Implementation of Neutrosophic Function Memberships Using MATLAB Program

Authors

  • S. Broumi Laboratory of Information Processing, Faculty of Science Ben M’Sik, University Hassan II, B.P 7955, Sidi Othman, Casablanca, Morocco
  • D. Nagarajan Department of Mathematics, Hindustan Institute of Technology & Science, Chennai-603 103, India
  • A. Bakali Ecole Royale Navale, Boulevard Sour Jdid, B. P 16303 Casablanca, Morocco
  • M. Talea Laboratory of Information Processing, Faculty of Science Ben M’Sik, University Hassan II, B.P 7955, Sidi Othman, Casablanca, Morocco
  • F. Smarandache Department of Mathematics, University of New Mexico, 705 Gurley Avenue, Gallup, NM 87301, USA
  • M.Lathamaheswari Department of Mathematics, Hindustan Institute of Technology & Science, Chennai-603 103, India
  • J. Kavikumar Department of Mathematics and Statistics, Faculty of Applied Science and Technology, Universiti Tun Hussein Onn, Malaysia

Keywords:

Membership function, Matlab code, Trapezoidal neutrosophic function, Graphical representation

Abstract

Membership function (MF) plays a key role for getting an output of a system and hence it influences system’s performance directly. Therefore choosing a MF is an essential task in fuzzy logic and neutrosophic logic as well. Uncertainty is
usually represented by MFs. In this paper, a novel Matlab code is derived for trapezoidal neutrosophic function and the validity
of the proposed code is proved with illustrative graphical representation

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Published

2019-06-20

Issue

Section

SI#1,2024: Neutrosophical Advancements And Their Impact on Research

How to Cite

S. Broumi, D. Nagarajan, A. Bakali, M. Talea, F. Smarandache, M.Lathamaheswari, & J. Kavikumar. (2019). Implementation of Neutrosophic Function Memberships Using MATLAB Program. Neutrosophic Sets and Systems, 27, 44-52. http://fs.unm.edu/nss8/index.php/111/article/view/4212

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