participation of people in their cities and neighborhoods has always been emphasized by researchers and experts in order to improve the quality of citizens’ life and having efficient urban management. however, it seems that providing participation contexts at local level by citizens needs preparations and substrates that facilitate participation. in the meantime, establishing a neighborhood man...

Based on a complete Heyting algebra, we modify the definition oflattice-valued fuzzifying convergence space using fuzzy inclusionorder and construct in this way a Cartesian-closed category, calledthe category of $L-$ordered fuzzifying convergence spaces, in whichthe category of $L-$fuzzifying topological spaces can be embedded.In addition, two new categories are introduced, which are called the...

This paper describes the definition and testing of a new type of median filter for images. The topological median filter implements some existing ideas and some new ideas on fuzzy connectedness to improve, over a conventional median filter, the extraction of edges in noise. The concept of alpha-connectivity is defined and used to create an algorithm for computing the degree of connectedness of ...

Voronoi diagrams are a classical tool for analyzing spatial neighborhood relations. For point elds the spatial proximity can be easily visualized by the dual graph, the Delaunay triangulation. In image analysis VDs and DTs are commonly used to derive neighborhoods for grouping or for relational matching. Neighborhood relations derived from the VD, however, are uncertain in case the common side ...

In [8], Freuder defined interchangeability for classical Constraint Satisfaction Problems (CSPs). Recently [2], we extended the definition of interchangeability to Soft CSPs and we introduced two notions of relaxation based on degradation δ and on threshold α (neighborhood interchangeability (NI )and α neighborhood interchangeability (αNI )). In this paper we extend the study introduced in [11]...

Most of the image preprocessing techniques by existing neighborhood neural networks, suffer from the problem of false classification of the image features. This is mainly due to the redundancy in the interconnectivity patterns of the networks. The larger number of interconnections in these networks implies a larger network complexity as well. A fuzzy set-theoretic pruning algorithm to refine th...

We have developed an algorithm (STVQ) for the optimization of neighborhood preserving maps by applying deterministic anneal-ing to an energy function for topographic vector quantization. The com-binatorial optimization problem is solved by introducing temperature dependent fuzzy assignments of data points to cluster centers and applying an EM-type algorithm at each temperature while annealing. ...

In order to better identify the fault of rotor system,one new method based on local fuzzy clustering margin fisher discriminant (LFCMFD) was proposed. For each point on manifold, the farthest point in local neighborhood and the nearest point outside local neighborhood usually constituted the local margin. LFCMFD introduced fuzzy cluster analysis algorithm, eliminated the influence of pseudo-mar...