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Seven kinds of closeness degree method was researched with example, computation and theory analysis in this paper and their limitations in application was found. Based on the fluctuation around the general characteristic for most things, a new method of closeness degree was proposed and it was named “Fluctuant closeness degree”. In this paper, the process of the new method how proposed was explained...
In order to avoid error recognition in fuzzy pattern recognition, a new algorithm of closeness degree was proposed to calculate the similarity on a certain characteristic between the typical pattern and the pattern to be recognized, then a function of similarity degree was established. This algorithm featured in combining the membership degree with closeness degree by distributing different weights...
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