Absfracf-This paper describes a syllable-proximity evalual tion task within the context of an automatic speech recognition application. This task is well suited to a multipleinformation aggregation framework in which preliminary evaluations of separate information sources are combined to produce a more accurate and reliable overall evaluation than would otherwise be the case. An aggregation ope...

Due to the diffusion of large-dimensional data sets (e.g., in DNA microarray or document organization and retrieval applications), there is a growing interest in clustering methods based on a proximity matrix. These have the advantage of being based on a data structure whose size only depends on cardinality, not dimensionality. In this paper we propose a clustering technique based on fuzzy rank...

In this paper, we propose a novel approach to reason with spatial proximity. The approach is based on contextual information and uses a neurofuzzy classifier to handle the uncertainty aspect of proximity. Neurofuzzy systems are a combination of neural networks and fuzzy systems and incorporate the advantages of both techniques. Although fuzzy systems are focused on knowledge representation, the...

In this paper, we introduce the concept of free abstract fuzzy economy and, using Wu’s existence theorem of maximal elements for lower semicontinuous correspondences [26] and Kim and Lee’s existence theorems of best proximity pairs [14], we prove the existence of fuzzy equilibrium pairs for free abstract fuzzy economies first with upper semicontinuous and then with lower semicontinuous constrai...

In looking for different types of large-scale activities of food sanitation supervision and security modes, improving the efficiency of food hygiene protection, this paper establishes the evaluation index system for sports food hygiene, and proposed the sports food hygiene evaluation model based on the Analytic Hierarchy Process (AHP) and the interval fuzzy TOPSIS method. AHP is used to determi...

In this paper we introduce attribute-oriented induction with partial vote propagation – a new approach allowing acquisition of generalized knowledge from uncertain data. We utilize a proximity-based fuzzy relational database as the medium carrying the original information, where the lack of precise information about an entity is reflected via insertion of multiple attribute values, and the fuzz...