We have introduced a concept using Neutrosophic logic to solve the problem. Any neutrosophic data is based on three members. Neutrosophic logic is been used to handle in deterministic part of a neutrosophic data. We have focused to solve the real problem of a patient. Fuzzy and vague both data are not able to handle indeterminacy part .Only neutrosophic data can handle indeterminacy part of a f...

It is generally agreed that information flow through the cortex is constrained by a hierarchical architecture. Lack of precise data on areal connectivity leads to indeterminacy of existing models. The authors introduce two quantitative parameters (SLN and FLN) that hold the promise of resolving such indeterminacy. In the visual system, using a very incomplete database, provisional hierarchies a...

This paper introduces a Z-test for two correlation coefficients under neutrosophic statistics. The necessary steps to implement the proposed test are given. statistic of indeterminacy introduced first time. application is given using temperature and wind speed data. From analysis energy example, it concluded that more efficient than classical statistics in terms measure indeterminacy, informati...

The state function of a quantum object is undetermined with respect to its phase. This indeterminacy does not matter if it is global, but what if the components of the state have unknown relative phases? Can useful computations be performed in spite of this local indeterminacy? We consider this question in relation to the problem of the rotation of a qubit and examine its broader implications f...

This paper presents a two-sector endogenous growth model where public spending {which is endogenous and productive{ may generate equilibrium indeterminacy. Under certain mild conditions, there exists a continuum of expectations-driven equilibrium paths approaching a common balanced growth path. We show that the welfare-maximizing equilibrium path is associated with a labor supply as large as po...

This paper presents a data mining process of single valued neutrosophic information. This approach gives a presentation of data analysis common to all applications. Data mining depends on two main elements, namely the concept of similarity and the machine learning framework. It describes a lot of real world applications for the domains namely mathematical, medical, educational, chemical, multim...

The existing literature establishes possibilities of local determinacy and dynamic indeterminacy in continuous-time two-sector models of endogenous growth with social constant returns. The necessary and sufficient condition for local determinacy is that the factor intensity rankings of the two sectors are consistent in the private/physical and social/value sense. The necessary and sufficient co...

In 2014, Broumi et al. (S. Broumi, F. Smarandache, M. Dhar, Rough neutrosophic sets, Italian Journal of Pure and Applied Mathematics, 32 (2014), 493-502.) introduced the notion of rough neutrosophic set by combining neutrosophic sets and rough sets, which has been a mathematical tool to deal with problems involving indeterminacy and incompleteness. The real world is full of indeterminacy. Natur...

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In the present paper a tractable two-sector growth model with technological externalities and many countries is considered. It is shown that the occurrence of indeterminacy, a typical side-product of externalities, may appear due to the enlargement of the markets for goods and factors. Various scenarios of progressive levels of integration are considered. In particular, it is found that the int...