Methodological Approach to Application of Intuitionistic Fuzzy Similarity Measure in Dementia Patients Assessment
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Description
Measures are as many as the broad significance and applicability of similarity and distance measures whose suitability depends on the application area like pattern recognition, hierarchical cluster analysis, approximate analogical reasoning, rule matching in fuzzy control, neural networks, query processing with different fuzzy semantics. Similarity measures are based on set operations like union, intersection, maximum difference, symmetric difference etc. Similarity measure is a scientific measure for determining the degree of similarity between two objects. On the other hand, distance measure is the dual concept of similarity measure. Intuitionistic fuzzy sets make descriptions of the objective world become more realistic, practical, accurate and promising. It has diverse application to fields like data processing, identification of functional dependency relationship between concepts in data mining systems, approximate reasoning, pattern recognition, decision making, medical diagnosis, logic programming, sale analysis and new product marketing.