How, When, & Where temporary hospitals fit in turbulent times: A hybrid MADM optimization in the middle east

[1]  Reza Lotfi,et al.  An extended robust mathematical model to project the course of COVID-19 epidemic in Iran , 2022, Annals of operations research.

[2]  Majid Ahmadi,et al.  A robust multiobjective integrated master surgery schedule and surgical case assignment model at a publicly funded hospital , 2021, Comput. Ind. Eng..

[3]  Chang Xu,et al.  Can health poverty alleviation project reduce the economic vulnerability of poor households? Evidence from Chifeng City, China , 2021, Comput. Ind. Eng..

[4]  Yaodong Ni,et al.  A multi-objective consistent home healthcare routing and scheduling problem in an uncertain environment , 2021, Comput. Ind. Eng..

[5]  Amir Hajjam El Hassani,et al.  Solving a multi-period home health care routing and scheduling problem using an efficient matheuristic , 2021, Comput. Ind. Eng..

[6]  Ching-Fang Liaw,et al.  Sustainable supplier evaluation and transportation planning in multi-level supply chain networks using multi-attribute- and multi-objective decision making , 2021, Comput. Ind. Eng..

[7]  Arash Khalili Nasr,et al.  Medical waste management during coronavirus disease 2019 (COVID-19) outbreak: A mathematical programming model , 2021, Computers & Industrial Engineering.

[8]  G. Reniers,et al.  COVID-19 outbreak: A data-driven optimization model for allocation of patients , 2021, Computers & Industrial Engineering.

[9]  Octavio Escobar,et al.  Business to business (B2B) alliances in the healthcare industry: a review of research trends and pertinent issues , 2021, Journal of Business & Industrial Marketing.

[10]  J. Moosavi,et al.  Simulation-based assessment of supply chain resilience with consideration of recovery strategies in the COVID-19 pandemic context , 2021, Computers & Industrial Engineering.

[11]  Zeshui Xu,et al.  A novel multi-attribute decision-making method based on fuzzy rough sets , 2021, Comput. Ind. Eng..

[12]  P. Wanke,et al.  Critical Success Factors for Competitive Advantage in Iranian Pharmaceutical Companies: A Comprehensive MCDM Approach , 2021 .

[13]  Benjamin Lev,et al.  Diagnosing social failures in sustainable supply chains using a modified Pythagorean fuzzy distance to ideal solution , 2021, Comput. Ind. Eng..

[14]  Shafi Ahmad,et al.  A HYBRID MULTI-CRITERIA DECISION MAKING METHOD FOR ROBOT SELECTION IN FLEXIBLE MANUFACTURING SYSTEM , 2020 .

[15]  James J. H. Liou,et al.  A group decision-making approach for exploring trends in the development of the healthcare industry in Taiwan , 2020, Decis. Support Syst..

[16]  W. Waits,et al.  Planning for Mental Health Needs During COVID-19 , 2020, Current Psychiatry Reports.

[17]  Sebastian Wagner,et al.  Prescriptive analytics in public-sector decision-making: A framework and insights from charging infrastructure planning , 2020, European Journal of Operational Research.

[18]  Ting-Yu Chen,et al.  Multiple criteria group decision analysis using a Pythagorean fuzzy programming model for multidimensional analysis of preference based on novel distance measures , 2020, Comput. Ind. Eng..

[19]  A. Samadi,et al.  The cross-impact between financial markets, Covid-19 pandemic, and economic sanctions: The case of Iran , 2020, Journal of Policy Modeling.

[20]  Decui Liang,et al.  An integrated approach towards modeling ranked weights , 2020, Comput. Ind. Eng..

[21]  Morteza Yazdani,et al.  Application of a Gray-Based Decision Support Framework for Location Selection of a Temporary Hospital during COVID-19 Pandemic , 2020, Symmetry.

[22]  Amir Karbassi Yazdi,et al.  Critical success factors for sustainable entrepreneurship in Pakistani Telecommunications industry: a hybrid grey systems theory/ best-worst method approach , 2020, Management Decision.

[23]  Syed Sharfuddin.  The world after Covid-19 , 2020, The Round Table.

[24]  P. Jeurissen,et al.  COVID-19: A Window of Opportunity for Positive Healthcare Reforms , 2020, International journal of health policy and management.

[25]  C. Wang,et al.  Clinical characteristics of COVID-19-infected cancer patients: a retrospective case study in three hospitals within Wuhan, China , 2020, Annals of Oncology.

[26]  M. Abdi.  Coronavirus disease 2019 (COVID-19) outbreak in Iran: Actions and problems , 2020, Infection Control & Hospital Epidemiology.

[27]  Amirhossein Takian,et al.  COVID-19 battle during the toughest sanctions against Iran , 2020, The Lancet.

[28]  Amir Karbassi Yazdi,et al.  Oil project selection in Iran: A hybrid MADM approach in an uncertain environment , 2020, Appl. Soft Comput..

[29]  Yanling Wu,et al.  Innovative design approach for product design based on TRIZ, AD, fuzzy and Grey relational analysis , 2020, Comput. Ind. Eng..

[30]  Esra Aytaç Adalı,et al.  Hospital site selection with distance-based multi-criteria decision-making methods , 2019, International Journal of Healthcare Management.

[31]  Pınar Miç,et al.  A Healthcare Facility Location Selection Problem with Fuzzy TOPSIS Method for a Regional Hospital , 2019 .

[32]  Cengiz Kahraman,et al.  Hospital Location Selection Using Spherical Fuzzy TOPSIS , 2019, EUSFLAT Conf..

[33]  Liguo Fei,et al.  Multi-criteria decision making in Pythagorean fuzzy environment , 2019, Applied Intelligence.

[34]  Ali Ardalan,et al.  Iran in transition , 2019, The Lancet.

[35]  Mehmet Top,et al.  Analytic hierarchy process for hospital site selection , 2019, Health Policy and Technology.

[36]  Thomas Hanne,et al.  Finding the Best Third-Party Logistics in the Automobile Industry: A Hybrid Approach , 2018, Mathematical Problems in Engineering.

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

[38]  Chandra Prakash Garg,et al.  Sustainable outsourcing partner selection and evaluation using an integrated BWM–VIKOR framework , 2018, Environment, Development and Sustainability.

[39]  Yakup Çelikbilek.  Bulanık Ortamda VIKOR Kullanarak Hastane Yeri Seçimi için Grup Karar Verme , 2018, İstanbul Gelişim Üniversitesi Sağlık Bilimleri Dergisi.

[40]  Halil Sen,et al.  HOSPITAL LOCATION SELECTION WITH ARAS-G , 2017 .

[41]  J. Rezaei,et al.  Assessing the social sustainability of supply chains using Best Worst Method , 2017 .

[42]  Ankur Chauhan,et al.  A hybrid multi-criteria decision making method approach for selecting a sustainable location of healthcare waste disposal facility , 2016 .

[43]  J. Rezaei.  Best-worst multi-criteria decision-making method: Some properties and a linear model , 2016 .

[44]  Shane R. Brady.  Utilizing and Adapting the Delphi Method for Use in Qualitative Research , 2015 .

[45]  Yong Yang,et al.  Some Results for Pythagorean Fuzzy Sets , 2015, Int. J. Intell. Syst..

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

[47]  Ronald R. Yager,et al.  Pythagorean fuzzy subsets , 2013, 2013 Joint IFSA World Congress and NAFIPS Annual Meeting (IFSA/NAFIPS).

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

[49]  Taho Yang,et al.  The use of grey relational analysis in solving multiple attribute decision-making problems , 2008, Comput. Ind. Eng..

[50]  J. Crisp,et al.  The Delphi method? , 1997, Nursing research.

[51]  J. Deng,et al.  Introduction to Grey system theory , 1989 .

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

[53]  Taha Hossein Hejazi,et al.  State-dependent resource reallocation plan for health care systems: A simulation optimization approach , 2021, Comput. Ind. Eng..

[54]  G. Can,et al.  Six Sigma Project Prioritization and Selection Using AHP–CODAS Integration: A Case Study in Healthcare Industry , 2021, IEEE Transactions on Engineering Management.

[55]  Abdelkader Daghfous,et al.  Sustainability-oriented innovation in the health care supply chain , 2021, Comput. Ind. Eng..

[56]  H. Carvalho,et al.  Conceptualising a supply and demand resilience methodology: A hybrid DEMATEL-TOPSIS-possibilistic multi-objective optimization approach , 2021, Comput. Ind. Eng..

[57]  M. Smyth,et al.  Pediatric neurosurgery along with children’s hospitals’ innovations are rapid and uniform in response to the COVID-19 pandemic , 2020 .

[58]  Nicolas Haber,et al.  A practical ANP-QFD methodology for dealing with requirements' inner dependency in PSS development , 2019, Comput. Ind. Eng..

[59]  Cengiz Kahraman,et al.  A novel hesitant fuzzy EDAS method and its application to hospital selection , 2018, J. Intell. Fuzzy Syst..

[60]  Aseel B. Kmail,et al.  Coupling GIS-based MCA and AHP techniques for Hospital Site Selection , 2017 .

[61]  Thomas Hanne,et al.  Computational Intelligence in Logistics and Supply Chain Management , 2017 .

[62]  Mahsa Khaksefidi,et al.  Hospital Location in the Southern Fars Province by Using Multi Criteria Decision Making Techniques , 2016 .

[63]  Eda Boltürk,et al.  Hospital Site Selection via Hesitant Fuzzy TOPSIS , 2016 .

[64]  Jurgita Antucheviciene,et al.  A New Method of Assessment Based on Fuzzy Ranking and Aggregated Weights (AFRAW) for MCDM Problems Under Type-2 Fuzzy Environment , 2016 .

[65]  José Carlos Rodriguez Alcantud,et al.  Some formal relationships among soft sets, fuzzy sets, and their extensions , 2016, Int. J. Approx. Reason..

[66]  Ronald R. Yager,et al.  Properties and Applications of Pythagorean Fuzzy Sets , 2016, Imprecision and Uncertainty in Information Representation and Processing.

[67]  Andreea Stoian,et al.  ECONOMIC COMPUTATION AND ECONOMIC CYBERNETICS STUDIES AND RESEARCH , 2009 .

[68]  C. Duffield.  The Delphi technique. , 1988, The Australian journal of advanced nursing : a quarterly publication of the Royal Australian Nursing Federation.