Search Results - Narayanamoorthy, S.

A probabilistic hesitant fuzzy MCDM approach to evaluate India�s intervention strategies against the COVID-19 pandemic by Jeon, Jeonghwan, Suvitha, Krishnan, Arshad, Noreen Izza, Kalaiselvan, Samayan, Narayanamoorthy, Samayan, Ferrara, Massimiliano, Ahmadian, Ali

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A novel MCDM approach to selecting a biodegradable dynamic plastic product: a probabilistic hesitant fuzzy set-based COPRAS method by Kang, Daekook, Jaisankar, Ramasamy, Murugesan, Veeramuthu, Suvitha, Krishnan, Narayanamoorthy, Samayan, Omar, Abdullah Hisam, Arshad, Noreen Izza, Ahmadian, Ali

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Potential of energy efficiency in ceramic industries by Narayanamoorthy, Thirupathi Rao

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Tunable electrochemical behavior of dicarboxylic acids anchored Co-MOF: sensitive determination of rutin in pharmaceutical samples by Sivam, Thushatharcchini, Gowthaman, N. S. K., Lim, H. N., Andou, Yoshito, P., Arul, E., Narayanamoorthi, S., Abraham John

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A probabilistic hesitant fuzzy MCDM approach to evaluate India's intervention strategies against the COVID-19 pandemic by Jeon, J., Suvitha, K., Arshad, N.I., Kalaiselvan, S., Narayanamoorthy, S., Ferrara, M., Ahmadian, A.

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A novel MCDM approach to selecting a biodegradable dynamic plastic product: a probabilistic hesitant fuzzy set-based COPRAS method by Kang, D., Jaisankar, R., Murugesan, V., Suvitha, K., Narayanamoorthy, S., Omar, A.H., Arshad, N.I., Ahmadian, A.

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Machine Learning Based Optimal Design of On-Road Charging Lane for Smart Cities Applications by Shanmugam Y., Narayanamoorthi R., Ramachandaramurthy V.K., Bernat P., Shrestha N., Son J., Williamson S.S.