An interval valued neutrosophic decision-making structure for sustainable supplier selection
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Prasenjit Chatterjee | Morteza Yazdani | Željko Stević | Ali Ebadi Torkayesh | Sahand Asgharieh Ahari | Violeta Doval Hernandez | Prasenjit Chatterjee | M. Yazdani | Željko Stević
[1] Mohammad Izadikhah,et al. How to assess sustainability of suppliers in the presence of volume discount and negative data in data envelopment analysis? , 2018, Ann. Oper. Res..
[2] Mohammad Mahdi Paydar,et al. An integrated fuzzy MOORA method and FMEA technique for sustainable supplier selection considering quantity discounts and supplier's risk , 2018, Journal of Cleaner Production.
[3] Xiangyu Wang,et al. Integrated Supplier Selection Framework in a Resilient Construction Supply Chain: An Approach via Analytic Hierarchy Process (AHP) and Grey Relational Analysis (GRA) , 2017 .
[4] I. Chen,et al. Motives and Performance Outcomes of Sustainable Supply Chain Management Practices: A Multi-theoretical Perspective , 2017 .
[5] Ping-Feng Pai,et al. Sustainable supply chain management using approximate fuzzy DEMATEL method , 2018 .
[6] Jin Huang,et al. Identify and Assess Hydropower Project's Multidimensional Social Impacts with Rough Set and Projection Pursuit Model , 2020, Complex..
[7] 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..
[8] Edmundas Kazimieras Zavadskas,et al. Assessment of third-party logistics providers using a CRITIC–WASPAS approach with interval type-2 fuzzy sets , 2017 .
[9] Xiongyong Zhou,et al. An Integrated Sustainable Supplier Selection Approach Based on Hybrid Information Aggregation , 2018, Sustainability.
[10] Edmundas Kazimieras Zavadskas,et al. Multiple criteria analysis of foundation instalment alternatives by applying Additive Ratio Assessment (ARAS) method , 2010 .
[11] Amin Vafadarnikjoo,et al. Intuitionistic fuzzy based DEMATEL method for developing green practices and performances in a green supply chain , 2015, Expert Syst. Appl..
[12] Valeria Borodin,et al. Handling uncertainty in agricultural supply chain management: A state of the art , 2016, Eur. J. Oper. Res..
[13] F. Smarandache,et al. Basic neutrosophic algebraic structures and their application to fuzzy and neutrosophic models , 2004, math/0412424.
[14] Kevin Cullinane,et al. A comparison of fuzzy DEA and fuzzy TOPSIS in sustainable supplier selection: Implications for sourcing strategy , 2019, Expert Syst. Appl..
[15] Ignacio E. Grossmann,et al. Supplier selection in the processed food industry under uncertainty , 2016, Eur. J. Oper. Res..
[16] Young Hae Lee,et al. Group multi-criteria supplier selection using combined grey systems theory and uncertainty theory , 2015, Expert Syst. Appl..
[17] Mehdi Keshavarz Ghorabaee,et al. Evaluation of sustainable supply chain risk management using an integrated fuzzy TOPSIS- CRITIC approach , 2018 .
[18] Florentin Smarandache,et al. Bipolar neutrosophic sets and their application based on multi-criteria decision making problems , 2015, 2015 International Conference on Advanced Mechatronic Systems (ICAMechS).
[19] Madjid Tavana,et al. An application of an integrated ANP–QFD framework for sustainable supplier selection , 2017 .
[20] Hong-yu Zhang,et al. An outranking approach for multi-criteria decision-making problems with interval-valued neutrosophic sets , 2015, Neural Computing and Applications.
[21] 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..
[22] Naveen K. Chilamkurti,et al. A framework for risk assessment, management and evaluation: Economic tool for quantifying risks in supply chain , 2019, Future Gener. Comput. Syst..
[23] Shu-Ping Wan,et al. Supplier selection using ANP and ELECTRE II in interval 2-tuple linguistic environment , 2017, Inf. Sci..
[24] E. Zavadskas,et al. A combined compromise solution (CoCoSo) method for multi-criteria decision-making problems , 2019, Management Decision.
[25] Zeshui Xu,et al. A method based on linguistic aggregation operators for group decision making with linguistic preference relations , 2004, Inf. Sci..
[26] Modestus O Okwu,et al. Sustainable supplier selection in the retail industry: A TOPSIS- and ANFIS-based evaluating methodology , 2020 .
[27] Florentin Smarandache,et al. A Group Decision Making Framework Based on Neutrosophic TOPSIS Approach for Smart Medical Device Selection , 2019, Journal of Medical Systems.
[28] Romualdas Bausys,et al. Sustainable Assessment of Alternative Sites for the Construction of a Waste Incineration Plant by Applying WASPAS Method with Single-Valued Neutrosophic Set , 2015 .
[29] Keqin Li,et al. Time-aware trustworthiness ranking prediction for cloud services using interval neutrosophic set and ELECTRE , 2017, Knowl. Based Syst..
[30] Kannan Govindan,et al. A hybrid MCDM-FMOO approach for sustainable supplier selection and order allocation , 2019, International Journal of Production Economics.
[31] K. Govindan,et al. Multi-tier sustainable global supplier selection using a fuzzy AHP-VIKOR based approach , 2018 .
[32] Kannan Govindan,et al. Assessment of consumers' motivations to purchase a remanufactured product by applying Fuzzy Delphi method and single valued neutrosophic sets , 2018, Journal of Cleaner Production.
[33] Zhang-peng Tian,et al. Simplified Neutrosophic Linguistic Multi-criteria Group Decision-Making Approach to Green Product Development , 2017 .
[34] Cathal Heavey,et al. Sustainable supplier performance scoring using audition check-list based fuzzy inference system: A case application in automotive spare part industry , 2017, Comput. Ind. Eng..
[35] Hu-Chen Liu,et al. Developing sustainable supplier selection criteria for solar air-conditioner manufacturer: An integrated approach , 2017 .
[36] Hong-yu Zhang,et al. Interval Neutrosophic Sets and Their Application in Multicriteria Decision Making Problems , 2014, TheScientificWorldJournal.
[37] Md. Yusof B. Ismail,et al. A framework for weighting of criteria in ranking stage of material selection process , 2012 .
[38] Dragisa Stanujkic,et al. A Neutrosophic Extension of the MULTIMOORA Method , 2017, Informatica.
[39] E. Zavadskas,et al. Optimization of Weighted Aggregated Sum Product Assessment , 2012 .
[40] D. Dubois,et al. Systems of linear fuzzy constraints , 1980 .
[41] Florentin Smarandache,et al. An Extension of Neutrosophic AHP-SWOT Analysis for Strategic Planning and Decision-Making , 2018, Symmetry.
[42] J. Deng,et al. Introduction to Grey system theory , 1989 .
[43] Z. S. Xu,et al. Eowa And Eowg Operators For Aggregating Linguistic Labels Based On Linguistic Preference Relations , 2004, Int. J. Uncertain. Fuzziness Knowl. Based Syst..
[44] Chia-Chang Lin,et al. Binary VOCs absorption in a rotating packed bed with blade packings. , 2012, Journal of environmental management.
[45] S. Ali Torabi,et al. Strategic supplier selection under sustainability and risk criteria , 2019, International Journal of Production Economics.
[46] Hong-yu Zhang,et al. outranking approach for multi-criteria decision-making problems ith simplified neutrosophic sets uan - , 2014 .
[47] Mohammad Reza Akbari Jokar,et al. Sustainable supplier selection: A multi-criteria intuitionistic fuzzy TOPSIS method , 2019, Journal of Manufacturing Systems.
[48] Shahram Ariafar,et al. Selecting sustainable supplier countries for Iran's steel industry at three levels by using AHP and TOPSIS methods , 2018, Resources Policy.
[49] N. Malys,et al. Comparative analysis of MCDM methods for the assessment of sustainable housing affordability , 2016 .
[50] Hong-yu Zhang,et al. Selecting an outsourcing provider based on the combined MABAC-ELECTRE method using single-valued neutrosophic linguistic sets , 2018, Comput. Ind. Eng..
[51] 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..
[52] Siba Sankar Mahapatra,et al. Sustainable supplier selection in intuitionistic fuzzy environment: a decision-making perspective , 2018 .
[53] L. Suganthi,et al. Multi expert and multi criteria evaluation of sectoral investments for sustainable development: An integrated fuzzy AHP, VIKOR / DEA methodology , 2018, Sustainable Cities and Society.
[54] Lotfi A. Zadeh,et al. The concept of a linguistic variable and its application to approximate reasoning-III , 1975, Inf. Sci..
[55] Felix T. S. Chan,et al. A fuzzy AHP and fuzzy multi-objective linear programming model for order allocation in a sustainable supply chain: A case study , 2017, Int. J. Comput. Integr. Manuf..
[56] 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..
[57] Naveen K. Chilamkurti,et al. Three-way decisions based on neutrosophic sets and AHP-QFD framework for supplier selection problem , 2018, Future Gener. Comput. Syst..
[58] Huai-Wei Lo,et al. An integrated model for solving problems in green supplier selection and order allocation , 2018, Journal of Cleaner Production.
[59] Massimiliano M. Schiraldi,et al. A logistics provider evaluation and selection methodology based on AHP, DEA and linear programming integration , 2011 .
[60] Jun Ye,et al. A multicriteria decision-making method using aggregation operators for simplified neutrosophic sets , 2014, J. Intell. Fuzzy Syst..
[61] Francisco Gallego Lupiáñez,et al. Interval neutrosophic sets and topology , 2008, Kybernetes.
[62] Deng Ju-Long,et al. Control problems of grey systems , 1982 .
[63] Madjid Tavana,et al. An aggregation method for solving group multi-criteria decision-making problems with single-valued neutrosophic sets , 2018, Appl. Soft Comput..
[64] Krassimir T. Atanassov,et al. Intuitionistic fuzzy sets , 1986 .
[65] Kai Wang,et al. A group decision making sustainable supplier selection approach using extended TOPSIS under interval-valued Pythagorean fuzzy environment , 2019, Expert Syst. Appl..
[66] Narges Banaeian,et al. Green supplier selection using fuzzy group decision making methods: A case study from the agri-food industry , 2018, Comput. Oper. Res..
[67] Mohamed Abdel-Basset,et al. A hybrid approach of neutrosophic sets and DEMATEL method for developing supplier selection criteria , 2018, Des. Autom. Embed. Syst..
[68] Reza Farzipoor Saen,et al. Using data envelopment analysis for estimating energy saving and undesirable output abatement: a case study in the Organization for Economic Co-Operation and Development (OECD) countries , 2015 .
[69] A. Haleem,et al. Critical success factors of green supply chain management for achieving sustainability in Indian automobile industry , 2014 .
[70] Naveen K. Jain,et al. Sustainable supplier selection under attractive criteria through FIS and integrated fuzzy MCDM techniques , 2020 .
[71] Xinwang Liu,et al. An interval type-2 fuzzy sets-based TODIM method and its application to green supplier selection , 2016, J. Oper. Res. Soc..
[72] G. Mavrotas,et al. Determining objective weights in multiple criteria problems: The critic method , 1995, Comput. Oper. Res..
[73] Victor I. Chang,et al. An integrated neutrosophic ANP and VIKOR method for achieving sustainable supplier selection: A case study in importing field , 2019, Comput. Ind..
[74] Cengiz Kahraman,et al. A novel interval-valued neutrosophic AHP with cosine similarity measure , 2018, Soft Computing.
[75] Ching-Jong Liao,et al. Multi-attribute approach to sustainable supply chain management under uncertainty , 2016, Ind. Manag. Data Syst..
[76] Huayou Chen,et al. Some new Hamacher aggregation operators under single-valued neutrosophic 2-tuple linguistic environment and their applications to multi-attribute group decision making , 2018, Comput. Ind. Eng..
[77] Yi Peng,et al. Evaluation of clustering algorithms for financial risk analysis using MCDM methods , 2014, Inf. Sci..
[78] Peide Liu,et al. Correlation coefficient of single-valued neutrosophic hesitant fuzzy sets and its applications in decision making , 2017, Neural Computing and Applications.
[79] Mustafa Jahangoshai Rezaee,et al. Evaluation and selection of sustainable suppliers in supply chain using new GP-DEA model with imprecise data , 2018 .
[80] Cathal Heavey,et al. A multi-agent systems approach for sustainable supplier selection and order allocation in a partnership supply chain , 2017, Eur. J. Oper. Res..
[81] Cristina Gimenez,et al. Sustainable supplier development practices: Drivers and enablers in a global context , 2015 .
[82] Mohamed Abdel-Basset,et al. A Hybrid Neutrosophic Group ANP-TOPSIS Framework for Supplier Selection Problems , 2018, Symmetry.
[83] Peide Liu,et al. Multiple attribute decision-making method based on single-valued neutrosophic normalized weighted Bonferroni mean , 2014, Neural Computing and Applications.
[84] Reza Farzipoor Saen,et al. A new fuzzy DEA model for evaluation of efficiency and effectiveness of suppliers in sustainable supply chain management context , 2015, Comput. Oper. Res..
[85] R. K. Pati,et al. Evolution of sustainability in supply chain management: A literature review , 2017 .
[86] Cengiz Kahraman,et al. Selection of the Most Appropriate Renewable Energy Alternatives by Using a Novel Interval-Valued Neutrosophic ELECTRE I Method , 2020, Informatica.
[87] Kevin Cullinane,et al. Applying the triple bottom line in sustainable supplier selection: A meta-review of the state-of-the-art , 2020 .
[88] C. Öztürk,et al. Assessing the social sustainable supply chain indicators using an integrated fuzzy multi-criteria decision-making methods: a case study of Turkey , 2020, Environment, Development and Sustainability.
[89] Prasenjit Chatterjee,et al. A NOVEL HYBRID METHOD FOR NON-TRADITIONAL MACHINING PROCESS SELECTION USING FACTOR RELATIONSHIP AND MULTI-ATTRIBUTIVE BORDER APPROXIMATION METHOD , 2017 .
[90] K. Govindan,et al. Analysis of third party reverse logistics provider using interpretive structural modeling , 2012 .
[91] Yan Liu,et al. A fuzzy decision tool to evaluate the sustainable performance of suppliers in an agrifood value chain , 2019, Comput. Ind. Eng..