Neuro fuzzy evaluation of circular economy based on waste generation, recycling, renewable energy, biomass and soil pollution

Abokersh, 2021, A framework for sustainable evaluation of thermal energy storage in circular economy, Renew. Energy, 175, 686, 10.1016/j.renene.2021.04.136 Akanbi, 2020, Deep learning model for Demolition Waste Prediction in a circular economy, J. Clean. Prod., 274 Alkhuzaim, 2020, Evaluating emergy analysis at the nexus of circular economy and sustainable supply chain management, Sustainable Production and Consumption Belmonte-Ureña, 2021, Circular economy, degrowth and green growth as pathways for research on sustainable development goals: a global analysis and future agenda, Ecol. Econ., 185 Chen, 2020, The effects of circular economy on economic growth: a quasi-natural experiment in China, J. Clean. Prod., 271 Cheng, 2019, A circular economy system for breaking the development dilemma of ‘ecological Fragility–Economic poverty’vicious circle: a CEEPS-SD analysis, J. Clean. Prod., 212, 381, 10.1016/j.jclepro.2018.12.014 Christensen, 2021, Towards a circular economy in cities: exploring local modes of governance in the transition towards a circular economy in construction and textile recycling, J. Clean. Prod., 305 Dong, 2021, Match circular economy and urban sustainability: Re-investigating circular economy under sustainable development goals (SDGs), Circular Economy and Sustainability, 1 Fan, 2020, Circular economy development in China-current situation, evaluation and policy implications, Environ. Impact Assess. Rev., 84 Gao, 2021, Evaluating circular economy performance based on ecological network analysis: a framework and application at city level. Resources,, Conserv. Recycl., 168 Jang, 1993, ANFIS: adaptive-network-based fuzzy inference system. IEEE transactions on systems, man, Cybernetics, 23, 665, 10.1109/21.256541 Jiao, 2021, Coupled particle swarm optimization method with genetic algorithm for the static–dynamic performance of the magneto-electro-elastic nanosystem, Eng. Comput., 1 Kabirifar, 2020, A conceptual foundation for effective construction and demolition waste management, Cleaner Engineering and Technology, 100019 Kabirifar, 2021, Effective construction and demolition waste management assessment through waste management hierarchy; a case of Australian large construction companies, J. Clean. Prod., 127790 Li, 2012, The research on quantitative evaluation of circular economy based on waste input-output analysis, Procedia Environmental Sciences, 12, 65, 10.1016/j.proenv.2012.01.248 Li, 2021, Toward the construction of a circular economy eco-city: an emergy-based sustainability evaluation of Rizhao city in China, Sustainable Cities and Society, 71 Li Stumpf, 2021, Climbing up the circularity ladder?–A mixed-methods analysis of circular economy in business practice, J. Clean. Prod., 128158 Ma, 2021, Assessment of composite beam performance using GWO–ELM metaheuristic algorithm, Eng. Comput., 1 Magazzino, 2021, Waste generation, wealth and GHG emissions from the waste sector: is Denmark on the path towards circular economy?, Sci. Total Environ., 755 Mansouri, 2020, Analysis of influential factors for predicting the shear strength of a V-shaped angle shear connector in composite beams using an adaptive neuro-fuzzy technique (Retraction of, 30, 1247 Mastellone, 2020, Technical description and performance evaluation of different packaging plastic waste management's systems in a circular economy perspective, Sci. Total Environ., 718, 137233, 10.1016/j.scitotenv.2020.137233 Mohammadhassani, 2014, An evolutionary fuzzy modelling approach and comparison of different methods for shear strength prediction of high-strength concrete beams without stirrups, Smart Struct Syst Int J, 14, 785, 10.12989/sss.2014.14.5.785 Mohammadi, 2020, Performance analysis of waste-to-energy technologies for sustainable energy generation in integrated supply chains, Comput. Chem. Eng., 140 Pazhoohan, 2019, Experimental investigation and adaptive neural fuzzy inference system prediction of copper recovery from flotation tailings by acid leaching in a batch agitated tank, International Journal of Minerals, Metallurgy, and Materials, 26, 538, 10.1007/s12613-019-1762-4 Safa, 2016, Potential of adaptive neuro fuzzy inference system for evaluating the factors affecting steel-concrete composite beam's shear strength, Steel Compos. Struct., 21, 679, 10.12989/scs.2016.21.3.679 Safa, 2016, Potential of adaptive neuro fuzzy inference system for evaluating the factors affecting steel-concrete composite beam's shear strength, Steel Compos. Struct., 21, 679, 10.12989/scs.2016.21.3.679 Safa, 2020, Development of neuro-fuzzy and neuro-bee predictive models for prediction of the safety factor of eco-protection slopes, Phys. Stat. Mech. Appl., 550 Sakiewicz, 2020, Neural network prediction of parameters of biomass ashes, reused within the circular economy frame, Renew. Energy, 162, 743, 10.1016/j.renene.2020.08.088 Sedghi, 2018, Application of ANFIS technique on performance of C and L shaped angle shear connectors, Smart Struct. Syst., 22, 335 Shanmugam, 2021, Circular economy in biocomposite development: state-of-the-art, challenges and emerging trends, Composites Part C: Open Access, 100138 Shariati, 2020, Identification of the most influencing parameters on the properties of corroded concrete beams using an Adaptive Neuro-Fuzzy Inference System (ANFIS), Steel Compos. Struct., 34, 155 Shariati, 2020, Identification of the most influencing parameters on the properties of corroded concrete beams using an Adaptive Neuro-Fuzzy Inference System (ANFIS), Steel Compos. Struct., 34, 155 Shariati, 2020, A novel approach to predict shear strength of tilted angle connectors using artificial intelligence techniques, Eng. Comput., 1 Singhal, 2020, Remanufacturing for the circular economy: study and evaluation of critical factors. Resources, Conserv. Recycl., 156 Swann, 2017, Waste to energy solution–the sludge treatment facility in Tuen Mun, Hong Kong, Energy Procedia, 143, 500, 10.1016/j.egypro.2017.12.717 Tang, 2021, Multi-attribute large-scale group decision making with data mining and subgroup leaders: an application to the development of the circular economy, Technol. Forecast. Soc. Change, 167 Tang, 2020, A spatio-temporal perspective of China's industrial circular economy development, Sci. Total Environ., 706 Upadhyay, 2021, Exploring barriers and drivers to the implementation of circular economy practices in the mining industry, Resour. Pol., 72 Vlachokostas, 2020, Externalities of energy sources: the operation of a municipal solid waste-to-energy incineration facility in the greater Thessaloniki area, Greece, Waste Manag., 113, 351, 10.1016/j.wasman.2020.06.015 Wang, 2021, The circular economy transformation in industrial parks: theoretical reframing of the resource and environment matrix. Resources,, Conserv. Recycl., 167 Woodliffe, 2021, Evaluating the purification and activation of metal-organic frameworks from a technical and circular economy perspective, Coord. Chem. Rev., 428 Wu, 2021, Prediction of the Charpy V-notch impact energy of low carbon steel using a shallow neural network and deep learning. International Journal of Minerals, Metallurgy and Materials, 28, 1, 10.1007/s12613-020-2168-z Zhou, 2020, Driving force for China's economic development under Industry 4.0 and circular economy: technological innovation or structural change?, J. Clean. Prod., 271