Selvaraj Geetha
Bharathiar University
15 Papers
13 Citations
Selvaraj Geetha is an academic researcher from Bharathiar University. The author has contributed to research in topics: Computer science & Fuzzy logic. The author has an hindex of 3, co-authored 6 publications.
Chat about Author
Papers
Interval-valued intuitionistic hesitant fuzzy entropy based VIKOR method for industrial robots selection
TL;DR: The interval- valued intuitionistic hesitant fuzzy set is utilized as a competent mathematical tool for enunciate individuals hesitant thinking and VIKOR techniques utilized for industrial robot selection are proposed.
165
A Novel Assessment of Healthcare Waste Disposal Methods: Intuitionistic Hesitant Fuzzy MULTIMOORA Decision Making Approach
TL;DR: The MULTIMOORA decision making method with intuitionistic hesitant fuzzy set is extended to evaluate the healthcare waste treatment methods to reduce the associated health and environment risk.
The hesitant Pythagorean fuzzy ELECTRE III: An adaptable recycling method for plastic materials
Selvaraj Geetha,Samayan Narayanamoorthy,Joseph Varghese Kureethara,Dumitru Baleanu,Daekook Kang +4 more
TL;DR: A novel decision making method called HPF-ELECTRE method is introduced by extending the ELECTRE III (ELimination and Choice Expressing REality) method with HPF (Hesitant Pythagorean Fuzzy) set to find out the adaptable recycling method for plastics materials.
31
Fuzzy Case-Based Reasoning approach for finding COVID-19 patients priority in hospitals at source shortage period.
TL;DR: In this paper, the authors proposed an algorithm to evaluate COVID-19 patients admission in hospitals at source shortage period by considering not only the extent of the disease impact, but also other important factors such as spatial changes, climate risks, preparedness, blood type, age and comorbidities.
29
Sustainable renewable energy system selection for self-sufficient households using integrated fermatean neutrosophic fuzzy stratified AHP-MARCOS approach
Thangaraj Manirathinam,Samayan Narayanamoorthy,Selvaraj Geetha,Mohd Fairuz Iskandar Othman,Badr Saad Alotaibi,Ali Ahmadian,Daekook Kang +6 more
TL;DR: A novel approach integrates fermatean neutrosophic fuzzy and AHP-MARCOS to select sustainable renewable energy systems for self-sufficient households, identifying hybrid electric systems as the best choice for future smart houses with high economic benefits and sustainability.
25