$(m,n)$-FUZZY DISTANCE MEASURES AND THEIR APPLICATIONS TO PATTERN RECOGNITION PROBLEMS
Print ISSN: 0972-7752 | Online ISSN: 2582-0850 | Total Downloads : 31
DOI: https://doi.org/10.56827/SEAJMMS.2025.2101.12
Author :
Samajh Singh Thakur (Department of Applied Mathematics, Jabalpur Engineering College, Jabalpur - 482011, Madhya Pradesh, INDIA)
Alpa Singh Rajput (Department of Mathematics, DIT University, Dehradun, Uttarakhand, INDIA)
Archana Kumari Prasad (Department of Mathematics, Swami Vivekanand Government College, Lakhnadon - 480886, Madhya Pradesh, INDIA)
Mahima Thakur (Department of Applied Mathematics, Jabalpur Engineering College, Jabalpur - 482011, Madhya Pradesh, INDIA)
Abstract
The (m,n)-fuzzy sets are an effective and efficient tool for depicting vagueness and uncertainty in information in decision making. The present paper created logarithmic and tangent inverse distance measures for (m,n)-FSs and explores some of their properties.Numerical examples are presented to show the validity and effectiveness of proposed distance measures.
Keywords and Phrases
(m, n)-fuzzy sets, distance measure of (m, n)-fuzzy sets, pattern recognition.
A.M.S. subject classification
03E72, 68T10, 90B50.
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