Intuitionistic Nanogonal Fuzzy Numbers and its Application in FDE
C. Jesuraj1, A. Rajkumar2
1C. Jesuraj Research Scholar, Hindustan Institute of Technology and Science, Chennai. India Department of Mathematics, IFET College of Engineering-Villupuram, India.
2A. Rajkumar, Department of Mathematics, Hindustan Institute of Technology and Science, Chennai, India.
Manuscript received on 14 March 2019 | Revised Manuscript received on 20 March 2019 | Manuscript published on 30 July 2019 | PP: 902-909 | Volume-8 Issue-2, July 2019 | Retrieval Number: B1687078219/19©BEIESP | DOI: 10.35940/ijrte.B1687.078219
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© The Authors. 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: In this paper, we have introduced a new way to solve an ordinary differential equation by using Nanogonal intuitionistic fuzzy numbers. A new version of INFN addressed here. Here we formed different types of NIFN System and we discussed the properties said fuzzy numbers. Demonstration of Nanogonal intuitionistic fuzzy solution in FDE is carried out with INFN.Finally one examples problem also solved with pictorial representation of said method.
Keywords: Fuzzy Differential Equation, Fuzzy Numbers, INFN.
Scope of the Article: Fuzzy Logics