A novel model for multi-criteria assessment based on BWM and possibilistic chance-constrained programming

[1]  Bernard Roy,et al.  Problems and methods with multiple objective functions , 1971, Math. Program..

[2]  Huchang Liao,et al.  Hospital performance evaluation by a hesitant fuzzy linguistic best worst method with inconsistency repairing , 2019, Journal of Cleaner Production.

[3]  Mohsen Shafiei Nikabadi,et al.  Hybrid robust, stochastic and possibilistic programming for closed-loop supply chain network design , 2018, Comput. Ind. Eng..

[4]  Raul Poler Escoto,et al.  Material Requirement Planning with fuzzy constraints and fuzzy coefficients , 2007, Fuzzy Sets Syst..

[5]  Shu-Cherng Fang,et al.  Fuzzy data envelopment analysis (DEA): a possibility approach , 2003, Fuzzy Sets Syst..

[6]  Maghsoud Amiri,et al.  Approximate Representation of Textual Documents in the Concept Space , 2020 .

[7]  Mohammad Mahdi Paydar,et al.  Applying a hybrid BWM-VIKOR approach to supplier selection: a case study in the Iranian agricultural implements industry , 2018, Int. J. Appl. Decis. Sci..

[8]  Richard Bellman,et al.  Decision-making in fuzzy environment , 2012 .

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

[10]  Jafar Rezaei,et al.  Measuring efficiency of university-industry Ph.D. projects using best worst method , 2016, Scientometrics.

[11]  Huayou Chen,et al.  An integrated approach to green supplier selection based on the interval type-2 fuzzy best-worst and extended VIKOR methods , 2019, Inf. Sci..

[12]  Mir Saman Pishvaee,et al.  A possibilistic programming approach for closed-loop supply chain network design under uncertainty , 2010, Fuzzy Sets Syst..

[13]  Jafar Rezaei,et al.  Bayesian best-worst method: A probabilistic group decision making model , 2020, Omega.

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

[15]  Piero P. Bonissone,et al.  A Linguistic Approach to Decisionmaking with Fuzzy Sets , 1980, IEEE Transactions on Systems, Man, and Cybernetics.

[16]  Bertrand Mareschal,et al.  Prométhée: a new family of outranking methods in multicriteria analysis , 1984 .

[17]  José L. Verdegay,et al.  Progress on Fuzzy Mathematical Programming: A personal perspective , 2015, Fuzzy Sets Syst..

[18]  Reza Tavakkoli-Moghaddam,et al.  A robust possibilistic programming approach to multi-period location-allocation of organ transplant centers under uncertainty , 2014, Comput. Ind. Eng..

[19]  Edmundas Kazimieras Zavadskas,et al.  State of art surveys of overviews on MCDM/MADM methods , 2014 .

[20]  Jiuping Xu,et al.  Approximation based fuzzy multi-objective models with expected objectives and chance constraints: Application to earth-rock work allocation , 2013, Inf. Sci..

[21]  José L. Verdegay,et al.  Linguistic decision‐making models , 1992, Int. J. Intell. Syst..

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

[23]  Edmundas Kazimieras Zavadskas,et al.  Assessment of third-party logistics provider using multi-criteria decision-making approach based on interval rough numbers , 2019, Comput. Ind. Eng..

[24]  Didier Dubois,et al.  Fuzzy scheduling: Modelling flexible constraints vs. coping with incomplete knowledge , 2003, Eur. J. Oper. Res..

[25]  Mir Saman Pishvaee,et al.  Environmental supply chain network design using multi-objective fuzzy mathematical programming , 2012 .

[26]  Jafar Rezaei,et al.  A multiplicative best-worst method for multi-criteria decision making , 2019, Oper. Res. Lett..

[27]  Francisco Herrera,et al.  A Fuzzy Linguistic Methodology to Deal With Unbalanced Linguistic Term Sets , 2008, IEEE Transactions on Fuzzy Systems.

[28]  Pankaj Gupta,et al.  Credibility-Based fuzzy Mathematical Programming Model for portfolio Selection under Uncertainty , 2014, Int. J. Inf. Technol. Decis. Mak..

[29]  Mohammad Ebrahim Banihabib,et al.  Fuzzy Hybrid MCDM Model for Ranking the Agricultural Water Demand Management Strategies in Arid Areas , 2016, Water Resources Management.

[30]  Chen-Tung Chen,et al.  Extensions of the TOPSIS for group decision-making under fuzzy environment , 2000, Fuzzy Sets Syst..

[31]  Galina Ilieva,et al.  Decision analysis with classic and fuzzy EDAS modifications , 2018, Computational and Applied Mathematics.

[32]  Jurgita Antucheviciene,et al.  Hierarchical Decision-making using a New Mathematical Model based on the Best-worst Method , 2019, Int. J. Comput. Commun. Control.

[33]  Mohsen Rostamy-Malkhalifeh,et al.  A novel fuzzy data envelopment analysis based on robust possibilistic programming: possibility, necessity and credibility-based approaches , 2018, RAIRO Oper. Res..

[34]  Himanshu Gupta,et al.  Assessing organizations performance on the basis of GHRM practices using BWM and Fuzzy TOPSIS. , 2018, Journal of environmental management.

[35]  Abraham Charnes,et al.  Measuring the efficiency of decision making units , 1978 .

[36]  Ibrahim Badi,et al.  Supplier Selection using Rough BWM-MAIRCA model: A case study in Pharmaceutical Supplying in Libya , 2018, Decision Making: Applications in Management and Engineering.

[37]  Zhang-peng Tian,et al.  Water security sustainability evaluation: Applying a multistage decision support framework in industrial region , 2018, Journal of Cleaner Production.

[38]  Juan-juan PENG,et al.  AN INTEGRATED MULTI-CRITERIA DECISION-MAKING FRAMEWORK FOR SUSTAINABLE SUPPLIER SELECTION UNDER PICTURE FUZZY ENVIRONMENT , 2020, Technological and Economic Development of Economy.

[39]  Francisco Herrera,et al.  Linguistic decision analysis: steps for solving decision problems under linguistic information , 2000, Fuzzy Sets Syst..

[40]  Zhi Xiao,et al.  The trapezoidal fuzzy soft set and its application in MCDM , 2012 .

[41]  Sebnem Yilmaz Balaman,et al.  Improved decisions for marketing, supply and purchasing: Mining big data through an integration of sentiment analysis and intuitionistic fuzzy multi criteria assessment , 2019, Comput. Ind. Eng..

[42]  Mohsen Sadeghi-Dastaki,et al.  A fully fuzzy best-worst multi attribute decision making method with triangular fuzzy number: A case study of maintenance assessment in the hospitals , 2020, Appl. Soft Comput..

[43]  Xiaoyu Ji,et al.  Logistics network design for product recovery in fuzzy environment , 2010, Eur. J. Oper. Res..

[44]  Esra Bas,et al.  The integrated framework for analysis of electricity supply chain using an integrated SWOT-fuzzy TOPSIS methodology combined with AHP: The case of Turkey , 2013 .

[45]  M. K. Luhandjula.  On possibilistic linear programming , 1986 .

[46]  Francisco Herrera,et al.  A 2-tuple fuzzy linguistic representation model for computing with words , 2000, IEEE Trans. Fuzzy Syst..

[47]  Enrique Herrera-Viedma,et al.  Modeling the retrieval process for an information retrieval system using an ordinal fuzzy linguistic approach , 2001, J. Assoc. Inf. Sci. Technol..

[48]  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..

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

[50]  Raul Poler Escoto,et al.  MRP with flexible constraints: A fuzzy mathematical programming approach , 2006, Fuzzy Sets Syst..

[51]  Jianqiang Wang,et al.  TOURISM ENVIRONMENTAL IMPACT ASSESSMENT BASED ON IMPROVED AHP AND PICTURE FUZZY PROMETHEE II METHODS , 2019 .

[52]  Mir Saman Pishvaee,et al.  Credibility-based fuzzy mathematical programming model for green logistics design under uncertainty , 2012, Comput. Ind. Eng..

[53]  Gülfem Tuzkaya,et al.  A two-phase possibilistic linear programming methodology for multi-objective supplier evaluation and order allocation problems , 2008, Inf. Sci..

[54]  Himanshu Gupta,et al.  Developing a roadmap to overcome barriers to energy efficiency in buildings using best worst method , 2017 .

[55]  T. Saaty.  How to Make a Decision: The Analytic Hierarchy Process , 1990 .

[56]  Ivan Petrovic,et al.  Modification of the Best-Worst and MABAC methods: A novel approach based on interval-valued fuzzy-rough numbers , 2018, Expert Syst. Appl..

[57]  K R MacCrimmon,et al.  Decisionmaking among Multiple-Attribute Alternatives: A Survey and Consolidated Approach , 1968 .

[58]  Zeshui Xu,et al.  An intuitionistic fuzzy multiplicative best-worst method for multi-criteria group decision making , 2016, Inf. Sci..

[59]  Huchang Liao,et al.  An integrated approach to multiple criteria decision making based on the average solution and normalized weights of criteria deduced by the hesitant fuzzy best worst method , 2019, Comput. Ind. Eng..

[60]  Morteza Rasti Barzoki,et al.  A group multi-criteria decision-making based on best-worst method , 2018, Comput. Ind. Eng..

[61]  Masahiro Inuiguchi,et al.  Possibilistic linear programming: a brief review of fuzzy mathematical programming and a comparison with stochastic programming in portfolio selection problem , 2000, Fuzzy Sets Syst..

[62]  Iman Mohamad Sharaf,et al.  TOPSIS with similarity measure for MADM applied to network selection , 2018 .

[63]  Abteen Ijadi Maghsoodi,et al.  Hybrid hierarchical fuzzy group decision-making based on information axioms and BWM: Prototype design selection , 2019, Comput. Ind. Eng..

[64]  M. Mousazadeh,et al.  Health service network design: a robust possibilistic approach , 2018, Int. Trans. Oper. Res..

[65]  L. A. ZADEH,et al.  The concept of a linguistic variable and its application to approximate reasoning - I , 1975, Inf. Sci..

[66]  Reza Tavakkoli-Moghaddam,et al.  Reliable design of a closed loop supply chain network under uncertainty: An interval fuzzy possibilistic chance-constrained model , 2013 .

[67]  Himanshu Gupta,et al.  Supplier selection among SMEs on the basis of their green innovation ability using BWM and fuzzy TOPSIS , 2017 .

[68]  Madjid Tavana,et al.  Fuzzy chance-constrained geometric programming: the possibility, necessity and credibility approaches , 2017, Oper. Res..

[69]  Mir Saman Pishvaee,et al.  Green and Reverse Logistics Management Under Fuzziness , 2014, Supply Chain Management Under Fuzziness.

[70]  Dragan Pamucar,et al.  A New Model for Determining Weight Coefficients of Criteria in MCDM Models: Full Consistency Method (FUCOM) , 2018, Symmetry.

[71]  Huiru Zhao,et al.  Operation Performance Evaluation of Power Grid Enterprise Using a Hybrid BWM-TOPSIS Method , 2017 .

[72]  J. Rezaei,et al.  A supplier selection life cycle approach integrating traditional and environmental criteria using the best worst method , 2016 .

[73]  Edmundas Kazimieras Zavadskas,et al.  Multi-Criteria Inventory Classification Using a New Method of Evaluation Based on Distance from Average Solution (EDAS) , 2015, Informatica.

[74]  Jafar Rezaei,et al.  A grey-based green supplier selection model for uncertain environments , 2019, Journal of Cleaner Production.

[75]  Jun Li,et al.  A class of possibilistic portfolio selection model with interval coefficients and its application , 2007, Fuzzy Optim. Decis. Mak..