Acta Tropica, Journal Year: 2024, Volume and Issue: 256, P. 107261 - 107261
Published: May 19, 2024
Language: Английский
International Journal of Energy Sector Management, Journal Year: 2024, Volume and Issue: unknown
Published: July 24, 2024
Purpose This study aims to find the best location for constructing green energy facilities in India and reducing CO 2 emissions. Incorporating is a priority many countries under Paris Agreement. task challenging due factors that affect implementation, making wrong decision wastes resources. India’s goals are net-zero emissions by 2070 50% renewable electricity 2030. Other developing nations should emulate strategy. ranks fourth wind power, fifth solar power capacity. research identify locations implementing projects. Design/methodology/approach To optimal implementation sites India, this uses hybrid multicriteria analysis (MCDA) an uncertain environment. Delphi method most suitable India. It adapts elements investigation. In addition, utilization of Fermatean fuzzy weighted aggregated sum product assessment technique implemented effectively prioritize impact selection these sites. used MEREC (method based on removal effects criteria) areas energy. The highest accuracy attained through amalgamation methods. Findings Following computation data MCDA uncertainty environment, NP Kunta Andhra Pradesh emerges as recommended site among 11 considered. Also political strategies objectives hold them. Originality/value pioneering its efforts provide comprehensive perspective development management operations proves advantageous diverse successful adoption additionally valuable informing policy aimed at promoting use employees methods environments.
Language: Английский
Citations
2
Artificial Intelligence Review, Journal Year: 2024, Volume and Issue: 57(10)
Published: Aug. 26, 2024
Abstract Multi-criteria decision analysis (MCDA) methods are vital in assessing variants under multiple conditions. However, involving domain experts developing models can be challenging and costly, necessitating more scalable independent solutions. This paper introduces the intelligent characteristic objects method (INCOME), which combines k-Nearest Neighbor (kNN) algorithm COMET to create a theoretical decision-maker for comparing (COs). INCOME overcomes limitations of classical MCDA methods, such as TOPSIS approach, struggles with complex functions non-monotonic modeling. influences data-based knowledge provide robust framework options. The integration kNN enables improved modeling based on evaluated data, increasing flexibility independence approach. A case study gas power plants four criteria is presented validate performance method. results demonstrate high correlations reference model slightly higher approaches like TOPSIS-COMET. exhibits greater stability by utilizing all available data instead relying limited expert knowledge. proposed approach offers several advantages, including creating continuous model, resistance Rank-Reversal phenomenon, potential replacing artificial experts. highlights effectiveness Multi-Criteria Decision Analysis. It suggests future research directions, parameter selection testing different decision-making problems.
Language: Английский
Citations
2
Artificial Intelligence Review, Journal Year: 2024, Volume and Issue: 57(10)
Published: Sept. 5, 2024
Language: Английский
Citations
2
Computers & Industrial Engineering, Journal Year: 2024, Volume and Issue: 190, P. 110056 - 110056
Published: March 9, 2024
Language: Английский
Citations
1
Acta Tropica, Journal Year: 2024, Volume and Issue: 256, P. 107261 - 107261
Published: May 19, 2024
Language: Английский
Citations
0