L. Ramya
Bharathiar University
8 Papers
4 Citations
L. Ramya is an academic researcher from Bharathiar University. The author has contributed to research in topics: Computer science & Multiple-criteria decision analysis. The author has an hindex of 4, co-authored 7 publications.
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Papers
A novel assessment of bio-medical waste disposal methods using integrating weighting approach and hesitant fuzzy MOOSRA
Samayan Narayanamoorthy,Veerappan Annapoorani,Daekook Kang,Dumitru Baleanu,Jeonghwan Jeon,Joseph Varghese Kureethara,L. Ramya +6 more
TL;DR: A new methodology of hesitant fuzzy weight finding technique is proposed, named as Hesitant Fuzzy Subjective and Objective Weight Integrated Approach (HF-SOWIA) and a new hesitant fuzzy rank finding methodology, it is named as Helpshift Multi-Objective Optimization on the basis of Simple Ratio Analysis ( HF-MOOSRA).
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Application of normal wiggly dual hesitant fuzzy sets to site selection for hydrogen underground storage
Samayan Narayanamoorthy,L. Ramya,Dumitru Baleanu,Joseph Varghese Kureethara,Veerappan Annapoorani +4 more
TL;DR: This work uses hesitant fuzzy set to expose the deepest ideas hidden in the thought-level of the decision makers and shows that the NWDHFS can handle the hesitant fuzzy information, and defines a new score function of normal wiggly dual hesitant fuzzy Information.
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Sustainable Assessment for Selecting the Best Alternative of Reclaimed Water Use Under Hesitant Fuzzy Multi-Criteria Decision Making
TL;DR: A new methodology of MCDM in hesitant fuzzy (HF) namely, HF-CRITIC and HF-MAUT (Hesitant Fuzzy Multi Attribute Utility Theory) are proposed to get hesitant fuzzy information in order to select the best alternative for using reclaimed water use in India.
A Congruent Approach to Normal Wiggly Interval-Valued Hesitant Pythagorean Fuzzy Set for Thermal Energy Storage Technique Selection Applications
L. Ramya,Samayan Narayanamoorthy,Samayan Kalaiselvan,Joseph Varghese Kureethara,Veerappan Annapoorani,Daekook Kang +5 more
TL;DR: In this paper, the Interval-Valued Hesitant Pythagorean Fuzzy Set (IVPHFS) under the Normal Wiggly Mathematical Methodology is proposed and described for application to multi-criteria decision making (MCDM) technology.
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