
(2)
Compute distance matrix of neighborhood granules by using formula (4).
(3)
Compute local density and relative distance of .
(4)
Establish the structure of neighborhood granules by making each granule to its unique nearest granule with higher according to the results of steps 2 and 3.
