Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
6856777 | Information Sciences | 2018 | 19 Pages |
Abstract
In this paper, we introduce the concept of fuzzy interval-entropy. The main feature of this new entropy is that the provided value is a closed subinterval of [0, 1]. This fact has led us to define interval-valued fuzzy strong S-subsethood measures which we use to build fuzzy interval-entropies. As we require that the results of both measures are intervals, we should work with total orders to be able to compare the results. The problem of finding equilibrium points for interval-valued negations with respect to total orders has led us to introduce and study the concept of P-interval-entropy. Finally, in an illustrative example, we discuss an application of the different concepts we have considered. We also compare our results to those obtained in our application where we use the classical interval-valued entropy, which provides a real number instead of an interval as its result, as we know.
Related Topics
Physical Sciences and Engineering
Computer Science
Artificial Intelligence
Authors
Zdenko TakáÄ, Mária Minárová, Javier Montero, Edurne Barrenechea, Javier Fernandez, Humberto Bustince,