Sustainable resilient recycling partner selection for urban waste management: Consolidating perspectives of decision-makers and experts

[1]  Saeid Jafarzadeh Ghoushchi,et al.  HECON: Weight assessment of the product loyalty criteria considering the customer decision's halo effect using the convolutional neural networks , 2022, Inf. Sci..

[2]  Ali Ebadi Torkayesh,et al.  Integrating life cycle assessment and multi criteria decision making for sustainable waste management: Key issues and recommendations for future studies , 2022, Renewable and Sustainable Energy Reviews.

[3]  Saeid Jafarzadeh Ghoushchi,et al.  Extended base-criterion method based on the spherical fuzzy sets to evaluate waste management , 2022, Soft Computing.

[4]  M. Tseng,et al.  Impacts of the COVID-19 pandemic on household food waste behaviour: A systematic review , 2022, Appetite.

[5]  M. Hajiaghaei-Keshteli,et al.  Designing an effective two-stage, sustainable, and IoT based waste management system , 2022, Renewable and Sustainable Energy Reviews.

[6]  E. Yadegaridehkordi,et al.  Moving towards green university: a method of analysis based on multi-criteria decision-making approach to assess sustainability indicators , 2022, International Journal of Environmental Science and Technology.

[7]  Saeid Jafarzadeh Ghoushchi,et al.  Assessment and Prioritize Risk Factors of Financial Measurement of Management Control System for Production Companies Using a Hybrid Z-SWARA and Z-WASPAS with FMEA Method: A Meta-Analysis , 2022, Mathematics.

[8]  Muhammet Gul,et al.  Systems failure analysis using Z-number theory-based combined compromise solution and full consistency method , 2021, Appl. Soft Comput..

[9]  J. Heydari,et al.  Food waste recycling closed loop supply chain optimization through renting waste recycling facilities ☆ , 2021, Sustainable Cities and Society.

[10]  C. Sundberg,et al.  Mapping and assessing indicator-based frameworks for monitoring circular economy development at the city-level , 2021, Sustainable Cities and Society.

[11]  Nidhi Pareek,et al.  An overview of municipal solid waste management in Jaipur city, India - Current status, challenges and recommendations , 2021, Renewable and Sustainable Energy Reviews.

[12]  Pravin Kumar,et al.  Analyzing challenges for sustainable supply chain of electric vehicle batteries using a hybrid approach of Delphi and Best-Worst Method , 2021, Resources, Conservation and Recycling.

[13]  A. Mishra,et al.  A q-rung orthopair fuzzy ARAS method based on entropy and discrimination measures: an application of sustainable recycling partner selection , 2021, Journal of Ambient Intelligence and Humanized Computing.

[14]  Ali Ebadi Torkayesh,et al.  Stratified Hybrid Decision Model with Constrained Attributes: Recycling Facility Location for Urban Healthcare Plastic Waste , 2021, Sustainable Cities and Society.

[15]  M. Nilashi,et al.  Effect of internet of things on manufacturing performance: A hybrid multi-criteria decision-making and neuro-fuzzy approach , 2021, Technovation.

[16]  Muhammet Deveci,et al.  Remanufacturing facility location for automotive Lithium-ion batteries: An integrated neutrosophic decision-making model , 2021 .

[17]  Belgacem Bouallegue,et al.  An Integrated Mathematical Attitude Utilizing Fully Fuzzy BWM and Fuzzy WASPAS for Risk Evaluation in a SOFC , 2021, Mathematics.

[18]  E. B. Tirkolaee,et al.  A Novel Approach for Group Decision Making Based on the Best–Worst Method (G-BWM): Application to Supply Chain Management , 2021, Mathematics.

[19]  Md. Abdul Moktadir,et al.  Supply chain recovery challenges in the wake of COVID-19 pandemic , 2021, Journal of Business Research.

[20]  Harish Garg,et al.  Hesitant Fuzzy Soft Combined Compromise Solution Method for IoE Companies’ Evaluation , 2021, Int. J. Fuzzy Syst..

[21]  Turan Paksoy,et al.  A Novel Methodology for Prioritizing Zero-Carbon Measures for Sustainable Transport , 2021, Sustainable Production and Consumption.

[22]  E. Delice,et al.  Prioritizing of industrial wastewater management processes using an integrated AHP–CoCoSo model: comparative and sensitivity analyses , 2021, International Journal of Environmental Science and Technology.

[23]  Arunodaya Raj Mishra,et al.  Assessment of sustainable third party reverse logistic provider using the single-valued neutrosophic Combined Compromise Solution framework , 2021 .

[24]  Harish Garg,et al.  Intuitionistic fuzzy soft decision making method based on CoCoSo and CRITIC for CCN cache placement strategy selection , 2021, Artificial Intelligence Review.

[25]  Peide Liu,et al.  A novel Pythagorean fuzzy combined compromise solution framework for the assessment of medical waste treatment technology , 2021 .

[26]  E. Zavadskas,et al.  An integrated assessment of the municipal buildings’ use including sustainability criteria , 2021 .

[27]  Selman Karagoz,et al.  Interval type-2 Fuzzy ARAS method for recycling facility location problems , 2021, Appl. Soft Comput..

[28]  S. Khan,et al.  Resilience and cleaner production in industry 4.0: Role of supply chain mapping and visibility , 2021, Journal of Cleaner Production.

[29]  Ilgin Gokasar,et al.  Fuzzy Power Heronian function based CoCoSo method for the advantage prioritization of autonomous vehicles in real-time traffic management , 2021 .

[30]  A. M. Fathollahi-Fard,et al.  A hyper-hybrid fuzzy decision-making framework for the sustainable-resilient supplier selection problem: a case study of Malaysian Palm oil industry , 2021, Environmental Science and Pollution Research.

[31]  Ali Ebadi Torkayesh,et al.  Sustainable waste disposal technology selection: The stratified best-worst multi-criteria decision-making method. , 2021, Waste management.

[32]  Md. Abdul Moktadir,et al.  A supply chain disruption risk mitigation model to manage COVID-19 pandemic risk , 2021, Environmental Science and Pollution Research.

[33]  K. S. Ravichandran,et al.  A novel interval-valued fuzzy soft decision-making method based on CoCoSo and CRITIC for intelligent healthcare management evaluation , 2021, Soft Computing.

[34]  G. Falcone,et al.  A review on energy supply chain resilience through optimization , 2020 .

[35]  M. Helms,et al.  Redesigning Supply Chains using Blockchain-Enabled Circular Economy and COVID-19 Experiences , 2020, Sustainable Production and Consumption.

[36]  S. Koh,et al.  A critical analysis of the impacts of COVID-19 on the global economy and ecosystems and opportunities for circular economy strategies , 2020, Resources, Conservation and Recycling.

[37]  B. Dubey,et al.  Challenges, opportunities, and innovations for effective solid waste management during and post COVID-19 pandemic , 2020, Resources, Conservation and Recycling.

[38]  B. Kulkarni,et al.  Repercussions of COVID-19 pandemic on municipal solid waste management: Challenges and opportunities , 2020, Science of The Total Environment.

[39]  Cuiping Wei,et al.  Factor relation analysis for sustainable recycling partner evaluation using probabilistic linguistic DEMATEL , 2020, Fuzzy Optim. Decis. Mak..

[40]  Jiří Jaromír Klemeš,et al.  Minimising the present and future plastic waste, energy and environmental footprints related to COVID-19 , 2020, Renewable and Sustainable Energy Reviews.

[41]  Shib Sankar Sana,et al.  Base-criterion on multi-criteria decision-making method and its applications , 2019, International Journal of Management Science and Engineering Management.

[42]  Paritosh C. Deshpande,et al.  Multi-criteria decision analysis (MCDA) method for assessing the sustainability of end-of-life alternatives for waste plastics: A case study of Norway. , 2020, The Science of the total environment.

[43]  Selman Karagoz,et al.  A novel intuitionistic fuzzy MCDM-based CODAS approach for locating an authorized dismantling center: a case study of Istanbul , 2020, Waste management & research : the journal of the International Solid Wastes and Public Cleansing Association, ISWA.

[44]  G. Dixit,et al.  A novel hybrid MCDM framework for WEEE recycling partner evaluation on the basis of green competencies , 2019 .

[45]  Xindong Peng,et al.  Pythagorean fuzzy MCDM method based on CoCoSo and CRITIC with score function for 5G industry evaluation , 2019, Artificial Intelligence Review.

[46]  E. Zavadskas,et al.  A combined compromise solution (CoCoSo) method for multi-criteria decision-making problems , 2019, Management Decision.

[47]  Lin Li,et al.  An uncertain Z-number multicriteria group decision-making method with cloud models , 2019, Inf. Sci..

[48]  Huchang Liao,et al.  Extended Pythagorean Fuzzy TOPSIS Method Based on Similarity Measure for Sustainable Recycling Partner Selection , 2019, International Journal of Fuzzy Systems.

[49]  Armin Jabbarzadeh,et al.  Sustainable design of a municipal solid waste management system considering waste separators: A real-world application , 2019, Sustainable Cities and Society.

[50]  J. Nathwani,et al.  Quantifying security and resilience of Chinese coastal urban ecosystems. , 2019, The Science of the total environment.

[51]  Hamidreza Fallah Lajimi,et al.  Resilient supplier selection and segmentation in grey environment , 2019, Journal of Cleaner Production.

[52]  Anthony Soroka,et al.  A hybrid MCDM-fuzzy multi-objective programming approach for a G-resilient supply chain network design , 2019, Comput. Ind. Eng..

[53]  Zhang-peng Tian,et al.  An integrated approach for failure mode and effects analysis based on fuzzy best-worst, relative entropy, and VIKOR methods , 2018, Appl. Soft Comput..

[54]  Elizabeth Chang,et al.  ZBWM: The Z-number extension of Best Worst Method and its application for supplier development , 2018, Expert Syst. Appl..

[55]  Xu Wang,et al.  Sustainable recycling partner selection using fuzzy DEMATEL-AEW-FVIKOR: A case study in small-and-medium enterprises (SMEs) , 2018, Journal of Cleaner Production.

[56]  Sanjay Jharkharia,et al.  An interpretive structural modeling (ISM) and decision-making trail and evaluation laboratory (DEMATEL) method approach for the analysis of barriers of waste recycling in India , 2018, Journal of the Air & Waste Management Association.

[57]  Geerten van de Kaa,et al.  The battle between battery and fuel cell powered electric vehicles: A BWM approach , 2017 .

[58]  Ashkan Hafezalkotob,et al.  A novel approach for combination of individual and group decisions based on fuzzy best-worst method , 2017, Appl. Soft Comput..

[59]  Sen Guo,et al.  Fuzzy best-worst multi-criteria decision-making method and its applications , 2017, Knowl. Based Syst..

[60]  Mehrbakhsh Nilashi,et al.  Multi-criteria decision making approach in E-learning: A systematic review and classification , 2016, Appl. Soft Comput..

[61]  Vijay Kumar Garlapati,et al.  E-waste in India and developed countries: Management, recycling, business and biotechnological initiatives , 2016 .

[62]  Ming-Lang Tseng,et al.  Multicriteria analysis of sustainable development indicators in the construction minerals industry in China , 2015 .

[63]  Joseph Sarkis,et al.  Supplier selection for sustainable operations: A triple-bottom-line approach using a Bayesian framework , 2015 .

[64]  J. Rezaei Best-worst multi-criteria decision-making method , 2015 .

[65]  Santoso Wibowo,et al.  Multi-criteria group decision making for evaluating the performance of e-waste recycling programs under uncertainty. , 2015, Waste management.

[66]  Bo Yan,et al.  A decision support system to select suppliers for a sustainable supply chain based on a systematic DEA approach , 2015, Inf. Technol. Manag..

[67]  Kim Hua Tan,et al.  Close-loop or open hierarchical structures in green supply chain management under uncertainty , 2014, Expert Syst. Appl..

[68]  Chung-Min Wu,et al.  A Hybrid Multiple Criteria Decision Making Model for Supplier Selection , 2013 .

[69]  E. Zavadskas,et al.  Optimization of Weighted Aggregated Sum Product Assessment , 2012 .

[70]  Lotfi A. Zadeh,et al.  A Note on Z-numbers , 2011, Inf. Sci..

[71]  Gwo-Hshiung Tzeng,et al.  Compromise solution by MCDM methods: A comparative analysis of VIKOR and TOPSIS , 2004, Eur. J. Oper. Res..

[72]  Saeid Jafarzadeh Ghoushchi,et al.  Evaluation of Wind Turbine Failure Modes Using the Developed SWARA-CoCoSo Methods Based on the Spherical Fuzzy Environment , 2022, IEEE Access.

[73]  Bingyi Kang,et al.  ZE-numbers: A new extended Z-numbers and its application on multiple attribute group decision making , 2021, Eng. Appl. Artif. Intell..

[74]  Arunodaya Raj Mishra,et al.  Novel Single-Valued Neutrosophic Combined Compromise Solution Approach for Sustainable Waste Electrical and Electronics Equipment Recycling Partner Selection , 2020, IEEE Transactions on Engineering Management.

[75]  M. Reichenbach Sustainable , 2014, ATZ worldwide.

[76]  Robert LIN,et al.  NOTE ON FUZZY SETS , 2014 .

[77]  Ching-Lai Hwang,et al.  Methods for Multiple Attribute Decision Making , 1981 .