Pythagorean fuzzy linguistic decision support model based on consistency-adjustment strategy and consensus reaching process

[1]  Zeshui Xu,et al.  A method based on linguistic aggregation operators for group decision making with linguistic preference relations , 2004, Inf. Sci..

[2]  L. A. ZADEH,et al.  The concept of a linguistic variable and its application to approximate reasoning - I , 1975, Inf. Sci..

[3]  Luis Martínez,et al.  A group decision method based on prospect theory for emergency situations , 2017, Inf. Sci..

[4]  Francisco Herrera,et al.  A Consensus Model for Group Decision Making With Incomplete Fuzzy Preference Relations , 2007, IEEE Transactions on Fuzzy Systems.

[5]  K. Atanassov.  More on intuitionistic fuzzy sets , 1989 .

[6]  Zhen Zhang,et al.  Managing Multigranular Unbalanced Hesitant Fuzzy Linguistic Information in Multiattribute Large-Scale Group Decision Making: A Linguistic Distribution-Based Approach , 2020, IEEE Transactions on Fuzzy Systems.

[7]  Enrique Herrera-Viedma,et al.  Soft consensus measures in group decision making using unbalanced fuzzy linguistic information , 2017, Soft Comput..

[8]  Yucheng Dong,et al.  On consistency measures of linguistic preference relations , 2008, Eur. J. Oper. Res..

[9]  Lotfi A. Zadeh,et al.  The concept of a linguistic variable and its application to approximate reasoning-III , 1975, Inf. Sci..

[10]  Zhen Zhang,et al.  Consensus reaching for social network group decision making by considering leadership and bounded confidence , 2020, Knowl. Based Syst..

[11]  Chengdong Li,et al.  Pythagorean uncertain linguistic variable Hamy mean operator and its application to multi-attribute group decision making , 2019, IEEE/CAA Journal of Automatica Sinica.

[12]  Zhibin Wu,et al.  A consistency and consensus based decision support model for group decision making with multiplicative preference relations , 2012, Decis. Support Syst..

[13]  Zeshui Xu,et al.  Extension of TOPSIS to Multiple Criteria Decision Making with Pythagorean Fuzzy Sets , 2014, Int. J. Intell. Syst..

[14]  Yong Yang,et al.  Fundamental Properties of Interval‐Valued Pythagorean Fuzzy Aggregation Operators , 2016, Int. J. Intell. Syst..

[15]  Zeshui Xu,et al.  Consistency Measures for Hesitant Fuzzy Linguistic Preference Relations , 2014, IEEE Transactions on Fuzzy Systems.

[16]  Ronald R. Yager,et al.  Pythagorean Membership Grades, Complex Numbers, and Decision Making , 2013, Int. J. Intell. Syst..

[17]  Lotfi A. Zadeh,et al.  The Concepts of a Linguistic Variable and its Application to Approximate Reasoning , 1975 .

[18]  Xinyue Kou,et al.  Consistency improvement for fuzzy preference relations with self-confidence: An application in two-sided matching decision making , 2020, J. Oper. Res. Soc..

[19]  Yang Zhou,et al.  A Novel Multiple Attribute Group Decision-Making Approach Based on Interval-Valued Pythagorean Fuzzy Linguistic Sets , 2020, IEEE Access.

[20]  MengChu Zhou,et al.  Fuzzy Grey Choquet Integral for Evaluation of Multicriteria Decision Making Problems With Interactive and Qualitative Indices , 2021, IEEE Transactions on Systems, Man, and Cybernetics: Systems.

[21]  Huimin Zhao,et al.  A Novel Gate Resource Allocation Method Using Improved PSO-Based QEA , 2020, IEEE Transactions on Intelligent Transportation Systems.

[22]  Francisco Herrera,et al.  Linguistic decision analysis: steps for solving decision problems under linguistic information , 2000, Fuzzy Sets Syst..

[23]  S. Meysam Mousavi,et al.  Resilient Supplier Selection Through Introducing a New Interval-Valued Intuitionistic Fuzzy Evaluation and Decision-Making Framework , 2019, Arabian Journal for Science and Engineering.

[24]  Zeshui Xu,et al.  Deriving a Ranking From Hesitant Fuzzy Preference Relations Under Group Decision Making , 2014, IEEE Transactions on Cybernetics.

[25]  Wu Deng,et al.  Differential evolution algorithm with wavelet basis function and optimal mutation strategy for complex optimization problem , 2020, Appl. Soft Comput..

[26]  V. Huynh,et al.  On qualitative multi-attribute group decision making and its consensus measure: A probability based perspective , 2017 .

[27]  Enrique Herrera-Viedma,et al.  On dynamic consensus processes in group decision making problems , 2018, Inf. Sci..

[28]  Erkan Celik,et al.  An interval type-2 fuzzy AHP and TOPSIS methods for decision-making problems in maritime transportation engineering: The case of ship loader , 2018 .

[29]  Huayou Chen,et al.  A decision support model for group decision making with intuitionistic fuzzy linguistic preferences relations , 2017, Neural Computing and Applications.

[30]  Jian Liu,et al.  Group decision making with 2-tuple intuitionistic fuzzy linguistic preference relations , 2012, Soft Comput..

[31]  Jing Xiao,et al.  Managing consensus and weights in iterative multiple-attribute group decision making , 2016, Appl. Soft Comput..

[32]  Yang Lin,et al.  Group Decision Making With Consistency of Intuitionistic Fuzzy Preference Relations Under Uncertainty , 2018, IEEE/CAA Journal of Automatica Sinica.

[33]  Guiwu Wei,et al.  Pythagorean hesitant fuzzy Hamacher aggregation operators and their application to multiple attribute decision making , 2018, Int. J. Intell. Syst..

[34]  Yong Yang,et al.  Pythagorean Fuzzy Choquet Integral Based MABAC Method for Multiple Attribute Group Decision Making , 2016, Int. J. Intell. Syst..

[35]  Jurgita Antucheviciene,et al.  A new multi-criteria model based on interval type-2 fuzzy sets and EDAS method for supplier evaluation and order allocation with environmental considerations , 2017, Comput. Ind. Eng..

[36]  Guiwu Wei,et al.  Pythagorean fuzzy interaction aggregation operators and their application to multiple attribute decision making , 2017, J. Intell. Fuzzy Syst..

[37]  Yong Yang,et al.  Some Results for Pythagorean Fuzzy Sets , 2015, Int. J. Intell. Syst..

[38]  Zeshui Xu.  Deviation measures of linguistic preference relations in group decision making , 2005 .

[39]  Zhen Zhang,et al.  Consensus reaching for MAGDM with multi-granular hesitant fuzzy linguistic term sets: a minimum adjustment-based approach , 2019, Annals of Operations Research.

[40]  Ronald R. Yager,et al.  Pythagorean Membership Grades in Multicriteria Decision Making , 2014, IEEE Transactions on Fuzzy Systems.