Exponential-Trigonometry Intuitionistic Fuzzy Divergence Measure
Rozy Boora1, V.P. Tomar2
1Rozy Boora, Department of Mathematics, Deenbandhu Chhotu Ram University of Science and Technology, Murthal (Haryana), India.
2Dr. Vijay Prakash Tomar, Associate Professor, Department of Mathematics, Deenbandhu Chhotu Ram University of Science and Technology, Murthal (Haryana), India.
Manuscript received on 28 November 2022 | Revised Manuscript received on 18 December 2022 | Manuscript Accepted on 15 January 2023 | Manuscript published on 30 January 2023 | PP: 1-9 | Volume-9 Issue-5, January 2023 | Retrieval Number: 100.1/ijbsac.D0475129422 | DOI: 10.35940/ijbsac.D0475.019523
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© The Authors. Published By: Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: Based on the exponential and trigonometry functions, a new divergence measure is introduced under the intuitionistic fuzzy environment. The Intuitionistic Fuzzy Divergence Measure is an indispensable instrument to calculate the variance between two intuitionistic fuzzy sets. Many attractive properties are displayed to enhance the value of introduced intuitionistic fuzzy divergence measure. Many existing divergence measures are reviewed with their counter-intuitive examples. Finally, the invented divergence measure is applicative in the field of medical deliverance to differentiate between diseases with nearby same symptoms, pattern recognition to categorize the unknown into one of the known pattern.
Keywords: Intuitionistic Fuzzy Sets, Fuzzy Sets, Divergence measure, Pattern Recognition, Medical Deliverance.
Scope of the Article: Set Theory