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Donbosco Jeni, Seles, Martina (VIT University, Vellore, Tamil Nadu, India), Ganesan Deepa (VIT University, Vellore, Tamil Nadu, India)
The Energy of Interval Valued Neutrosophic Matrix in Decision-Making to Select the Manager for the Company Project
Operations Research and Decisions, 2023, vol. 33, no. 4, s. 35-51, rys., wykr., tab., bibliogr. 29 poz.
Statystyka, Badania statystyczne, Analiza statystyczna, Modele podejmowania decyzji, Metody doboru kadry kierowniczej
Statistics, Statistical surveys, Statistical analysis, Decision-making models, Methods of selecting the executives
The concept of energy in graphs and matrices is used effectively in all application areas. The energy of the matrix is an extension of graph energy. The usage of the energy idea in neutrosophic matrices makes it more flexible and applicable in multi-criteria decision-making environments. In this paper, we propose the energy approach in neutrosophic matrices with interval values. We determined the given energy's upper and lower bounds. The energy is used of the interval-valued neutrosophic matrix to address the MCDM problem. A new strategy has been introduced called the interval-valued neutrosophic energy method to solve this problem. We look at the problem of choosing a qualified manager for a business project. A team of professionals in the company evaluates the options using neutrosophic numbers with interval values, and the energy method is then used to calculate the result. The result has been compared with the TOPSIS method results to show that the outcomes are similar. (original abstract)
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