IPAB Seminar - 26/07/2018

Title

Fuzzy metrics: a meaningful way of measuring

Abstract

Fuzzy metrics are a tool within fuzzy theory that has been thoroughly studied from a theorethical point of view concluding that they yield many topological advantages in front of the classical metrics. In the last 10 years, they have been used in several Science and Engineering applications where also some advantages have been observed, being the two most significant ones that they: (i) provide meaningful measures through the use of application contextual information; and (ii) constitute a simple framework to define complex hybrid metrics. In this talk we review the basics of fuzzy theory to define what a fuzzy metric is and we show some recent applications of them to different Science and Engineering problems.

Biography

Dr. Samuel Morillas is an Associated Profesor at Universidad Politicnica de Valencia (Spain). He has published more than 100 works in international journals and conferences and has been an invited professor at Universidad de Granada (Spain), Chunbuk National University (South Korea), Rochester Instute of Technology (NY), University at Buffalo (NY), and Colorado University (CO). His current research topics include applications of fuzzy logic, color image processing, color science and models of color and spatial vision.