Measuring in Weighted Environments (Moving from Metric to Order Topology)
Claudio Garuti · ISAHP proceedings · 2014
This article addresses the problem of measuring closeness in weighted environments (decision-making environments).The relevance of this article is related with having a dependable cardinal measure of distance in weighted environments.Weighted environments is a non isotropic structure where the different directions (axes) may have different importance (weight) thus, there exist privilege directions.In this kind of structure would be very important to have a cardinal reliable index able to say how close or compatible is the set of measures of one individual with respect to the group or to anyone other.Common examples of this structure is the interaction between actors in a decision making process (system values interaction), matching profiles, pattern recognition, and any situation where a process of measurement with qualitative variables is involved.