L-Fuzzy Valued Inclusion Measure, L-Fuzzy Similarity and L-Fuzzy Distance
Ath. Kehagias, M. Konstantinidou
Abstract
The starting point of this paper is the introduction of a new measure of inclusion of fuzzy set A in fuzzy set B. Previously used inclusion measures take values in the interval [0,1]; the inclusion measure proposed here takes values in a Boolean lattice. In other words, inclusion is viewed as an L-fuzzy valued relation between fuzzy sets. This relation is re exive, antisymmetric and transitive, i.e. it is a fuzzy order relation; in addition it possesess a number of properties which various authors have postulated as axiomatically appropriate for an inclusion measure. We also define an L-fuzzy valued measure of similarity between fuzzy sets and and an L-fuzzy valued distance function between fuzzy sets; these possess properties analogous to the ones of real-valued similarity and distance functions. Keywords: Fuzzy Relations, inclusion measure, subsethood, L-fuzzy sets, similarity, distance, transitivity.
Create a lesson
Related papers
Circular Economy Synergies and Trade-offs in Data Centres
Vlad C. Coroamă, Oana Dumbravă
Warfare
Nathan Reitinger
Digital Twin Modeling of a Highly Automated Agricultural Tractor
Clay Hallman, Lukas Pindl, Timo Oksanen
Risk-based Design for Sustainability in Cloud Systems: Insights from an Experts' Survey
Maria Voreakou, Cleopatra Bardaki, George Kousiouris et al.
Model Collapse: On Recursion, Noise, and Uncharted Machine Visions
Violaine Boutet de Monvel
Modelling Scenarios for Carbon-aware Geographic Load Shifting of Compute Workloads
Wim Vanderbauwhede