This paper studies a fuzzy graph rewriting with single pushout approach from a viewpoint of fuzzy relational calculus. Two possible kinds of matchings for fuzzy graph rewritings are given, namely, a rigorous matching which just generalizes matchings for crisp (or ordinary) graph rewritings, and an "-matching which represents rather ambiguous or fuzzy one. Finally the pullback structure of fuzzy...

In a previous work, we have explored a proximity-based approach for relaxing queries involving fuzzy predicates. This proximity was defined in a relative way. In this paper we consider an absolute proximity and we show how it can be used for the purpose of query weakening. The main features of the weakening mechanism resulting from the use of this kind of proximity are investigated as well. Las...

Preface What is referred to as a genomic revolution can be summarised by the following tasks: Analysis of the DNA sequence of a genome, identification of genes, study of gene products (usually proteins). While the identification of components, cataloguing of products and their classification is very exciting, the interrelationships and interactions of these components is what makes organisms li...

The representation of imprecise, uncertain or inconsistent information is not possible in relational databases, thus they require addonns to handle these types of information. One possible add-on is to allow the attributes to have values that are fuzzy sets on the attribute domain, which result in fuzzy relational databases (FRDB). From the implementational point of view, values are limited to ...

Flexible querying aims at expressing preferences inside queries instead of strict requirements. We consider ordinary relational databases and flexible querying calling on fuzzy sets. The topic of this paper is to define new types of flexible conditions : the ones involving the count operator. The main difficulty is to handle cardinalities of fuzzy sets. keywords : databases, flexible querying, ...

Although signi cant progress has been made in developing multidatabase systems that integrate component databases containing crisp data, little has been reported on integrating fuzzy databases in such systems. In this paper, we investigate the problem of integrating fuzzy relational databases in a multidatabase system. We identify new types of con icts that may occur in schemas and data due to ...

This paper presents a literature overview of Fuzzy Relational Database Models with emphasis on the role of functional dependencies in logical designing and modeling. The aim is the analysis of recent results in this fi eld. Fuzzy set theory is widely applied for the classical relational database extensions resulting in numerous contributions. This is because fuzzy sets and fuzzy logic are power...

Generating inferences from a gene regulatory network is important to understand the fundamental cellular processes, involving gene functions, and their relations. The availability of time-series gene expression data makes it possible to investigate the gene activities of the whole genomes. Under this framework, gene interaction is explained through a set of fuzzy relational matrices. By transfo...

In order to model the real world with imprecise and uncertain information, various extensions of the classical relational data model have been studied in literature using fuzzy set theory. However, vague set, as a generalized fuzzy set, has more powerful ability to process fuzzy information than fuzzy set. In this paper, we have proposed a vague relational database model and have defined a new ...

Assessing quality of distorted/decompressed images without reference to the original image is a challenging task because extracted features are often inexact and there exist complex relation between features and visual quality of images. The paper aims at assessing quality of distorted/decompressed images without any reference to the original image by developing a fuzzy relational classifier. H...