Why Sine Membership Functions

Authors

Sofia Holguin, The University of Texas at El PasoFollow
Javier Viaña, University of CincinnatiFollow
Kelly Cohen, The University of CincinnatiFollow
Anca Ralescu, The University of CincinnatiFollow
Vladik Kreinovich, The University of Texas at El PasoFollow

Publication Date

1-1-2022

Comments

Technical Report: UTEP-CS-22-08

Abstract

In applications of fuzzy techniques to several practical problems -- in particular, to the problem of predicting passenger flows in the airports -- the most efficient membership function is a sine function; to be precise, a portion of a sine function between the two zeros. In this paper, we provide a theoretical explanation for this empirical success.