Multiattribute decision-making based on TOPSIS technique and novel correlation coefficient of q-rung orthopair fuzzy sets

Patel, Vikash; Kumar, Harendra; Redhu, Ashu; Kumar, Kamal

doi:10.1007/s41066-024-00493-3

Granul. Comput.

2024

DOI: 10.1007/s41066-024-00493-3

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Multiattribute decision-making based on TOPSIS technique and novel correlation coefficient of q-rung orthopair fuzzy sets

Vikash Patel,

Harendra Kumar,

Ashu Redhu

et al.

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Cited by 2 publications

References 38 publications

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Dynamic localization based-utility decision approach under type-2 Pythagorean fuzzy set for developing internet of modular self-reconfiguration robot things

Mourad,

Zaidan,

Alsattar

et al. 2025

Engineering Applications of Artificial Intelligence

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Dynamic localization based-utility decision approach under type-2 Pythagorean fuzzy set for developing internet of modular self-reconfiguration robot things

Mourad,

Zaidan,

Alsattar

et al. 2025

Engineering Applications of Artificial Intelligence

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Carbon Emission Reduction Target Setting and Implementation for Power Grid Enterprises Based on Intelligent Decision Support System

Wang,

Zhang,

Qiao

et al. 2024

Applied Mathematics and Nonlinear Sciences

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The electric power industry is the most important basic energy industry in the development of the national economy, which is now listed as a key energy-saving and emission-reduction field and is the main force in realizing low-carbon development. The study is based on the carbon emission accounting method, constructs a multi-objective decision-making optimization model with carbon emissions and economic benefits as the objective function, and decouples the model using the improved particle swarm algorithm. Then the TOPSIS algorithm is used to rank the optimal solution set of decision-making Pareto and select the optimal carbon emission reduction target for grid enterprises. Finally, the distributed integrated energy system of power grid enterprises under an intelligent decision support system is taken as an example for arithmetic simulation. The particle swarm algorithm and TOPSIS algorithm have the ability to determine the target for reducing carbon emissions in power grid enterprises, with the optimal economic cost and carbon emission ranging from 160.465 billion yuan and 467.865 million tons, respectively. It can be seen that at this time, the carbon emissions are relatively low and the cost is relatively low, which can meet the overall implementation of the carbon emissions reduction target of the grid enterprise. The study provides reference significance for the formulation and implementation of low-carbon emission targets for power grid enterprises, and promotes the sustainable development of power grid enterprises.

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Multiattribute decision-making based on TOPSIS technique and novel correlation coefficient of q-rung orthopair fuzzy sets

Cited by 2 publications

References 38 publications

Dynamic localization based-utility decision approach under type-2 Pythagorean fuzzy set for developing internet of modular self-reconfiguration robot things

Dynamic localization based-utility decision approach under type-2 Pythagorean fuzzy set for developing internet of modular self-reconfiguration robot things

Carbon Emission Reduction Target Setting and Implementation for Power Grid Enterprises Based on Intelligent Decision Support System

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