Yazar "Kirişçi, Murat" seçeneğine göre listele

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    Early childhood children in cOVID-19 quarantine days and multiple correspondence analysis
    (Mahmut AKYİĞİT, 2021) Topaç, Nihat; Bardak, Musa; Kalkan, Seda Bağdatlı; Kirişçi, Murat
    Multiple correspondence analysis is an extension of correspondence analysis that consent one to examine the stencil of intercourses of several categorical dependent variables. The aim of this study is to analyze the cognitions, feelings, and thoughts of early childhood children who stayed at home during the quarantine process due to coronavirus with multiple correspondence analysis. The theory and commentary of multiple correspondence analysis in the case of two and more than two variables are provided through an example. The result from multiple correspondence analysis is a graphical monitor of the rows and columns of a contingency table that is conceived to permission visualization of the prominent correlations among the variable responses in a low-dimensional space. Such a presentment discloses a more global picture of the correlations among row-column pairs.
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    Fixed point theorem for neutrosophic extended metric-like spaces and their application
    (Yıldız Technical University, 2023) Ishtiaq, Umar; Şimşek, Necip; Javed, Khalil; Ahmed, Khaleel; Uddin, Fahim; Kirişçi, Murat
    In this manuscript, our objective is to introduce the notion of neutrosophic extended metric-like spaces. We establish some fixed point theorems in this setting. Neutrosophic extended metric-like spaces metric space uses the idea of continuous triangular norms and continuous triangular conorms in an extended intuitionistic fuzzy metric-like space. Triangular norms are used to generalize with the probability distribution of triangle inequality in metric space conditions. Triangular conorms are known as dual operations of triangular norms. Triangular norms and triangular conorm are very significant for fuzzy operation. The obtained results boost the approaches of existing ones in the literature and are supported by some examples and an application.
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    Neutrosophic metric spaces
    (Springer, 2020) Kirişçi, Murat; Şimşek, Necip
    Neutrosophy consists of neutrosophic logic, probability, and sets. Actually, the neutrosophic set is a generalisation of classical sets, fuzzy set, intuitionistic fuzzy set, etc. A neutrosophic set is a mathematical notion serving issues containing inconsistent, indeterminate, and imprecise data. The notion of intuitionistic fuzzy metric space is useful in modelling some phenomena where it is necessary to study the relationship between two probability functions. In this paper, the definition of new metric space with neutrosophic numbers is given. Neutrosophic metric space uses the idea of continuous triangular norms and continuous triangular conorms in intuitionistic fuzzy metric space. Triangular norms are used to generalize with the probability distribution of triangle inequality in metric space conditions. Triangular conorms are known as dual operations of triangular norms. Triangular norms and triangular conorm are very significant for fuzzy operations. Neutrosophic metric space was defined with continuous triangular norms and continuous triangular conorms. Several topological and structural properties neutrosophic metric space have been investigated. The analogues of Baire Category Theorem and Uniform Convergence Theorem are given for Neutrosophic metric spaces.
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    Neutrosophic normed spaces and statistical convergence
    (Springer, 2020) Kirişçi, Murat; Şimşek, Necip
    We define the neutrosophic normed space and the statistical convergence in neutrosophic normed space. We give the statistically Cauchy sequence in neutrosophic normed space and present the statistically completeness in connection with a neutrosophic normed space.
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    A new risk assessment method for autonomous vehicle driving systems: fermatean fuzzy ahp approach
    (İstanbul Ticaret Üniversitesi, 2023) Şimşek, Necip; Kirişçi, Murat
    The autonomous vehicle driving systems' decision-making processes are distinct from those of the users, enabling them to supervise and control the operations of automobiles in both anticipated and unforeseen situations. Although utilizing this technology has several benefits, including fewer accidents brought on by human error and more effective energy usage, it is also clear that there are significant risks associated. Therefore, it will be useful to design a risk assessment application for these systems given the risks connected with autonomous vehicles and/or driving systems that must be assessed and addressed. This article presents a multicriteria decision-making strategy to evaluate the risk probabilities of autonomous vehicle driving systems by combining the AHP technique with interval-valued Fermatean fuzzy sets. Intervalvalued Fuzzy Fermat presents six options for autonomous driving systems for vehicles, which have been evaluated in the application based on six main criteria and fifteen sub-criteria criteria. The findings of this study have demonstrated that the threat posed by cyberattacks is being addressed and given priority to improve the success of the introduction of autonomous vehicle driving systems.
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    The novel VIKOR methods for generalized Pythagorean fuzzy soft sets and its application to children of early childhood in COVID-19 quarantine
    (Springer, 2021) Kirişçi, Murat; Demir, İbrahim; Şimşek, Necip; Topaç, Nihat; Bardak, Musa
    In this work, the new VIKOR methods are established using the generalized Pythagorean fuzzy soft sets (GPFSSs). For GPFSSs, the distance measures such as Hamming, Euclidean, and generalized are given. Further, the basic characteristics of these distance measures are examined. Fuzzy and soft sets are strong instruments for uncertainty. This strongness has been demonstrated by the GPFSS combining Pythagorean fuzzy sets and soft sets and applied to imprecise and ambiguous information. In this context, new remoteness index-based methods have been proposed, which are dissimilar from available VIKOR methods. The displaced and fixed ideals positive and negative Pythagorean fuzzy values (PFV) were defined. Thus, based on this definition, displaced positive ideal remoteness indices, negative ideal remoteness indices, and fixed positive ideal, negative ideal remoteness indices were discussed. Two different weights are used here: weights based on OF preference information and precise weights calculated with the expectation score function. The VIKOR method given here provides a different way from canonical VIKOR methods: rank candidate alternatives and determining a compromise solution based on different preference structures. The processes principles of the newly defined GPFSSs VIKOR methods are given by four algorithms. An example of these algorithms is given with the behavioral development and cognitive development of the children of Early Childhood children in the COVID-19 quarantine.