A consensus model for large-scale group decision making with hesitant fuzzy information and changeable clusters

[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..