In this paper the idea of strong sum distance which is a metric, in a fuzzy graph is introduced. Based on this metric the concepts of eccentricity, radius, diameter, center and self centered fuzzy graphs are studied. Some properties of eccentric nodes, peripheral nodes and central nodes are obtained. A characterisation of self centered complete fuzzy graph is obtained and conditions under which...

Relational clustering is an extension of clustering for relational data. Fuzzy c-Medoids (FCMdd) based linear fuzzy clustering extracts intrinsic local linear substructures from relational data. However this linear clustering was affected by noise or outliers because of using Euclidean distance. Alternative Fuzzy c-Means (AFCM) is an extension of Fuzzy c-means, in which a modified distance meas...

During the last 10 years or so, there has been a large movement within the field of computerised image analysis to avoid crisp segmentation into interesting and non-interesting regions and instead using a fuzzy approach, where points are assigned membership values related to the degree of belongingness to the structure of interests. The segmented fuzzy object is used in the subsequent analysis....

In this work, a new approach to region growing problem is presented. The region growing procedure is modified in order to apply a fuzzy knowledge based system to evaluate the distance between a pixel and the region. This fuzzy colour distance is based on a set of rules that evaluate the three distance components (R, G, B) jointly. The results presented show a improvement with the traditional cr...