Research Article
Pythagorean Fuzzy Cognitive Maps in Making Optimal Decisions on Feasible Strategies for Inhibiting Electronic Waste
@INPROCEEDINGS{10.4108/eai.7-6-2021.2308766, author={F X Edwin Deepak and R Priya and W Lilly Merline and G Ramkumar and Nivetha Martin}, title={Pythagorean Fuzzy Cognitive Maps in Making Optimal Decisions on Feasible Strategies for Inhibiting Electronic Waste}, proceedings={Proceedings of the First International Conference on Computing, Communication and Control System, I3CAC 2021, 7-8 June 2021, Bharath University, Chennai, India}, publisher={EAI}, proceedings_a={I3CAC}, year={2021}, month={6}, keywords={pythagorean sets fuzzy cognitive maps decision making electronic waste}, doi={10.4108/eai.7-6-2021.2308766} }- F X Edwin Deepak
R Priya
W Lilly Merline
G Ramkumar
Nivetha Martin
Year: 2021
Pythagorean Fuzzy Cognitive Maps in Making Optimal Decisions on Feasible Strategies for Inhibiting Electronic Waste
I3CAC
EAI
DOI: 10.4108/eai.7-6-2021.2308766
Abstract
Electronic waste is an emerging cataclysm to the environment in recent times and the mounting industrial sectors are the constant contributors to it. Escalation of technology is being hailed but the environment impacts highly intrudes the resilience of the ecosystem. Refraining from technology is quite not possible in this digital epoch but reclamation of the milieu has high probability. Decision making on inhibiting electronic waste demands feasible strategies and it is the most challenging task for the industrial administrators. This paper proposes the new approach of Pythagorean fuzzy cognitive maps to find the viable strategies of electronic waste inhibition. The representation of the elements of the connection matrix as Pythagorean fuzzy sets is a distinctive feature of the research work. The strategies are subjected to the analysis of the experts to investigate their interrelational impacts. The resultant of the decision making model based on Pythagorean fuzzy cognitive maps is the score value of the strategies based on which they are ranked. This paper also presents the comparative analysis of Pythagorean fuzzy cognitive maps over fuzzy cognitive maps.
