Abstract— We analytically show that the findings of pattern recognition problems with weighted similarity measures under intuitionistic fuzzy sets environment that is dominated by relative weights of elements in the universe of discourse for the discrete case and the weighted function for the continuous case. In the past, researchers focus on constructing new similarity measures or developing new algorithms applying their similarity measures. Hence, previous results depended on a special weight to decide the pattern of the sample that may be required further considerations. How to select a proper weight will be an important issue for researchers in the future when deal with pattern recognition problems.
Keywords— Pattern recognition, intuitionistic fuzzy sets, similarity measure.
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