Πλοήγηση ανά Θέμα "fuzzy sets"
Αποτελέσματα 1-7 από 7
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Comparison of computational intelligence based classification techniques for remotely sensed optical image classification
(2006)Several computational intelligence components, namely neural networks (NNs), fuzzy sets, and genetic algorithms (GAs), have been applied separately or in combination to the process of remotely sensed data classification. ... -
Convergences in fuzzy topological spaces
(1999)In this paper we introduce the notions of fuzzy upper limit, fuzzy lower limit and the fuzzy continuous convergence on the set of fuzzy continuous functions. In examining these aforementioned notions in the present paper ... -
Fuzzy polynucleotide spaces and metrics
(2006)The study of genetic sequences is of great importance in biology and medicine. Mathematics is playing all important role in the study of genetic sequences and. generally, in bioinformatics. In this paper, we extend the ... -
Fuzzy sets in seismic inelastic analysis and design of reinforced concrete frames
(2003)In this paper, a new approach to the problem of estimating the structural response of systems with uncertain characteristics is presented. The approach is based on the theory of fuzzy sets, which allow the designers to ... -
Granular neural networks for land use classification
(2005)Granulation of information is a new way to describe the increased complexity of natural phenomena. The lack of clear borders in nature calls for a more efficient way to process such data. Land use both in general but also ... -
On fuzzy theta-convergences
(2000)In this paper we introduce and study the notions of fuzzy theta -convergence and weakly theta -convergence on a fuzzy topological space. These notions can be considered as generalizations of the convergence defined in ... -
Soft computing technique of fuzzy cognitive maps to connect yield defining parameters with yield in cotton crop production in central Greece as a basis for a decision support system for precision agriculture application
(2010)This work investigates the yield and yield variability prediction in cotton crop. Cotton crop management is a complex process with interacting parameters like soil, crop and weather factors. The soft computing technique ...