Energy, Materials Science, Nuclear and High Energy Physics, Energy
9
Scopus Publications
Scopus Publications
A Decision-Making Problem for Smartphone Selection Using Neutrosophic Distance Measures M. Arockia Dasan, L. Lucase, Abdulrahman AlAita, Muhammad Aslam, E. Bementa Advances in Fuzzy Systems, 2026 A neutrosophic distance measure using average functions is defined, and the metric axioms are verified by discussing its properties on a neutrosophic structure. Further, the similarity measure’s axioms are also derived for the complement of the proposed distance measure. This research paper presents a novel methodology for identifying suitable attributes of corresponding alternatives in decision‐making problems using neutrosophic distance measure values. As an application, a numerical model is offered for the neutrosophic evaluation of smartphone selection by customers. Moreover, it is perceived that the decision of the proposed distance measure is consistent with the results derived from other existing distance measures.
Multi-attribute decision-making problem in career determination using single-valued neutrosophic distance measure M. Arockia Dasan, E. Bementa, Muhammad Aslam, V. F. Little Flower Complex and Intelligent Systems, 2024 In this paper, we introduce a distance measure on single-valued neutrosophic sets by sine function which is a generalization of intuitionistic fuzzy sine distance measure. The axiom of metric on single-valued neutrosophic sets is verified and shows that the difference of distance measure from unity is a similarity measure. A new methodology for multi-attribute decision-making problems (MADM) is developed for the most common decision by the smallest measure value of the proposed single-valued neutrosophic distance measure. We further apply this distance measure to a multi-attribute decision-making problem (MADM) for student career determination in a neutrosophic environment to find the best career for suitable students. Finally, the comparison is made between the proposed distance measure and the other distance measures for the final decision chosen from the most common decisions of them.
Ionic Conductivity and Power Conversion Efficiency Study of KI Incorporated Glucosyl Carboxonium Ion-based Biopolymer Crust Electrolyte E. Bementa, G. S. Okram, M. A. Jothi Rajan Polymer Plastics Technology and Engineering, 2018 The impedance of well-characterized KI-incorporated glucosyl carboxonium ion-based biopolymer crust electrolytes up to a maximum 2.7 wt% was measured using electrical impedance spectroscopy. Enhanced ionic conductivity of 2.3657 × 10−2 S cm−1 on the addition of 2.7 wt% of KI was observed in contrast to earlier reported value for pure GCI of 4.5278 × 10−4 S cm−1. This is attributed due to the increased concentration of KI in the system and is corroborated with increased ion density (n), mobility (µ), and diffusion coefficients (D). Dielectric and modulus study shows the capacitive nature of electrolyte. Fabricated dye-sensitized solar cell using pure glucosyl carboxonium ion crust and KI-incorporated glucosyl carboxonium ion crust shows the efficiency of 1.19% for pure and shows the efficiency of 2.14% for 2.6 wt% of KI in glucosyl carboxonium ion at 1 sun condition.
Effect of Prolonged Duration of Gelatinization in Starch and Incorporation with Potassium Iodide on the Enhancement of Ionic Conductivity E. Bementa, M. A. Jothi Rajan, Earnest Stephen Gnanadass Polymer Plastics Technology and Engineering, 2017 Three systems of starch-based crust electrolytes were prepared using various gelatinization times, various weight percentages (wt%) of starch, and various wt% of starch incorporated into potassium iodide. All the samples were subjected to electrochemical impedance spectroscopy, X-ray diffraction spectroscopy, scanning electron microscopy, Fourier transform infrared spectroscopy, and transference number measurements. Electrochemical impedance spectroscopy shows that 1.7 wt% of starch has maximized the room temperature conductivity of the electrolyte to 1.4587 × 10−4 S cm−1. The conductivity was enhanced to 4.5278 × 10−4 S cm−1 on the increment of starch’s wt% from 1.7 to 3.2. This conductivity was further enhanced to 3.4609 × 10−3 S cm−1 on the addition of 0.3 wt% of potassium iodide. The conductivity enhancement was found due to the formation of glucosyl carboxonium ions. The effect of longer heating time in gelatinization is attributed to the formation of glucosyl carboxonium ions. X-ray diffraction spectroscopy affirms the reduction in crystallinity of starch. Scanning electron microscopy analysis shows the porous morphology of starch electrolyte, and addition of potassium iodide shows the morphology of bean nuts like particles seated on the pores. Fourier transform infrared confirms the degradation of starch. Transference number measurements of the crust electrolyte shows that ions are the dominant conducting species. All the results are authenticating that the conductivity enhancement in starch-based crust electrolyte is due to starch and the addition of inorganic salts.