A consensus model for large-scale group decision making with hesitant fuzzy information and changeable clusters
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[1] C. Wagner,et al. Rational Consensus in Science and Society: A Philosophical and Mathematical Study , 1981 .
[2] Anil K. Jain,et al. Data clustering: a review , 1999, CSUR.
[3] L. Zadeh. Fuzzy sets as a basis for a theory of possibility , 1999 .
[4] Hung T. Nguyen,et al. Possibility Theory, Probability and Fuzzy Sets Misunderstandings, Bridges and Gaps , 2000 .
[5] Francisco Herrera,et al. Some issues on consistency of fuzzy preference relations , 2004, Eur. J. Oper. Res..
[6] Rui Xu,et al. Survey of clustering algorithms , 2005, IEEE Transactions on Neural Networks.
[7] Luis Martínez-López,et al. A Consensus Support System Model for Group Decision-Making Problems With Multigranular Linguistic Preference Relations , 2005, IEEE Transactions on Fuzzy Systems.
[8] Jin-Hsien Wang,et al. A new version of 2-tuple fuzzy linguistic representation model for computing with words , 2006, IEEE Trans. Fuzzy Syst..
[9] Wade D. Cook,et al. Distance-based and ad hoc consensus models in ordinal preference ranking , 2006, Eur. J. Oper. Res..
[10] Francisco Herrera,et al. A Consensus Model for Group Decision Making With Incomplete Fuzzy Preference Relations , 2007, IEEE Transactions on Fuzzy Systems.
[11] Robert Tibshirani,et al. The Elements of Statistical Learning: Data Mining, Inference, and Prediction, 2nd Edition , 2001, Springer Series in Statistics.
[12] Anil K. Jain. Data clustering: 50 years beyond K-means , 2010, Pattern Recognit. Lett..
[13] V. Torra,et al. A framework for linguistic logic programming , 2010 .
[14] Zeshui Xu,et al. Distance and similarity measures for hesitant fuzzy sets , 2011, Inf. Sci..
[15] Zhibin Wu,et al. A concise consensus support model for group decision making with reciprocal preference relations based on deviation measures , 2012, Fuzzy Sets Syst..
[16] Francisco Herrera,et al. Hesitant Fuzzy Linguistic Term Sets for Decision Making , 2012, IEEE Transactions on Fuzzy Systems.
[17] Zhibin Wu,et al. A maximizing consensus approach for alternative selection based on uncertain linguistic preference relations , 2013, Comput. Ind. Eng..
[18] Zeshui Xu,et al. Analytic hierarchy process-hesitant group decision making , 2014, Eur. J. Oper. Res..
[19] Francisco Herrera,et al. A Consensus Model to Detect and Manage Noncooperative Behaviors in Large-Scale Group Decision Making , 2014, IEEE Transactions on Fuzzy Systems.
[20] Francisco Herrera,et al. Hesitant Fuzzy Sets: State of the Art and Future Directions , 2014, Int. J. Intell. Syst..
[21] Zeshui Xu,et al. Consistency Measures for Hesitant Fuzzy Linguistic Preference Relations , 2014, IEEE Transactions on Fuzzy Systems.
[22] Núria Agell,et al. Using consensus and distances between generalized multi-attribute linguistic assessments for group decision-making , 2014, Inf. Fusion.
[23] Enrique Herrera-Viedma,et al. A New Consensus Model for Group Decision Making Problems With Non-Homogeneous Experts , 2014, IEEE Transactions on Systems, Man, and Cybernetics: Systems.
[24] Zeshui Xu,et al. Multiplicative Consistency of hesitant fuzzy Preference Relation and its Application in Group Decision Making , 2014, Int. J. Inf. Technol. Decis. Mak..
[25] Humberto Bustince,et al. Aggregation functions for typical hesitant fuzzy elements and the action of automorphisms , 2014, Inf. Sci..
[26] Yin-Feng Xu,et al. Consistency and consensus measures for linguistic preference relations based on distribution assessments , 2014, Inf. Fusion.
[27] Luis Martínez-López,et al. A Semisupervised Multiagent System Model to Support Consensus-Reaching Processes , 2014, IEEE Transactions on Fuzzy Systems.
[28] Didier Dubois,et al. The legacy of 50 years of fuzzy sets: A discussion , 2015, Fuzzy Sets Syst..
[29] Yinghua Shen,et al. A two-layer weight determination method for complex multi-attribute large-group decision-making experts in a linguistic environment , 2015, Inf. Fusion.
[30] Xiaohong Chen,et al. Consensus model for multi-criteria large-group emergency decision making considering non-cooperative behaviors and minority opinions , 2015, Decis. Support Syst..
[31] Luis Martínez-López,et al. Managing experts behavior in large-scale consensus reaching processes with uninorm aggregation operators , 2015, Appl. Soft Comput..
[32] Francisco Herrera,et al. Minimizing adjusted simple terms in the consensus reaching process with hesitant linguistic assessments in group decision making , 2015, Inf. Sci..
[33] Xiao-hong Chen,et al. A dynamical consensus method based on exit-delegation mechanism for large group emergency decision making , 2015, Knowl. Based Syst..
[34] Enrique Herrera-Viedma,et al. Fuzzy decision making and consensus: Challenges , 2015, J. Intell. Fuzzy Syst..
[35] Jeffrey Forrest,et al. Two consensus models based on the minimum cost and maximum return regarding either all individuals or one individual , 2015, Eur. J. Oper. Res..
[36] Zeshui Xu,et al. Consistency-based risk assessment with probabilistic linguistic preference relation , 2016, Appl. Soft Comput..
[37] Luis Martínez-López,et al. An Overview on Fuzzy Modelling of Complex Linguistic Preferences in Decision Making , 2016, Int. J. Comput. Intell. Syst..
[38] Kwai-Sang Chin,et al. A group decision making model considering both the additive consistency and group consensus of intuitionistic fuzzy preference relations , 2016, Comput. Ind. Eng..
[39] Yi Yang,et al. Proportional hesitant fuzzy linguistic term set for multiple criteria group decision making , 2016, Inf. Sci..
[40] B. Farhadinia,et al. Multiple criteria decision-making methods with completely unknown weights in hesitant fuzzy linguistic term setting , 2016, Knowl. Based Syst..
[41] Xiao Zhang,et al. A method for large group decision-making based on evaluation information provided by participators from multiple groups , 2016, Inf. Fusion.
[42] Luis Martínez-López,et al. AFRYCA 2.0: an improved analysis framework for consensus reaching processes , 2017, Progress in Artificial Intelligence.
[43] José Luis García-Lapresta,et al. Consensus-based clustering under hesitant qualitative assessments , 2016, Fuzzy Sets Syst..
[44] Didier Dubois,et al. Bridging gaps between several forms of granular computing , 2016, Granular Computing.
[45] Orrin Cooper,et al. A peer-to-peer dynamic adaptive consensus reaching model for the group AHP decision making , 2016, Eur. J. Oper. Res..
[46] Zhibin Wu,et al. Possibility Distribution-Based Approach for MAGDM With Hesitant Fuzzy Linguistic Information , 2016, IEEE Transactions on Cybernetics.
[47] Enrique Herrera-Viedma,et al. Integrating experts' weights generated dynamically into the consensus reaching process and its applications in managing non-cooperative behaviors , 2016, Decis. Support Syst..
[48] Francisco Herrera,et al. A Historical Account of Types of Fuzzy Sets and Their Relationships , 2016, IEEE Transactions on Fuzzy Systems.
[49] Yen-Liang Chen,et al. Identifying conflict patterns to reach a consensus - A novel group decision approach , 2016, Eur. J. Oper. Res..
[50] Jian Lin,et al. Ratio-based similarity analysis and consensus building for group decision making with interval reciprocal preference relations , 2016, Appl. Soft Comput..
[51] Zhibin Wu,et al. Managing consistency and consensus in group decision making with hesitant fuzzy linguistic preference relations , 2016 .
[52] Enrique Herrera-Viedma,et al. GDM-R: A new framework in R to support fuzzy group decision making processes , 2016, Inf. Sci..
[53] Shu-Ping Wan,et al. Mathematical programming methods for consistency and consensus in group decision making with intuitionistic fuzzy preference relations , 2016, Knowl. Based Syst..
[54] Zeshui Xu,et al. Probabilistic linguistic term sets in multi-attribute group decision making , 2016, Inf. Sci..
[55] Tim Wilkin,et al. Aggregation and consensus for preference relations based on fuzzy partial orders , 2017, Fuzzy Optim. Decis. Mak..
[56] Zeshui Xu,et al. Operations and integrations of probabilistic hesitant fuzzy information in decision making , 2017, Inf. Fusion.
[57] Zeshui Xu,et al. An interactive approach to probabilistic hesitant fuzzy multi-attribute group decision making with incomplete weight information , 2017, J. Intell. Fuzzy Syst..
[58] V. Huynh,et al. On qualitative multi-attribute group decision making and its consensus measure: A probability based perspective , 2017 .
[59] Zhen Zhang,et al. Managing Multigranular Linguistic Distribution Assessments in Large-Scale Multiattribute Group Decision Making , 2017, IEEE Transactions on Systems, Man, and Cybernetics: Systems.
[60] Zeshui Xu,et al. A Dynamic Reference Point Method for Emergency Response Under Hesitant Probabilistic Fuzzy Environment , 2017, Int. J. Fuzzy Syst..
[61] Zeshui Xu,et al. Consensus building with a group of decision makers under the hesitant probabilistic fuzzy environment , 2016, Fuzzy Optimization and Decision Making.
[62] Zhibin Wu,et al. Local feedback strategy for consensus building with probability-hesitant fuzzy preference relations , 2017, Appl. Soft Comput..
[63] Luis Martínez-López,et al. Analyzing the performance of classical consensus models in large scale group decision making: A comparative study , 2017, Appl. Soft Comput..