Social relationships such as friendship and partner choice are ruled by the proximity principle, which states that themore similar two individuals are, themore likely theywill become friends. However, proximity, similarity, and friendship are concepts with blurred edges and imprecise grades of membership. This study shows how to simulate these friendship dynamics in an agent-based model that ap...

Social relationships such as friendship and partner choice are ruled by the proximity principle, which states that themore similar two individuals are, themore likely theywill become friends. However, proximity, similarity, and friendship are concepts with blurred edges and imprecise grades of membership. This study shows how to simulate these friendship dynamics in an agent-based model that ap...

In this paper we investigate the area of attributeoriented data generalization for knowledge discovery purposes. We utilize a fuzzy database schema as the medium carrying the original information, where the fuzzy relation of similarity or proximity replaces the classical identity relation. Following a well-known approach for exact data generalization in the ordinary databases, Han [1], we propo...

The main objective of this paper is to deal with some properties of interest in two types of fuzzy ordered proximal contractions of cyclic self-mappings T integrated in a pair (g, T) of mappings. In particular, g is a non-contractive fuzzy self-mapping, in the framework of non-Archimedean ordered fuzzy complete metric spaces and T is a p-cyclic proximal contraction. Two types of such contractio...

One way to increase the power of Qualitative Spatial Reasoning is to introduce proximity operators (such as close and far) that are surrogates for distance measures. These operators appear to be semi-quantitative in nature as opposed to purely qualitative. In the light of observations drawn from psychometric testing of perceived proximity, this paper discusses how a model to support proximal re...

Based on the idea that the closer the query terms in a document are, the more relevant this document is, we propose a information retrieval method based on a fuzzy proximity degree of term occurences to compute document relevance to a query. Our model is able to deal with Boolean queries, but contrary to the traditional extensions of the basic Boolean information retrieval model, it does not ex...