Critical Success Factors for 5G Technology Adaptation in Supply Chains
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[1] Gautam Bandyopadhyay,et al. A multi-criteria framework for comparing dividend pay capabilities: Evidence from Indian FMCG and consumer durable sector , 2022, Decision Making: Applications in Management and Engineering.
[2] K. Ullah,et al. Construction Material Selection by Using Multi-Attribute Decision Making Based on q-Rung Orthopair Fuzzy Aczel–Alsina Aggregation Operators , 2022, Applied Sciences.
[3] L. J. Muhammad,et al. Measuring Sustainability Performance Indicators Using FUCOM-MARCOS Methods , 2022, Operational Research in Engineering Sciences: Theory and Applications.
[4] D. Pamučar,et al. A New Spherical Fuzzy LBWA-MULTIMOOSRAL Framework: Application in Evaluation of Leanness of MSMEs in India , 2022, Mathematical Problems in Engineering.
[5] L. Ocampo. Full consistency method (FUCOM) and weighted sum under fuzzy information for evaluating the sustainability of farm tourism sites , 2022, Soft Computing.
[6] Radoje Vujadinović,et al. Toward Sustainable Urban Mobility by Using Fuzzy-FUCOM and Fuzzy-CoCoSo Methods: The Case of the SUMP Podgorica , 2022, Sustainability.
[7] Ibrahim M. Hezam,et al. A q-Rung Orthopair Fuzzy FUCOM Double Normalization-Based Multi-Aggregation Method for Healthcare Waste Treatment Method Selection , 2022, Sustainability.
[8] Dr Vaibhav S. Narwane,et al. Unlocking adoption challenges of IoT in Indian Agricultural and Food Supply Chain , 2022, Smart Agricultural Technology.
[9] D. Ivanov,et al. 5G in digital supply chain and operations management: fostering flexibility, end-to-end connectivity and real-time visibility through internet-of-everything , 2021, Int. J. Prod. Res..
[10] D. Garg,et al. Reliability optimization using hybrid genetic and particle swarm optimization algorithm , 2022, Yugoslav Journal of Operations Research.
[11] Hafiz Muhammad Athar Farid,et al. Picture fuzzy aggregation approach with application to third-party logistic provider selection process , 2022, Reports in Mechanical Engineering.
[12] J. N. Mukhopadhyaya,et al. An multi-criteria based analytical study of the impact of Covid-19 on ELSS fund performance , 2022, International Journal of Management and Decision Making.
[13] A hybrid q-rung orthopair fuzzy sets based CoCoSo model for floating offshore wind farm site selection in Norway , 2022, CSEE Journal of Power and Energy Systems.
[14] Ali M. Abdulshahed,et al. Sustainability performance measurement for Libyan Iron and Steel Company using Rough AHP , 2021, Journal of Decision Analytics and Intelligent Computing.
[15] Anchal Gupta,et al. Applications of emerging technologies in logistics sector for achieving circular economy goals during COVID 19 pandemic: analysis of critical success factors , 2021, International Journal of Logistics Research and Applications.
[16] M. Dobrodolac,et al. Picture fuzzy WASPAS method for selecting last-mile delivery mode: a case study of Belgrade , 2021, European Transport Research Review.
[17] Ibrahim Badi,et al. Resolving a location selection problem by means of an integrated AHP-RAFSI approach , 2021 .
[18] Madhusanka Liyanage,et al. Survey on Network Slicing for Internet of Things Realization in 5G Networks , 2021, IEEE Communications Surveys & Tutorials.
[19] Arunodaya Raj Mishra,et al. A New Extended VIKOR Approach Using q-Rung Orthopair Fuzzy Sets for Sustainable Enterprise Risk Management Assessment in Manufacturing Small and Medium-Sized Enterprises , 2021, International Journal of Fuzzy Systems.
[20] Sevcan Yilmaz Gündüz,et al. A novel approach to multi‐attribute group decision making based on power neutrality aggregation operator for q‐rung orthopair fuzzy sets , 2021, Int. J. Intell. Syst..
[21] Muhammad Tahir Hamid,et al. Multi-criteria decision making in robotic agri-farming with q-rung orthopair m-polar fuzzy sets , 2021, PloS one.
[22] Faranak Feizi,et al. FUCOM-MOORA and FUCOM-MOOSRA: new MCDM-based knowledge-driven procedures for mineral potential mapping in greenfields , 2021, SN Applied Sciences.
[23] Bo Peng,et al. Digital leadership: State governance in the era of digital technology , 2021, Cultures of Science.
[24] Harish Garg,et al. A new possibility degree measure for interval‐valued q ‐rung orthopair fuzzy sets in decision‐making , 2021, Int. J. Intell. Syst..
[25] John G. Keogh,et al. 5G Networks in the Value Chain , 2020, Wireless Personal Communications.
[26] Poom Kumam,et al. Knowledge measure for the q‐rung orthopair fuzzy sets , 2020, Int. J. Intell. Syst..
[27] Harish Garg,et al. Algorithms for complex interval‐valued q‐rung orthopair fuzzy sets in decision making based on aggregation operators, AHP, and TOPSIS , 2020, Expert Syst. J. Knowl. Eng..
[28] Nicolas Beldiceanu,et al. ASSISTANT: Learning and Robust Decision Support System for Agile Manufacturing Environments , 2021, IFAC-PapersOnLine.
[29] Vlada S. Sokolovic,et al. Uncertainty modeling using 929 intuitionistic fuzzy numbers , 2021, Vojnotehnicki glasnik.
[30] Mahmut Bakır,et al. REGIONAL AIRCRAFT SELECTION WITH FUZZY PIPRECIA AND FUZZY MARCOS: A CASE STUDY OF THE TURKISH AIRLINE INDUSTRY , 2021, Facta Universitatis, Series: Mechanical Engineering.
[31] D. Pamučar,et al. A NEW LOGARITHM METHODOLOGY OF ADDITIVE WEIGHTS (LMAW) FOR MULTI-CRITERIA DECISION-MAKING: APPLICATION IN LOGISTICS , 2021, Facta Universitatis, Series: Mechanical Engineering.
[32] Seungkeun Park,et al. A Survey on 4G-5G Dual Connectivity: Road to 5G Implementation , 2021, IEEE Access.
[33] Vuk Bogdanović,et al. A Novel CRITIC-Fuzzy FUCOM-DEA-Fuzzy MARCOS Model for Safety Evaluation of Road Sections Based on Geometric Parameters of Road , 2020, Symmetry.
[34] Horst Treiblmaier,et al. Internet of Things research in supply chain management and logistics: A bibliometric analysis , 2020, Internet Things.
[35] I. Badi,et al. Landfill site selection using a novel FUCOM-CODAS model: A case study in Libya , 2020 .
[36] W. Dhewanto,et al. Two scenarios for 5G deployment in Indonesia , 2020, Technological Forecasting and Social Change.
[37] Simon Forge,et al. Forming a 5G strategy for developing countries: A note for policy makers , 2020 .
[38] Ianire Taboada,et al. Understanding 5G technology for future supply chain management , 2020 .
[39] Mohsen Attaran,et al. Digital technology enablers and their implications for supply chain management , 2020 .
[40] Yousaf Bin Zikria,et al. Role of IoT Technology in Agriculture: A Systematic Literature Review , 2020, Electronics.
[41] Darko Bozanic,et al. A fuzzy Full Consistency Method-Dombi-Bonferroni model for prioritizing transportation demand management measures , 2020, Appl. Soft Comput..
[42] Sameer Qazi,et al. Internet of Things (IoT) for Next-Generation Smart Systems: A Review of Current Challenges, Future Trends and Prospects for Emerging 5G-IoT Scenarios , 2020, IEEE Access.
[43] Libor Švadlenka,et al. Picture Fuzzy Decision-Making Approach for Sustainable Last-Mile Delivery , 2020, IEEE Access.
[44] Sudeep Tanwar,et al. Blockchain for 5G-enabled IoT for industrial automation: A systematic review, solutions, and challenges , 2020, Mechanical Systems and Signal Processing.
[45] Dragan Pamučar,et al. New model for determining criteria weights: Level Based Weight Assessment (LBWA) model , 2019, Decision Making: Applications in Management and Engineering.
[46] Elmina Durmić,et al. A Novel Multi-Criteria Decision-Making Model: Interval Rough SAW Method for Sustainable Supplier Selection , 2019, Inf..
[47] Amitabha Ghosh,et al. 5G Evolution: A View on 5G Cellular Technology Beyond 3GPP Release 15 , 2019, IEEE Access.
[48] M. Ben-Daya,et al. Internet of things and supply chain management: a literature review , 2019, Int. J. Prod. Res..
[49] Xindong Peng,et al. Research on the assessment of classroom teaching quality with q‐rung orthopair fuzzy information based on multiparametric similarity measure and combinative distance‐based assessment , 2019, Int. J. Intell. Syst..
[50] Honghai Wang,et al. Multi‐attribute group decision‐making methods based on q‐rung orthopair fuzzy linguistic sets , 2019, Int. J. Intell. Syst..
[51] Enzo Morosini Frazzon,et al. Towards Supply Chain Management 4.0 , 2019, Brazilian Journal of Operations & Production Management.
[52] Mamta Agiwal,et al. Towards Connected Living: 5G Enabled Internet of Things (IoT) , 2019 .
[53] Rakesh D. Raut,et al. Improvement in the food losses in fruits and vegetable supply chain - a perspective of cold third-party logistics approach , 2019, Operations Research Perspectives.
[54] D. Sivaraj,et al. Implementation Challenges and Opportunities of Smart City and Intelligent Transport Systems in India , 2018, Intelligent Systems Reference Library.
[55] Rui Wang,et al. A Novel Approach for Green Supplier Selection under a q-Rung Orthopair Fuzzy Environment , 2018, Symmetry.
[56] Dragan Pamucar,et al. A New Model for Determining Weight Coefficients of Criteria in MCDM Models: Full Consistency Method (FUCOM) , 2018, Symmetry.
[57] Harish Garg,et al. Exponential operation and aggregation operator for q‐rung orthopair fuzzy set and their decision‐making method with a new score function , 2018, Int. J. Intell. Syst..
[58] Hui Gao,et al. Some q‐rung orthopair fuzzy Heronian mean operators in multiple attribute decision making , 2018, Int. J. Intell. Syst..
[59] Ramjee Prasad,et al. Impact of 5G Technologies on Industry 4.0 , 2018, Wireless Personal Communications.
[60] Peng Wang,et al. Some q‐Rung Orthopair Fuzzy Aggregation Operators and their Applications to Multiple‐Attribute Decision Making , 2018, Int. J. Intell. Syst..
[61] Srikanta Routroy,et al. Agriculture supply chain: A systematic review of literature and implications for future research , 2017 .
[62] Ronald R. Yager,et al. Generalized Orthopair Fuzzy Sets , 2017, IEEE Transactions on Fuzzy Systems.
[63] Benny Tjahjono,et al. What does Industry 4.0 mean to Supply Chain , 2017 .
[64] Martin White,et al. Internet of Things, Blockchain and Shared Economy Applications , 2016, EUSPN/ICTH.
[65] Barrett W. Thomas,et al. Harvest logistics in agricultural systems with multiple, independent producers and no on-farm storage , 2016, Comput. Ind. Eng..
[66] Xiaoqing Yu,et al. Survey on Water-saving Agricultural Internet of Things based on Wireless Sensor Nerwork , 2015 .
[67] M. Meuwissen,et al. Risks and Risks Mitigations in the Supply Chain of Mangosteen: A Case Study , 2014 .
[68] Natalia Yakovleva,et al. Measuring the Sustainability of the Food Supply Chain: A Case Study of the UK , 2007 .
[69] Krassimir T. Atanassov,et al. Intuitionistic fuzzy sets , 1986 .