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How to cite: Colak, E. Preprints , Colak, E. Copyright: This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. Close menu.
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This work is concerned with several important different types of convergence that will be described on neutrosophic normed spaces. In the study, arithmetic convergence was combined with different types of statistical convergence and then integrated into the structure of neutrosophic spaces established through the membership function. For this purpose, in the neutrosophic normed space, firstly, the concepts of arithmetic convergence and arithmetic statistical convergence are given, then some important definitions that can be established with lacunary sequences and ideal structures and some relationships between convergent sequences in this sense are examined. Furthermore, new convergence definitions were established by evaluating lambda sequences together with arithmetic convergence and statistical convergence with the help of neutrosophic normed space structure properties. Finally, with the help of the definition of graduated convergence, the inclusion relation between the two set is given. Arithmetic statistically convergence , Ideals , Neutrophic normed spaces. English Turkish English. Research Article. EN TR. Create Research Close. Arithmetic statistically convergent on neutrosophic normed spaces. Abstract This work is concerned with several important different types of convergence that will be described on neutrosophic normed spaces. Keywords Arithmetic statistically convergence , Ideals , Neutrophic normed spaces.
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As it is known, Neutrosophic theory, which brings a new breath to daily life and complex scientific studies which we encounter with many uncertainties, is a rapidly developing field with many new study subjects. Thus, researchers show great interest in this philosophical approach and try to transfer related topics to this field quickly. As a result, it is thought that the selected convergence type is suitable for the Neutrosophic normed space structure and is a guide for new convergence types. Ali, G. Multiattribute decision-making under Fermatean fuzzy bipolar soft framework. Granular Computing, 7 2 ,
As it is known, Neutrosophic theory, which brings a new breath to daily life and complex scientific studies which we encounter with many uncertainties, is a rapidly developing field with many new study subjects. Thus, researchers show great interest in this philosophical approach and try to transfer related topics to this field quickly. As a result, it is thought that the selected convergence type is suitable for the Neutrosophic normed space structure and is a guide for new convergence types. English Turkish English. Research Article.
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Law J. Siddique, R. On Fibonacci ideal convergence of double sequences in intuitionistic fuzzy normed linear spaces. Abdel-Baset, F. Li, F. Zhu, Stable recovery of sparse signals via Ip -minimization, Appl. Fuzzy Sets and Systems, 20 1 , Abdel-Basset, M. Aydemir, Decision-making styles and personality traits, Int. Kostyrko, P. Lacunary arithmetic statistical convergence. Karimzadeh, M. Fuzzy Syst. Konuralp Journal of Mathematics, 10 1 , Ahmed, I.
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Copyright: This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. Degree of dependence and independence of the sub components of fuzzy set and neutrosophic set. Savas, E. Yavcan, On governing the Syrian refugee crisis collectively: The view from Turkey , Aydemir, Decision-making styles and personality traits, Int. Comments must follow the standards of professional discourse and should focus on the scientific content of the article. Incomplete evidence major revision needed. Human Comput. Buckley, Fuzzy hierarchical analysis, Fuzzy Sets Syst. AIMS Mathematics, 7 8 , Symmetry, 14 7 , Issues , 21 , 10— Zulqarnain, S. Granular Computing, 7 2 ,
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