How to Define "and"- and "or"-Operations for Intuitionistic and Picture Fuzzy Sets

Authors

Christian Servin, El Paso Community CollegeFollow
Reynaldo Martinez, The University of Texas at El PasoFollow
Peter Hanson, The University of Texas at El PasoFollow
Leonel Lopez, The University of Texas at El PasoFollow
Vladik Kreinovich, The University of Texas at El PasoFollow

Publication Date

3-2019

Comments

Technical Report: UTEP-CS-19-18

Abstract

The traditional fuzzy logic does not distinguish between the cases when we know nothing about a statement S and the cases when we have equally convincing arguments for S and for its negation ~S: in both cases, we assign the degree 0.5 to such a statement S. This distinction is provided by intuitionistic fuzzy logic, when to describe our degree of confidence in a statement S, we use two numbers a₊ and a₋ that characterize our degree of confidence in S and in ~S. An even more detailed distinction is provided by picture fuzzy logic, in which we differentiate between cases when we are still trying to understand the truth value and cases when we are no longer interested. The question is how to extend "and"- and "or"-operations to these more general logics. In this paper, we provide a general idea for such extension, an idea that explain several extensions that have been proposed and successfully used.