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Autori: Narayanamoorthy Samayan

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Naslov Fuzzy Multi-Criteria Decision Support System for the Best Anti-Aging Treatment Selection Process through Normal Wiggly Hesitant Fuzzy Sets (Article)
Autori Kang Daekook Lakshmanaraj Ramya Narayanamoorthy Samayan Devi Navaneethakrishnan Suganthi Keerthana Kalaiselvan Samayan Saraswathy Ranganathan Pamucar Dragan S  Simic Vladimir D  
Info CMC-COMPUTERS MATERIALS & CONTINUA, (2024), vol. 80 br. 3, str. 4947-4972
Projekat Korean Government (MSIT) [NRF-2022R1C1C1006671]
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Naslov Decision-analytics-based PET plastic recycling selection - a hesitant fuzzy comprehensive ratio assessment model (Article; Early Access)
Autori Suvitha Krishnan Murugesan Veeramuthu Jaisankar Ramasamy Sandra Michael Narayanamoorthy Samayan Pamucar Dragan S  Kang Daekook 
Info ENVIRONMENT DEVELOPMENT AND SUSTAINABILITY, (2024), vol. br. , str. -
Projekat National Research Foundation (NRF) of Korea - Korean Government (MSIT) [NRF-2022R1C1C1006671]
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Naslov Sustainable management of polyethylene terephthalate waste flow using a fuzzy frank weighted assessment model (Article)
Autori Pamucar Dragan S  Simic Vladimir D  Dabic-Miletic Svetlana  Zaidan Aws Aalaa Petrovic Natasa B Narayanamoorthy Samayan 
Info ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE, (2024), vol. 138 br. , str. -
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Naslov An insightful multicriteria model for the selection of drilling technique for heat extraction from geothermal reservoirs using a fuzzy-rough approach (Article)
Autori Sandra Michael Narayanamoorthy Samayan Suvitha Krishnan Pamucar Dragan S  Simic Vladimir D  Kang Daekook 
Info INFORMATION SCIENCES, (2024), vol. 686 br. , str. -
Projekat Ministry of Education of the Republic of Korea; National Research Foundation of Korea (NRF) [NRF-2024S1A5A8028933]
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Naslov A complex fuzzy decision model for analysing the post-pandemic immuno-sustainability (Article)
Autori Pragathi Subramaniam Narayanamoorthy Samayan Dhivya Selvaraj Saraswathy Ranganathan Pamucar Dragan S  Simic Vladimir D  Kang Daekook 
Info ACTA TROPICA, (2024), vol. 256 br. , str. -
Projekat National Research Foundation (NRF) of Korea - Korean Government (MSIT) [NRF- 2022R1C1C1006671]
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Naslov Evaluation of extracting biomass energy using a strategic decision support system (Article)
Autori Suvitha Krishnan Narayanamoorthy Samayan Sandra Michael Pamucar Dragan S  Simic Vladimir D  Kang Daekook 
Info APPLIED SOFT COMPUTING, (2024), vol. 161 br. , str. -
Projekat National Research Foundation (NRF) of Korea - Korean Government (MSIT) [NRF-2022R1C1C1006671]
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Naslov An Integrated Bipolar Picture Fuzzy Decision Driven System to Scrutinize Food Waste Treatment Technology through Assorted Factor Analysis (Article; Early Access)
Autori Devi Navaneethakrishnan Suganthi Keerthana Narayanamoorthy Samayan Parthasarathy Thirumalai Nallasivan Thilagasree Chakkarapani Sumathi Pamucar Dragan S  Simic Vladimir D  Dincer Hasan Yuksel Serhat 
Info CMES-COMPUTER MODELING IN ENGINEERING & SCIENCES, (2024), vol. br. , str. -
Projekat Department of Mathematics, Bharathiar Univer-sity, Coimbatore, India
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Naslov An enhanced decision making model for industrial robotic selection using three factors: Positive, abstained, and negative grades of membership (Article)
Autori Kang Daekook Sandra Michael Narayanamoorthy Samayan Suvitha Krishnan Pamucar Dragan S  Simic Vladimir D  
Info APPLIED SOFT COMPUTING, (2024), vol. 155 br. , str. -
Projekat National Research Foundation (NRF) of Korea - Korean Government (MSIT) [NRF-2022R1C1C1006671]
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Naslov An ideal plastic waste management system based on an enhanced MCDM technique (Article)
Autori Suvitha Krishnan Narayanamoorthy Samayan Pamucar Dragan S  Kang Daekook 
Info ARTIFICIAL INTELLIGENCE REVIEW, (2024), vol. 57 br. 4, str. -
Projekat National Research Foundation (NRF) of Korea grant funded by the Korean Government (MSIT) [NRF-2022R1C1C1006671]; National Research Foundation (NRF) of Korea - Korean Government (MSIT)
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Naslov An Idiosyncratic Interval Valued Picture q-Rung Orthopair Fuzzy Decision-Making Model for Electric Vehicle Battery Charging Technology Selection (Article; Early Access)
Autori Parthasarathy Thirumalai Nallasivan Narayanamoorthy Samayan Devi Navaneethakrishnan Suganthi Keerthana Pamucar Dragan S  Simic Vladimir D  Kang Daekook 
Info INTERNATIONAL JOURNAL OF FUZZY SYSTEMS, (2024), vol. br. , str. -
Projekat National Research Foundation(NRF) of South Korea - Korean Government (MSIT) [NRF2022R1C1C1006671]
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