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  1. Ana Sayfa
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Yazar "Simsek, Necip" seçeneğine göre listele

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    CATEGORICAL REGRESSION ANALYSIS WITH MEDICAL APPLICATION
    (PUSHPA PUBLISHING HOUSE, 2019) Simsek, Necip; Bagdatli, Seda; Kirisci, Murat
    In this study, for the birth weight, a novel system based on categorical regression is proposed. Factors affecting birth weight of newborn are examined with categorical regression. The main purpose of the model development is to examine the causal relationship between independent and dependent variables. It is believed that the prepared Categorical Regression Analysis system may be useful for physicians to make decisions about the factors affecting the birth weight of babies during pregnancies. The results show that categorical regression analysis system based on a learning method can assist in the prediction of birth weight.
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    Fixed point results for a new metric space
    (WILEY, 2020) Kirisci, Murat; Simsek, Necip; Akyigit, Mahmut
    In this paper, we introduce the neutrosophic contractive and neutrosophic mapping. We establish some results on fixed points of a neutrosophic mapping.
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    FIXED POINT THEOREMS IN NEUTROSOPHIC METRIC SPACES
    (YILDIZ TECHNICAL UNIV, 2019) Simsek, Necip; Kirisci, Murat
    In this paper, we introduce the neutrosophic cantractive and neutrosophic mapping. We establish some results on fixed points of a neutrosophic mapping.
  • Yükleniyor...
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    NEUTROSOPHIC SOFT SETS WITH MEDICAL DECISIN-MAKING APPLICATIONS
    (YILDIZ TECHNICAL UNIV, 2019) Kirisci, Murat; Simsek, Necip
    In this study, we apply neutrosophic soft set theory through Maji's approach for medical decision making. The problem is to choose patient people with the variables used for T2DM diagnosis. A comparison matrix will be obtained for this selection and the maximum score will be reached with this matrix.
  • Küçük Resim Yok
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    A new regular infinite matrix defined by Jordan totient function and its matrix domain in l(p)
    (WILEY, 2020) Ilkhan, Merve; Simsek, Necip; Kara, Emrah Evren
    In this paper, we first define a new regular matrix by using the arithmetic function called Jordan totient function and study the matrix domain of this newly introduced matrix in the Banach space l(p). After computing the dual spaces of this new space, we characterize certain matrix mappings related to this space.
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    On F-Weak Contraction of Generalized Multivalued Integral Type Mappings with alpha-admissible
    (UNIV MARAGHEH, 2020) Karakaya, Vatan; Simsek, Necip; Sekman, Derya
    The purpose of this work is to investigate the existence of fixed points of some mappings in fixed point theory by combining some important concepts which are F-weak contractions, multivalued mappings, integral transformations and alpha-admissible mappings. In fixed point theory, it is important to find fixed points of some classess under F- or F-weak contractions. Also multivalued mappings are the other important classes. Along with that, alpha-admissible mapping is a different approach in the fixed point theory. According to this method, a single or multivalued mapping does not have a fixed point in general. But, under some restriction on the mapping, a fixed point can be obtained. In this article, we combine four significant notions and also establish fixed point theorem for this mappings in complete metric spaces. Moreover, we give an example to show the interesting of our results according to earlier results in literature.
  • Küçük Resim Yok
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    S-iterative algorithm for solving variational inequalities
    (TAYLOR & FRANCIS LTD, 2020) Erturk, Muzeyyen; Gursoy, Faik; Simsek, Necip
    In this paper we propose an S-iterative algorithm for finding the common element of the set of solutions of the variational inequalities and the set of fixed points of nonexpansive mappings. We study the convergence criteria of the mentioned algorithm under some mild conditions. As an application, a modified algorithm is suggested to solve convex minimization problems. Numerical examples are given to validate the theoretical findings obtained herein. Our results may be considered as an improvement, refinement and complement of the previously known results.

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