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Autori: Suvitha Krishnan

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Naslov A Trace to Median Index Based Fuzzy Decision Making Technique for Weed Management in Agricultural Systems (Article)
Autori Sandra Michael Narayanamoorthy Samayan Suvitha Krishnan Pamucar Dragan S  Simic Vladimir D  Kang Daekook 
Info IEEE ACCESS, (2024), vol. 12 br. , str. 165185-165202
Projekat Ministry of Education of the Republic of Korea; National Research Foundation of Korea (NRF) [NRF-2024S1A5A8028933]
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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 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 Analysis of municipal solid waste as a source of energy production using fuzzy decision system (Article)
Autori Thilagasree Chakkarapani Sumathi Jayakumar Thippan Suvitha Krishnan Sandra Michael Pamucar Dragan S  Simic Vladimir D  Jeon Jeonghwan 
Info APPLIED SOFT COMPUTING, (2024), vol. 163 br. , str. -
Projekat National Research Foundation (NRF) of Korea - Korean Government (MSIT) [2019R1A2C1090655]
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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 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 Evaluation of wave energy converters based on integrated ELECTRE approach (Article)
Autori Kang Daekook Suvitha Krishnan Narayanamoorthy Samayan Sandra Michael Pamucar Dragan S  
Info EXPERT SYSTEMS WITH APPLICATIONS, (2024), vol. 242 br. , str. -
Projekat National Research Foundation of Korea (NRF) South Korea - Korean Government (MSIT) [NRF2022R1C1C1006671]
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