Multi-criteria group decision making with Pythagorean fuzzy soft topology

[1]  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.

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

[3]  Jianming Zhan,et al.  A novel soft rough set: Soft rough hemirings and corresponding multicriteria group decision making , 2017, Appl. Soft Comput..

[4]  Jianming Zhan,et al.  A novel type of soft rough covering and its application to multicriteria group decision making , 2019, Artificial Intelligence Review.

[5]  Yong Yang,et al.  Pythagorean Fuzzy Information Measures and Their Applications , 2017, Int. J. Intell. Syst..

[6]  Rakesh Kumar Bajaj,et al.  On Pythagorean fuzzy soft matrices, operations and their applications in decision making and medical diagnosis , 2018, Soft Computing.

[7]  A. Kamal,et al.  Generalized composition operators on QK,ω (p,q) spaces , 2012 .

[8]  S. Jafari,et al.  On Generalized Closed Sets and Generalized Pre-Closed Sets in Neutrosophic Topological Spaces , 2018, Mathematics.

[9]  Aslam Muhammad,et al.  N-soft topology and its applications to multi-criteria group decision making , 2019, J. Intell. Fuzzy Syst..

[10]  D. Molodtsov.  Soft set theory—First results , 1999 .

[11]  Muhammad Akram,et al.  Hybrid models for decision-making based on rough Pythagorean fuzzy bipolar soft information , 2018, Granular Computing.

[12]  Masooma Raza Hashmi,et al.  MAGDM for agribusiness in the environment of various cubic m-polar fuzzy averaging aggregation operators , 2019, J. Intell. Fuzzy Syst..

[13]  Masooma Raza Hashmi,et al.  A novel approach to censuses process by using Pythagorean m-polar fuzzy Dombi's aggregation operators , 2020, J. Intell. Fuzzy Syst..

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

[15]  Xindong Peng,et al.  Pythagorean fuzzy soft MCGDM methods based on TOPSIS, VIKOR and aggregation operators , 2019, J. Intell. Fuzzy Syst..

[16]  Young Bae Jun,et al.  An adjustable approach to fuzzy soft set based decision making , 2010, J. Comput. Appl. Math..

[17]  Muhammad Riaz,et al.  Pythagorean m-polar fuzzy sets and TOPSIS method for the selection of advertisement mode , 2019, J. Intell. Fuzzy Syst..

[18]  Muhammad Riaz,et al.  A similarity measure under Pythagorean fuzzy soft environment with applications , 2020, Computational and Applied Mathematics.

[19]  Halis Aygün,et al.  A New Approach to Soft Topology , 2012 .

[20]  Muhammad Riaz,et al.  Novel concepts of soft rough set topology with applications , 2019, J. Intell. Fuzzy Syst..

[21]  Harish Garg,et al.  A New Generalized Pythagorean Fuzzy Information Aggregation Using Einstein Operations and Its Application to Decision Making , 2016, Int. J. Intell. Syst..

[22]  Jianming Zhan,et al.  Fuzzy soft $$\beta$$β-covering based fuzzy rough sets and corresponding decision-making applications , 2019, Int. J. Mach. Learn. Cybern..

[23]  Muhammad Akram,et al.  Energy of Pythagorean Fuzzy Graphs with Applications , 2018, Mathematics.

[24]  Muhammad Akram,et al.  Specific Types of Pythagorean Fuzzy Graphs and Application to Decision-Making , 2018, Mathematical and Computational Applications.

[25]  Li Zhang,et al.  Novel classes of fuzzy soft $$\beta $$β-coverings-based fuzzy rough sets with applications to multi-criteria fuzzy group decision making , 2018, Soft Comput..

[26]  Masooma Raza Hashmi,et al.  Soft rough Pythagorean m-polar fuzzy sets and Pythagorean m-polar fuzzy soft rough sets with application to decision-making , 2019, Computational and Applied Mathematics.

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

[28]  Jianming Zhan,et al.  On a novel uncertain soft set model: Z-soft fuzzy rough set model and corresponding decision making methods , 2017, Appl. Soft Comput..

[29]  Bijan Davvaz,et al.  Soft sets combined with fuzzy sets and rough sets: a tentative approach , 2010, Soft Comput..

[30]  Florentin Smarandache,et al.  m-Polar Neutrosophic Topology with Applications to Multi-criteria Decision-Making in Medical Diagnosis and Clustering Analysis , 2019, International Journal of Fuzzy Systems.

[31]  Muhammad Shabir,et al.  On soft topological spaces , 2011, Comput. Math. Appl..

[32]  Muhammed I. Syam,et al.  A Numerical Solution of Fractional Lienard’s Equation by Using the Residual Power Series Method , 2017 .

[33]  Muhammad Riaz,et al.  Multi-attribute group decision making based on cubic bipolar fuzzy information using averaging aggregation operators , 2019, J. Intell. Fuzzy Syst..

[34]  Harish Garg,et al.  TOPSIS method based on the connection number of set pair analysis under interval-valued intuitionistic fuzzy set environment , 2016, Computational and Applied Mathematics.

[35]  Shahaboddin Shamshirband,et al.  A Fast Recommender System for Cold User Using Categorized Items , 2018 .

[36]  Xiaoyan Liu,et al.  On some new operations in soft set theory , 2009, Comput. Math. Appl..

[37]  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.

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

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

[40]  N. Çagman,et al.  FUZZY SOFT SET THEORY AND ITS APPLICATIONS , 2011 .

[41]  Syeda Tayyba Tehrim,et al.  Cubic bipolar fuzzy ordered weighted geometric aggregation operators and their application using internal and external cubic bipolar fuzzy data , 2019, Comput. Appl. Math..

[42]  Zhen Zhang,et al.  Extended TODIM for multi-criteria group decision making based on unbalanced hesitant fuzzy linguistic term sets , 2017, Comput. Ind. Eng..

[43]  Masooma Raza Hashmi,et al.  Linear Diophantine fuzzy set and its applications towards multi-attribute decision-making problems , 2019, J. Intell. Fuzzy Syst..

[44]  A. R. Roy,et al.  Soft set theory , 2003 .

[45]  Jianqiang Wang,et al.  An extended MABAC method for multi-criteria group decision-making problems based on correlative inputs of intuitionistic fuzzy information , 2019, Comput. Appl. Math..

[46]  Xindong Peng,et al.  Pythagorean fuzzy set: state of the art and future directions , 2017, Artificial Intelligence Review.

[47]  Harish Garg,et al.  Generalized Pythagorean Fuzzy Geometric Aggregation Operators Using Einstein t‐Norm and t‐Conorm for Multicriteria Decision‐Making Process , 2017, Int. J. Intell. Syst..