Comprehensive evaluation of land reclamation schemes in mining areas based on linguistic intuitionistic fuzzy group decision-making

[1]  Liying Yu,et al.  A novel IVIF QFD considering both the correlations of customer requirements and the ranking uncertainty of technical attributes , 2022, Soft Computing.

[2]  M. K. Mehlawat,et al.  Selection of renewable energy sources: a novel VIKOR approach in an intuitionistic fuzzy linguistic environment , 2022, Environment, Development and Sustainability.

[3]  M. Kumar,et al.  An application of fault tree analysis for computing the bounds on system failure probability through qualitative data in intuitionistic fuzzy environment , 2022, Qual. Reliab. Eng. Int..

[4]  Meng Liu,et al.  Multi-attribute group decision-making considering opinion dynamics , 2021, Expert Syst. Appl..

[5]  Xuefeng Ding,et al.  A q-rung orthopair fuzzy non-cooperative game method for competitive strategy group decision-making problems based on a hybrid dynamic experts’ weight determining model , 2021, Complex & Intelligent Systems.

[6]  Fang Liu,et al.  Modification of the BWM and MABAC method for MAGDM based on q-rung orthopair fuzzy rough numbers , 2021, International Journal of Machine Learning and Cybernetics.

[7]  Fanyong Meng,et al.  Linguistic intuitionistic fuzzy PROMETHEE method based on similarity measure for the selection of sustainable building materials , 2021, Journal of Ambient Intelligence and Humanized Computing.

[8]  F. Battaglia-Brunet,et al.  Abandoned Mine Lands Reclamation by Plant Remediation Technologies , 2021 .

[9]  Jun Ye,et al.  Weighted aggregation operators of fuzzy credibility numbers and their decision-making approach for slope design schemes , 2021, Comput. Appl. Math..

[10]  Gang Kou,et al.  Multi-attribute group decision making with opinion dynamics based on social trust network , 2021, Inf. Fusion.

[11]  Feng Wang,et al.  Preference degree of triangular fuzzy numbers and its application to multi-attribute group decision making , 2021, Expert Syst. Appl..

[12]  Jianming Zhan,et al.  A three-way decision methodology to multi-attribute decision-making in multi-scale decision information systems , 2021, Inf. Sci..

[13]  Jianxin You,et al.  Evaluation of Online Teaching Quality: An Extended Linguistic MAGDM Framework Based on Risk Preferences and Unknown Weight Information , 2021, Symmetry.

[14]  Zeshui Xu,et al.  Consensus model based on probability K-means clustering algorithm for large scale group decision making , 2021, International Journal of Machine Learning and Cybernetics.

[15]  Ying-Ming Wang,et al.  An extended TODIM approach for group emergency decision making based on bidirectional projection with hesitant triangular fuzzy sets , 2020, Computers & Industrial Engineering.

[16]  Abhinav Tomar,et al.  A novel scheme for employee churn problem using multi-attribute decision making approach and machine learning , 2020, Journal of Intelligent Information Systems.

[17]  S. Abdullah,et al.  Multi-attribute group decision-making for online education live platform selection based on linguistic intuitionistic cubic fuzzy aggregation operators , 2020, Computational and Applied Mathematics.

[18]  Ying Wang,et al.  BWM and MULTIMOORA-based multigranulation sequential three-way decision model for multi-attribute group decision-making problem , 2020, Int. J. Approx. Reason..

[19]  Yucheng Dong,et al.  The classification-based consensus in multi-attribute group decision-making , 2020, J. Oper. Res. Soc..

[20]  Qiang Fu,et al.  Evidential model for intuitionistic fuzzy multi-attribute group decision making , 2020, Soft Comput..

[21]  X. Yu,et al.  Assessment of Land Reclamation Benefits in Mining Areas Using Fuzzy Comprehensive Evaluation , 2020, Sustainability.

[22]  Baoli Wang,et al.  Multi-attribute group decision-making method based on multi-granulation weights and three-way decisions , 2020, Int. J. Approx. Reason..

[23]  Surapati Pramanik,et al.  TODIM strategy for multi-attribute group decision making in trapezoidal neutrosophic number environment , 2019, Complex & Intelligent Systems.

[24]  Zhongke Bai,et al.  Effects of surface coal mining and land reclamation on soil properties: A review , 2019, Earth-Science Reviews.

[25]  Huchang Liao,et al.  An improved MULTIMOORA method with combined weights and its application in assessing the innovative ability of universities , 2019, Expert Syst. J. Knowl. Eng..

[26]  Fanyong Meng,et al.  Linguistic Intuitionistic Fuzzy Group Decision Making Based on Aggregation Operators , 2018, International Journal of Fuzzy Systems.

[27]  Weizhang Liang,et al.  Linguistic neutrosophic Hamacher aggregation operators and the application in evaluating land reclamation schemes for mines , 2018, PloS one.

[28]  Deng-Feng Li,et al.  A novel method for heterogeneous multi-attribute group decision making with preference deviation , 2018, Comput. Ind. Eng..

[29]  Pornwasin Sirisawat,et al.  Fuzzy AHP-TOPSIS approaches to prioritizing solutions for reverse logistics barriers , 2018, Comput. Ind. Eng..

[30]  Qiang Zhang,et al.  Preference Attitude-Based Method for Ranking Intuitionistic Fuzzy Numbers and Its Application in Renewable Energy Selection , 2018, Complex..

[31]  Fei Yang,et al.  Comprehensive evaluation of land reclamation and utilisation schemes based on a modified VIKOR method for surface mines , 2018 .

[32]  Zeshui Xu,et al.  Multi-attribute group decision-making under probabilistic uncertain linguistic environment , 2018, J. Oper. Res. Soc..

[33]  Kedong Yin,et al.  The Multi-Attribute Group Decision-Making Method Based on Interval Grey Trapezoid Fuzzy Linguistic Variables , 2017, International journal of environmental research and public health.

[34]  Jun Ye,et al.  Multiple Attribute Group Decision-Making Method Based on Linguistic Neutrosophic Numbers , 2017, Symmetry.

[35]  Zhenqi Hu,et al.  Improved methods for fuzzy comprehensive evaluation of the reclamation suitability of abandoned mine lands , 2017 .

[36]  Peide Liu,et al.  Power average operators of linguistic intuitionistic fuzzy numbers and their application to multiple-attribute decision making , 2017, J. Intell. Fuzzy Syst..

[37]  Robert LIN,et al.  NOTE ON FUZZY SETS , 2014 .

[38]  Xinping Xiao,et al.  A HYBRID MULTI-ATTRIBUTE GROUP DECISION MAKING METHOD BASED ON GREY LINGUISTIC 2-TUPLE , 2016 .

[39]  Ahmad Makui,et al.  A Hybrid Fuzzy-Intelligent System for Group Multi-Attribute Decision Making , 2016, Int. J. Fuzzy Syst..

[40]  Lucian C. Coroianu,et al.  Existence, uniqueness, calculus and properties of triangular approximations of fuzzy numbers under a general condition , 2015, Int. J. Approx. Reason..

[41]  Zheng Pei,et al.  An approach to multiple attribute group decision making based on linguistic intuitionistic fuzzy numbers , 2015, Int. J. Comput. Intell. Syst..

[42]  Jian Pan,et al.  The Research and Design of A Land Reclamation Supervisory Information System in A Mining Area , 2015 .

[43]  Qiang Zhang,et al.  Some uncertain generalized Shapley aggregation operators for multi-attribute group decision making , 2015, J. Intell. Fuzzy Syst..

[44]  Mahmut Yavuz,et al.  Reclamation project selection using fuzzy decision-making methods , 2015, Environmental Earth Sciences.

[45]  José M. Merigó,et al.  Induced 2-tuple linguistic generalized aggregation operators and their application in decision-making , 2013, Inf. Sci..

[46]  Zeshui Xu,et al.  Prioritized intuitionistic fuzzy aggregation operators , 2013, Inf. Fusion.

[47]  Ye Chun-ming.  An Approach to Multiple Attribute Group Decision Making Based on Pure Linguistic Hybrid Geometric Averaging Operator , 2012 .

[48]  Zeshui Xu,et al.  Intuitionistic Fuzzy Aggregation Operators , 2007, IEEE Transactions on Fuzzy Systems.

[49]  Bu Quan-min.  THE APPLICATION OF FAULT TREE ANALYSIS , 2007 .

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