Similarity measures for Analyzing Medical Diagnostic Problems and Hamlet's Amenities with Intuitionistic fuzzy Set

Abstract

The survey's validity is determined by the dependability and correctness of the data collected. Conventional models surveys usually ask people who responded to select a single number within zero and one. Furthermore, this kind of approach may not correctly express human views,. particularly when questions incorporate linguistics phrases such as "high," "moderate," or "low." The human evaluations are typically vague, unreliable, and lacking of assurance or certainty.To overcome this constraint, Intuitionistic Fuzzy Sets (IFS) provide an effective reasoning. As opposed to traditional fuzzy sets, IFS consider three factors: the degree of membership, the degree of non-membership, and the degree of hesitation. This approach allows various individuals to communicate what they think both casually and clearly, expressing the uncertainty that comes with making real-life decisions.In this study, an Intuitionistic fuzzy approaches is combined by using a Modified Cosine similarity metric to evaluate a village facilities and essential amenity. This methodology helps the respondents to identify not only their degree of consent or disapproval, but it also indicates their ambiguity while comparing several features. Therefore an outcome, it provides a better and more reliable measurement than the conventional assessment methods.The proposed method provides in identifying most of the essential facilities and fundamental amenities required for community growth. Furthermore, the same concept can be used efficiently to solve medical diagnosis difficulties involving uncertainty and ambiguity. The Modified Cosine Similarity Measure increases making decisions with accuracy by clearly showing the difference between various options.