NONSTANDARD FUZZY MATHEMATICS
In this paper, we extend the concept of fuzzy mathematics to nonstandard mathematics. This is accomplished by extending the notion of a fuzzy subset of a set as a function of the set into [0, 1] by replacing [0, 1] with the nonstandard unit interval Our main focus is to develop the ideas of fuzzy complements, fuzzy t-norm, and fuzzy t-conorms for nonstandard fuzzy subsets.
fuzzy mathematics, nonstandard analysis, natural extension, transfer principle, nonstandard unit interval, standard part.
Received: September 29, 2021; Revised: October 7, 2021; Accepted: October 31, 2021; Published: November 17, 2021
How to cite this article: John N. Mordeson and Sunil Mathew, Nonstandard Fuzzy Mathematics, Advances in Fuzzy Sets and Systems 27(1) (2022), 35-52. DOI: 10.17654/0973421X22035
This Open Access Article is Licensed under Creative Commons Attribution 4.0 International License
References:
[1] I. Goldberg, Lecture notes on nonstandard analysis, UCLA Summer School in Logic, 2014.[2] T. Imamura, Note on the definition of neutrosophic logic, arXiv:1811.02961v1 [math.LO] 7 Nov. 2018.[3] G. J. Klir and Bo Yuan, Fuzzy Sets and Fuzzy Logic: Theory and Applications, Prentice Hall PTR, Upper Saddle River, New Jersey, 1995.[4] P. A. Loeb and M. Wolff, Nonstandard Analysis for the Working Mathematician, Kluwer, 2000.[5] J. N. Mordeson, S. Mathew and M. Binu, Applications of Mathematics of Uncertainty: Grand Challenges, Human Tracking, Coronavirus, Biodiversity, and Extinction, Studies in Systems, Decision and Control, Springer, in press.[6] D. A. B. Rayo, Introduction to non-standard analysis, http://math.uchicago.edu REUPapers 2015.[7] A. Robinson, Nonstandard Analysis, North-Holland Publishing Co., 1966.[8] E. Stauton (R. Ryan Supervisor), Infinitesimals, nonstandard analysis and applications to finance, NUI Galway OE Gaillimh, National University of Ireland, Galway, 2013.