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Mediative Fuzzy Extension Technique and Its Consistent Measurement in the Decision Making of Medical Application
Author(s) -
M. K. Sharma,
Nitesh Dhiman,
Lakshmi Narayan Mishra,
Vishnu Narayan Mishra,
Suresh Kumar Sahani
Publication year - 2021
Publication title -
mathematical problems in engineering
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.262
H-Index - 62
eISSN - 1026-7077
pISSN - 1024-123X
DOI - 10.1155/2021/5530681
Subject(s) - extension (predicate logic) , fuzzy set operations , fuzzy logic , fuzzy classification , ranking (information retrieval) , defuzzification , type 2 fuzzy sets and systems , data mining , fuzzy set , fuzzy number , artificial intelligence , computer science , medical diagnosis , mathematics , interpretation (philosophy) , medicine , pathology , programming language
The notion of fuzzy set theory has not so far been districted over medical diagnosis. There are some added applications, for example, in image processing, pattern identification, and many medical devices. In this research article, we introduced a new mediative fuzzy ranking technique as the fuzzy extension in decision making. The proposed mediative fuzzy logic-based technique is more relevant and applicable to incomplete and doubtful situations or some contradictions present in the expert knowledge. The value of the contradictory degree for mediative fuzzy sets used in the extension principle is dened. The proposed mediative fuzzy ranking method is easily implemented in the medical field, and the proposed mediative fuzzy extension-based measured technique is useful to medical experts and doctors in many decision-making situations; the entire work is illustrated with numerical examples. We have also given some future aspects of mediative fuzzy extension in the interpretation of type-2 intuitionistic fuzzy sets.

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