Interval-valued probabilistic hesitant fuzzy set-based framework for group decision-making with unknown weight information

[1]  Ji-Huan He Variational Principle for the Generalized KdV-Burgers Equation with Fractal Derivatives for Shallow Water Waves , 2020 .

[2]  Ji-Huan He,et al.  A FRACTAL VARIATIONAL THEORY FOR ONE-DIMENSIONAL COMPRESSIBLE FLOW IN A MICROGRAVITY SPACE , 2020 .

[3]  K. S. Ravichandran,et al.  Multi-attribute group decision-making using double hierarchy hesitant fuzzy linguistic preference information , 2020, Neural Computing and Applications.

[4]  Ji-Huan He,et al.  Generalized variational principles for buckling analysis of circular cylinders , 2019, Acta Mechanica.

[5]  Ji-Huan He,et al.  A variational principle for a thin film equation , 2019, Journal of Mathematical Chemistry.

[6]  Özgür Kabak,et al.  Deriving decision makers' weights in group decision making: An overview of objective methods , 2019, Inf. Fusion.

[7]  Edmundas Kazimieras Zavadskas,et al.  An extended COPRAS model for multi-criteria decision-making problems and its application in web-based hotel evaluation and selection , 2019, Economic Research-Ekonomska Istraživanja.

[8]  K. S. Ravichandran,et al.  Interval-valued probabilistic hesitant fuzzy set for multi-criteria group decision-making , 2018, Soft Computing.

[9]  Zeshui Xu,et al.  Interval‐valued probabilistic hesitant fuzzy set and its application in the Arctic geopolitical risk evaluation , 2018, Int. J. Intell. Syst..

[10]  S. Narayanamoorthy,et al.  Variational iterative method: an appropriate numerical scheme for solving system of linear Volterra fuzzy integro-differential equations , 2018, Advances in Difference Equations.

[11]  Zeshui Xu,et al.  Severity assessment of chronic obstructive pulmonary disease based on hesitant fuzzy linguistic COPRAS method , 2018, Appl. Soft Comput..

[12]  K. S. Ravichandran,et al.  A scientific decision-making framework for supplier outsourcing using hesitant fuzzy information , 2018, Soft Computing.

[13]  Kumru Didem Atalay,et al.  A New Stochastic MCDM Approach Based on COPRAS , 2018, Int. J. Inf. Technol. Decis. Mak..

[14]  Qinggong Ma,et al.  Multi-attribute group decision making under probabilistic hesitant fuzzy environment with application to evaluate the transformation efficiency , 2018, Applied Intelligence.

[15]  Askoldas Podviezko,et al.  Choice of abandoned territories conversion scenario according to MCDA methods , 2018 .

[16]  Jian Li,et al.  Multi-attribute decision making based on prioritized operators under probabilistic hesitant fuzzy environments , 2018, Soft Computing.

[17]  Joanna Ejdys,et al.  Determining the utility in management by using multi-criteria decision support tools: a review , 2018 .

[18]  Zeshui Xu,et al.  Consensus building with a group of decision makers under the hesitant probabilistic fuzzy environment , 2016, Fuzzy Optimization and Decision Making.

[19]  Zeshui Xu,et al.  Group consistency and group decision making under uncertain probabilistic hesitant fuzzy preference environment , 2017, Inf. Sci..

[20]  Zeshui Xu,et al.  Probabilistic dual hesitant fuzzy set and its application in risk evaluation , 2017, Knowl. Based Syst..

[21]  Norhazilan Md Noor,et al.  Hybrid SWARA-COPRAS method for risk assessment in deep foundation excavation project: an Iranian case study , 2017 .

[22]  Zeshui Xu,et al.  A Dynamic Reference Point Method for Emergency Response Under Hesitant Probabilistic Fuzzy Environment , 2017, Int. J. Fuzzy Syst..

[23]  Hu-Chen Liu,et al.  Evaluating the risk of failure modes with a hybrid MCDM model under interval-valued intuitionistic fuzzy environments , 2016, Comput. Ind. Eng..

[24]  Sen Liu,et al.  Decision making for the selection of cloud vendor: An improved approach under group decision-making with integrated weights and objective/subjective attributes , 2016, Expert Syst. Appl..

[25]  Witold Pedrycz,et al.  Frank aggregation operators and their application to hesitant fuzzy multiple attribute decision making , 2016, Appl. Soft Comput..

[26]  Fernando José Von Zuben,et al.  Learning to Anticipate Flexible Choices in Multiple Criteria Decision-Making Under Uncertainty , 2016, IEEE Transactions on Cybernetics.

[27]  C. Spearman The proof and measurement of association between two things. , 2015, International journal of epidemiology.

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

[29]  Francisco Herrera,et al.  Hesitant Fuzzy Sets: State of the Art and Future Directions , 2014, Int. J. Intell. Syst..

[30]  S. M. Mousavi,et al.  Robot selection by a multiple criteria complex proportional assessment method under an interval-valued fuzzy environment , 2014 .

[31]  Edmundas Kazimieras Zavadskas,et al.  State of art surveys of overviews on MCDM/MADM methods , 2014 .

[32]  Min Sun,et al.  The Probabilistic Hesitant Fuzzy Weighted Average Operators and Their Application in Strategic Decision Making , 2013 .

[33]  E. Zavadskas,et al.  A complex proportional assessment method for group decision making in an interval-valued intuitionistic fuzzy environment , 2013 .

[34]  Chiang Kao,et al.  Weight determination for consistently ranking alternatives in multiple criteria decision analysis , 2010 .

[35]  Vicenç Torra,et al.  Hesitant fuzzy sets , 2010, Int. J. Intell. Syst..

[36]  Leonas Ustinovichius,et al.  Attributes Weights Determining Peculiarities in Multiple Attribute Decision Making Methods , 2010 .

[37]  Edmundas Kazimieras Zavadskas,et al.  Multi-Attribute Decision-Making Model by Applying Grey Numbers , 2009, Informatica.

[38]  Edmundas Kazimieras Zavadskas,et al.  Multicriteria selection of project managers by applying grey criteria , 2008 .

[39]  Edmundas Kazimieras Zavadskas,et al.  SELECTION OF THE EFFECTIVE DWELLING HOUSE WALLS BY APPLYING ATTRIBUTES VALUES DETERMINED AT INTERVALS , 2008 .

[40]  Frans Voorbraak,et al.  A Computationally Efficient Approximation of Dempster-Shafer Theory , 1988, Int. J. Man Mach. Stud..

[41]  Tofigh Allahviranloo,et al.  Fractional relaxation-oscillation differential equations via fuzzy variational iteration method , 2017, J. Intell. Fuzzy Syst..

[42]  Edmundas Kazimieras Zavadskas,et al.  Application of Neutrosophic Set to Multicriteria Decision Making by Copras , 2017 .

[43]  Nara Medianeira Stefano,et al.  COPRAS (Complex Proportional Assessment): state of the art research and its applications , 2015, IEEE Latin America Transactions.

[44]  Nilesh Pawar,et al.  Selection Of Industrial Robots using Complex Proportional Assessment Method , 2014 .

[45]  Evangelos Triantaphyllou,et al.  Multi-Criteria Decision Making: An Operations Research Approach , 1998 .