Sustainable Cloud Service Provider Development by a Z-Number-Based DNMA Method with Gini-Coefficient-Based Weight Determination
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Huchang Liao | Abdullah Al-Barakati | Fernando Ferreira | Audrius Banaitis | Jonas Šaparauskas | Han Lai | F. Ferreira | Huchang Liao | A. Banaitis | Jonas Šaparauskas | A. Al-Barakati | Han Lai
[1] Lei Chen,et al. Gini coefficient-based evidential reasoning approach with unknown evidence weights , 2018, Comput. Ind. Eng..
[2] G. H. Brundtland. World Commission on environment and development , 1985 .
[3] Alexander Gegov,et al. Interactive TOPSIS Based Group Decision Making Methodology Using Z-Numbers , 2016, Int. J. Comput. Intell. Syst..
[4] V. S. Shankar Sriram,et al. An improved rough set approach for optimal trust measure parameter selection in cloud environments , 2019, Soft Comput..
[5] K. S. Ravichandran,et al. A Scientific Decision Framework for Cloud Vendor Prioritization under Probabilistic Linguistic Term Set Context with Unknown/Partial Weight Information , 2019, Symmetry.
[6] Huchang Liao,et al. Green-Building-Material Supplier Selection with a Rough-Set-Enhanced Quality Function Deployment , 2019, Sustainability.
[7] Boyoung Kim,et al. A Decision-Making Model for Adopting a Cloud Computing System , 2018, Sustainability.
[8] V. S. Shankar Sriram,et al. IIVIFS-WASPAS: An integrated Multi-Criteria Decision-Making perspective for cloud service provider selection , 2020, Future Gener. Comput. Syst..
[9] Jalil Heidary Dahooie,et al. Choosing the Appropriate System for Cloud Computing Implementation by Using the Interval-Valued Intuitionistic Fuzzy CODAS Multiattribute Decision-Making Method (Case Study: Faculty of New Sciences and Technologies of Tehran University) , 2020, IEEE Transactions on Engineering Management.
[10] Lotfi A. Zadeh,et al. A Note on Z-numbers , 2011, Inf. Sci..
[11] Chiranjeev Kumar,et al. Prioritizing the solution of cloud service selection using integrated MCDM methods under Fuzzy environment , 2017, The Journal of Supercomputing.
[12] Ali Azadeh,et al. Z-number DEA: A new possibilistic DEA in the context of Z-numbers , 2016, Adv. Eng. Informatics.
[13] Abid Hussain,et al. A novel framework towards viable Cloud Service Selection as a Service (CSSaaS) under a fuzzy environment , 2020, Future Gener. Comput. Syst..
[14] Jianqiang Wang,et al. Cloud-based ERP system selection based on extended probabilistic linguistic MULTIMOORA method and Choquet integral operator , 2019, Computational and Applied Mathematics.
[15] Cengiz Kahraman,et al. CODAS method using Z-fuzzy numbers , 2020, J. Intell. Fuzzy Syst..
[16] Yang Cheng,et al. Cloud manufacturing service composition and optimal selection with sustainability considerations: a multi-objective integer bi-level multi-follower programming approach , 2020, Int. J. Prod. Res..
[17] Samuel Yousefi,et al. An extended FMEA approach based on the Z-MOORA and fuzzy BWM for prioritization of failures , 2019, Appl. Soft Comput..
[18] Mohammad Jafar Tarokh,et al. A fuzzy VIKOR method for supplier selection based on entropy measure for objective weighting , 2011, Expert Syst. Appl..
[19] Elizabeth Chang,et al. ZBWM: The Z-number extension of Best Worst Method and its application for supplier development , 2018, Expert Syst. Appl..
[20] I. Eliazar,et al. Maximization of statistical heterogeneity: From Shannon’s entropy to Gini’s index , 2010 .
[21] Hamzeh Mohammad Alabool,et al. Cloud service evaluation method-based Multi-Criteria Decision-Making: A systematic literature review , 2018, J. Syst. Softw..
[22] Reihaneh Khorsand,et al. An adaptive scheduling approach based on integrated best-worst and VIKOR for cloud computing , 2020, Comput. Ind. Eng..
[23] K. S. Ravichandran,et al. Solving cloud vendor selection problem using intuitionistic fuzzy decision framework , 2018, Neural Computing and Applications.
[24] E. Stanley Lee,et al. An extension of TOPSIS for group decision making , 2007, Math. Comput. Model..
[25] Jianqiang Wang,et al. Multi-criteria PROMETHEE method based on possibility degree with Z-numbers under uncertain linguistic environment , 2020, J. Ambient Intell. Humaniz. Comput..
[26] Jian-qiang Wang,et al. Z-VIKOR Method Based on a New Comprehensive Weighted Distance Measure of Z-Number and Its Application , 2018, IEEE Transactions on Fuzzy Systems.
[27] Ming Tang,et al. HESITANT FUZZY LINGUISTIC DNMA METHOD WITH CARDINAL CONSENSUS REACHING PROCESS FOR SHOPPING MALL LOCATION SELECTION , 2019, International Journal of Strategic Property Management.
[28] Keqin Li,et al. Time-aware trustworthiness ranking prediction for cloud services using interval neutrosophic set and ELECTRE , 2017, Knowl. Based Syst..
[29] Sarbjeet Singh,et al. Design and Comparative Analysis of MCDM-based Multi-dimensional Trust Evaluation Schemes for Determining Trustworthiness of Cloud Service Providers , 2017, Journal of Grid Computing.
[30] Francisco Herrera,et al. Hesitant Fuzzy Linguistic Term Set and Its Application in Decision Making: A State-of-the-Art Survey , 2017, International Journal of Fuzzy Systems.
[31] Jiří Jaromír Klemeš,et al. Sustainable enterprise resource planning: imperatives and research directions , 2014 .
[32] Eun-Sung Chung,et al. Fuzzy VIKOR approach for assessing the vulnerability of the water supply to climate change and variability in South Korea , 2013 .
[33] Huchang Liao,et al. DNMA: A double normalization-based multiple aggregation method for multi-expert multi-criteria decision making , 2020, Omega.
[34] André G. C. Pacheco,et al. TODIM and TOPSIS with Z-numbers , 2019, Frontiers of Information Technology & Electronic Engineering.
[35] Rajkumar Buyya,et al. A Taxonomy and Future Directions for Sustainable Cloud Computing , 2017, ACM Comput. Surv..
[36] Victor I. Chang,et al. Organisational sustainability modelling - An emerging service and analytics model for evaluating Cloud Computing adoption with two case studies , 2016, Int. J. Inf. Manag..
[37] Mona Jami Pour,et al. A comprehensive framework to rank cloud-based e-learning providers using best-worst method (BWM) , 2019, Online Inf. Rev..
[38] Huchang Liao,et al. The state-of-the-art survey on integrations and applications of the best worst method in decision making: Why, what, what for and what's next? , 2019, Omega.
[39] Sarbjeet Singh,et al. Compliance-based Multi-dimensional Trust Evaluation System for determining trustworthiness of Cloud Service Providers , 2017, Future Gener. Comput. Syst..
[40] Huchang Liao,et al. Early lung cancer screening using double normalization-based multi-aggregation (DNMA) and Delphi methods with hesitant fuzzy information , 2019, Comput. Ind. Eng..