A comparative analysis of Multi-Attributive Border Approximation Area Comparison (MABAC) model for healthcare supplier selection in fuzzy environments

[1]  I. D. Wangsa,et al.  A mixed-integer linear programming model for sustainable blood supply chain problems with shelf-life time and multiple blood types , 2023, Decision Analytics Journal.

[2]  K. S. Ravichandran,et al.  An improved entropy function for the intuitionistic fuzzy sets with application to cloud vendor selection , 2023, Decision Analytics Journal.

[3]  S. Khan,et al.  A decision support system for classifying supplier selection criteria using machine learning and random forest approach , 2023, Decision Analytics Journal.

[4]  D. Jain,et al.  Hybrid MCDM method on pythagorean fuzzy set and its application , 2023, Decision Making: Applications in Management and Engineering.

[5]  Diego Augusto de Jesus Pacheco,et al.  An integrated stepwise weight assessment ratio analysis and weighted aggregated sum product assessment framework for sustainable supplier selection in the healthcare supply chains , 2023, Supply Chain Analytics.

[6]  Mohamed Bouye,et al.  Fermatean Fuzzy CODAS Approach with Topology and Its Application to Sustainable Supplier Selection , 2023, Symmetry.

[7]  Mete Gündoğan,et al.  An integrated Analytic Hierarchy Process and Complex Proportional Assessment for vendor selection in supply chain management , 2022, Decision Analytics Journal.

[8]  Esra Boz,et al.  A Novel MDCM Approach for Sustainable Supplier Selection in Healthcare System in the Era of Logistics 4.0 , 2022, Sustainability.

[9]  Hong-Anh Pham,et al.  A Novel Integrating Data Envelopment Analysis and Spherical Fuzzy MCDM Approach for Sustainable Supplier Selection in Steel Industry , 2022, Mathematics.

[10]  Masoomeh Zeinalnezhad,et al.  An integrated multi-criteria decision-making and multi-objective optimization framework for green supplier evaluation and optimal order allocation under uncertainty , 2022, Decision Analytics Journal.

[11]  A. Ishizaka,et al.  Supplier selection in closed loop pharma supply chain: a novel BWM–GAIA framework , 2022, Annals of Operations Research.

[12]  S. M. Mousavi,et al.  An Interval-Valued Intuitionistic Fuzzy Model Based on Extended VIKOR and MARCOS for Sustainable Supplier Selection in Organ Transplantation Networks for Healthcare Devices , 2022, Sustainability.

[13]  Umar Muhammad Modibbo,et al.  Multi-criteria decision analysis for pharmaceutical supplier selection problem using fuzzyTOPSIS , 2022, Management Decision.

[14]  Ali Ebadi Torkayesh,et al.  Supplier selection in healthcare supply chain management during the COVID-19 pandemic: a novel fuzzy rough decision-making approach , 2022, Annals of Operations Research.

[15]  Gülçin Büyüközkan,et al.  A combined hesitant fuzzy MCDM approach for supply chain analytics tool evaluation , 2021, Appl. Soft Comput..

[16]  K. S. Ravichandran,et al.  A Hesitant Fuzzy Combined Compromise Solution Framework-Based on Discrimination Measure for Ranking Sustainable Third-Party Reverse Logistic Providers , 2021, Sustainability.

[17]  Edmundas Kazimieras Zavadskas,et al.  A New Decision-Making Approach Based on Fermatean Fuzzy Sets and WASPAS for Green Construction Supplier Evaluation , 2020 .

[18]  Sanjib Biswas,et al.  Measuring performance of healthcare supply chains in India: A comparative analysis of multi-criteria decision making methods , 2020 .

[19]  Ahmet Çalık,et al.  A novel Pythagorean fuzzy AHP and fuzzy TOPSIS methodology for green supplier selection in the Industry 4.0 era , 2020, Soft Computing.

[20]  Prasenjit Chatterjee,et al.  An integrated decision-making model for supplier evaluation in public healthcare system: the case study of a Spanish hospital , 2020, J. Enterp. Inf. Manag..

[21]  Iman Mohamad Sharaf,et al.  A spherical fuzzy TODIM approach for green occupational health and safety equipment supplier selection , 2020 .

[22]  Wojciech Sałabun,et al.  A New Coefficient of Rankings Similarity in Decision-Making Problems , 2020, ICCS.

[23]  Prasenjit Chatterjee,et al.  Sustainable supplier selection in healthcare industries using a new MCDM method: Measurement of alternatives and ranking according to COmpromise solution (MARCOS) , 2020, Comput. Ind. Eng..

[24]  Ronald R. Yager,et al.  Fermatean fuzzy sets , 2019, Journal of Ambient Intelligence and Humanized Computing.

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

[26]  Sirawadee Arunyanart,et al.  Supplier selection for hospital medical equipment using fuzzy multicriteria decision making approach , 2019, IOP Conference Series: Materials Science and Engineering.

[27]  Serap Akcan,et al.  Integrated Multicriteria Decision-Making Methods to Solve Supplier Selection Problem: A Case Study in a Hospital , 2019, Journal of healthcare engineering.

[28]  Firman,et al.  Analysis of Supplier Selection by Using the AHP and PROMETHEE Methods in Regional Public Hospital Padang (RSUD Padang) , 2019, Proceedings of the Third Padang International Conference On Economics Education, Economics, Business and Management, Accounting and Entrepreneurship (PICEEBA 2019).

[29]  A. Ganguly,et al.  A Decision-making Model for Supplier Selection in Indian Pharmaceutical Organizations , 2019, Journal of Health Management.

[30]  Rajesh Ranganathan,et al.  An Efficient supplier selection Model for Hospital Pharmacy through Fuzzy AHP and Fuzzy TOPSIS , 2019, International Journal of Services and Operations Management.

[31]  Masoumeh Kazemi Zanjani,et al.  Improving sustainability in a two-level pharmaceutical supply chain through Vendor-Managed Inventory system , 2019, Operations Research for Health Care.

[32]  Hamideh Yeganeh.  An analysis of emerging trends and transformations in global healthcare , 2019, International Journal of Health Governance.

[33]  Zenonas Turskis,et al.  A Fuzzy WASPAS-Based Approach to Determine Critical Information Infrastructures of EU Sustainable Development , 2019, Sustainability.

[34]  Hu-Chen Liu,et al.  An Extended VIKOR Method Using Intuitionistic Fuzzy Sets and Combination Weights for Supplier Selection , 2017, Symmetry.

[35]  Vivek Agrawal,et al.  Application of fuzzy MCDM in supplier selection of fertiliser manufacturing industry , 2017, Int. J. Bus. Perform. Supply Chain Model..

[36]  Nilaish Nilaish.  A Review of Indian Healthcare Sector , 2017 .

[37]  Olumide Owolabi,et al.  Decision support model for supplier selection in healthcare service delivery using analytical hierarchy process and artificial neural network , 2016 .

[38]  Mahsa Montajabiha,et al.  An Extended PROMETHE II Multi-Criteria Group Decision Making Technique Based on Intuitionistic Fuzzy Logic for Sustainable Energy Planning , 2016 .

[39]  Rameshwar Dubey,et al.  Supplier selection in blood bags manufacturing industry using TOPSIS model , 2015 .

[40]  Dragan Pamucar,et al.  The selection of transport and handling resources in logistics centers using Multi-Attributive Border Approximation area Comparison (MABAC) , 2015, Expert Syst. Appl..

[41]  Ronald R. Yager,et al.  Pythagorean Membership Grades, Complex Numbers, and Decision Making , 2013, Int. J. Intell. Syst..

[42]  Zeshui Xu,et al.  Distance and similarity measures for hesitant fuzzy sets , 2011, Inf. Sci..

[43]  Vicenç Torra,et al.  Hesitant fuzzy sets , 2010, Int. J. Intell. Syst..

[44]  Rajshekhar Sunderraman,et al.  Single Valued Neutrosophic Sets , 2010 .

[45]  Diyar Akay,et al.  A multi-criteria intuitionistic fuzzy group decision making for supplier selection with TOPSIS method , 2009, Expert Syst. Appl..

[46]  K. Tan,et al.  Supplier Selection and Assessment: Their Impact on Business Performance , 2002 .

[47]  D. Lambert,et al.  Supplier Selection Criteria in the Healthcare Industry: A Comparison of Importance and Performace , 1997 .

[48]  Lotfi A. Zadeh,et al.  Fuzzy Sets , 1996, Inf. Control..

[49]  Krassimir T. Atanassov,et al.  Intuitionistic fuzzy sets , 1986 .

[50]  D. Dubois,et al.  Operations on fuzzy numbers , 1978 .

[51]  B. Paradowski,et al.  Comparative analyses of multi-criteria methods in supplier selection problem , 2022, KES.

[52]  Tawiah Kwatekwei Quartey-Papafio,et al.  Evaluating Suppliers for Healthcare Centre using Ordinal Priority Approach , 2021, Management Science and Business Decisions.

[53]  Mohamed Elhoseny,et al.  A New Decision-Making Model based on Plithogenic Set for Supplier Selection , 2021, Computers, Materials & Continua.

[54]  Andrii Shekhovtsov,et al.  How strongly do rank similarity coefficients differ used in decision making problems? , 2021, KES.

[55]  Detcharat Sumrit,et al.  Supplier selection for vendor-managed inventory in healthcare using fuzzy multi-criteria decision-making approach , , 2020 .

[56]  Cengiz Kahraman,et al.  Spherical fuzzy sets and spherical fuzzy TOPSIS method , 2019, J. Intell. Fuzzy Syst..

[57]  F. Smarandache.  A Unifying Field in Logics: Neutrosophic Logic. , 1999 .