• Convergences in fuzzy topological spaces 

      Georgiou, D. N.; Papadopoulos, B. K. (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 

      Nieto, J. J.; Torres, A.; Georgiou, D. N.; Karakasidis, T. E. (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 regression analysis: An application on tensile strength of materials and hardness scales 

      Karakasidis, T. E.; Georgiou, D. N.; Nieto, J. J. (2012)
      In the present paper we use fuzzy linear regression analysis and fuzzy similarity to investigate the relation of various hardness scales to tensile strength of materials. We examine the relation of the Vickers, Brinell, ...
    • Fuzzy sets in seismic inelastic analysis and design of reinforced concrete frames 

      Mistakidis, E. S.; Georgiou, D. N. (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 ...
    • On fuzzy compactness 

      Georgiou, D. N.; Papadopoulos, B. K. (1999)
      In this paper we characterize well known fuzzy compactness (see [3], [4], [9], and [10]) using the notion of fuzzy upper limit (see [5]). Also we give and study new fuzzy compactness in fuzzy topological spaces, (C) 1999 ...
    • On fuzzy theta-convergences 

      Georgiou, D. N.; Papadopoulos, B. K. (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 ...
    • On fuzzy θ -convergences 

      Georgiou, D. N.; Papadopoulos, B. K. (2000)
      In this paper we introduce and study the notions of fuzzy θ-convergence and weakly θ-convergence on a fuzzy topological space. These notions can be considered as generalizations of the convergence defined in Georgiou and ...
    • Partitioning elements of the Periodic Table via fuzzy clustering technique 

      Karakasidis, T. E.; Georgiou, D. N. (2004)
      In this paper we present fuzzy clustering results of the elements of the Periodic Table according to several physical properties related directly to their electronic structure (ionization potential, cohesion energy, ...
    • A short survey on genetic sequences, chou's pseudo amino acid composition and its combination with fuzzy set theory 

      Georgiou, D. N.; Karakasidis, T. E.; Megaritis, A. C. (2013)
      The study of genetic sequences is of great importance in biology and medicine. Sequence analysis and taxonomy are two major fields of application of bioinformatics. In this survey, we present results concerning genetic ...
    • Strongly theta-continuous functions and topologies on function spaces 

      Georgiou, D. N.; Papadopoulos, B. K. (2000)
      In this paper we study the function space of strongly theta-continuous functions and generalize some basic results of R. Arens, D. Dugundji and A. Di Concilio.
    • A study of entropy/clarity of genetic sequences using metric spaces and fuzzy sets 

      Georgiou, D. N.; Karakasidis, T. E.; Nieto, J. J.; Torres, A. (2010)
      The study of genetic sequences is of great importance in biology and medicine. Sequence analysis and taxonomy are two major fields of application of bioinformatics. In the present paper we extend the notion of entropy and ...
    • Use of fuzzy clustering technique and matrices to classify amino acids and its impact to Chou's pseudo amino acid composition 

      Georgiou, D. N.; Karakasidis, T. E.; Nieto, J. J.; Torres, A. (2009)
      In this paper we present a study of classification of the 20 amino acids via a fuzzy clustering technique. In order to calculate distances among the various elements we employ two different distance functions: the Minkowski ...