Article ID Journal Published Year Pages File Type
402184 Knowledge-Based Systems 2016 12 Pages PDF
Abstract

•Proximal 3-way decision-making introduced.•Delaunay triangulation meshes used.•Computational geometry and near set theory foundation provided.•Location-based social networks application included.•Human socio-spatial behaviour analysis carried out.

This article introduces proximal three-way decision-making. This form of 3-way decision-making stems from the proximity structures that result from endowing each nonempty set of social network triangulation nodes with several proximity relations. A triangulation is obtained by connecting every pair of nearest neighbour nodes with a straight edge. The proposed approach to 3-way decision-making results from the analysis of Delaunay graphs (spatial) as well as friendship network (social) of location-based social network nodes. The knowledge gained from proximal three-way decision-making is in the form of information granules that are near sets of nodes representing interaction between either casual users or friends in a social network. A practical illustration of proximal three-way decision-making is given in terms of a public domain large-scale social network dataset.

Related Topics
Physical Sciences and Engineering Computer Science Artificial Intelligence
Authors
, ,