Norm-based distance measure of q-rung orthopair fuzzy sets and its application in decision-making

[1]  Zeeshan Ali,et al.  Analysis of TOPSIS techniques based on bipolar complex fuzzy N-soft setting and their applications in decision-making problems , 2023, CAAI Trans. Intell. Technol..

[2]  Harish Garg,et al.  On spherical fuzzy distance measure and TAOV method for decision-making problems with incomplete weight information , 2023, Eng. Appl. Artif. Intell..

[3]  T. Rashid,et al.  A multi-criteria group decision-making approach based on revised distance measures under dual hesitant fuzzy setting with unknown weight information , 2022, Soft Computing.

[4]  Jawad Ali.  A q-rung orthopair fuzzy MARCOS method using novel score function and its application to solid waste management , 2021, Applied Intelligence.

[5]  Muhammad Akram,et al.  Decision-making with q-rung orthopair fuzzy graph structures , 2021, Granular Computing.

[6]  Zhigang Luo,et al.  q‐Rung orthopair fuzzy decision‐making framework for integrating mobile edge caching scheme preferences , 2021, Int. J. Intell. Syst..

[7]  Zia Bashir,et al.  On distance measure and TOPSIS model for probabilistic interval-valued hesitant fuzzy sets: application to healthcare facilities in public hospitals , 2021, Grey Syst. Theory Appl..

[8]  Jiang Wu,et al.  GREEN SUPPLIER SELECTION BASED ON CODAS METHOD IN PROBABILISTIC UNCERTAIN LINGUISTIC ENVIRONMENT , 2021 .

[9]  Qiang Li,et al.  Undergraduate teaching audit and evaluation using an extended MABAC method under q‐rung orthopair fuzzy environment , 2020, Int. J. Intell. Syst..

[10]  Jawad Ali,et al.  Weighted interval-valued dual-hesitant fuzzy sets and its application in teaching quality assessment , 2020, Soft Computing.

[11]  Shyi-Ming Chen,et al.  Multiple-Attribute Group Decision-Making Based on q-Rung Orthopair Fuzzy Power Maclaurin Symmetric Mean Operators , 2020, IEEE Transactions on Systems, Man, and Cybernetics: Systems.

[12]  Abhijit Saha,et al.  Multi-attribute decision making using q-rung orthopair fuzzy weighted fairly aggregation operators , 2020, J. Ambient Intell. Humaniz. Comput..

[13]  Zia Bashir,et al.  Consensus-based robust decision making methods under a novel study of probabilistic uncertain linguistic information and their application in Forex investment , 2020, Artificial Intelligence Review.

[14]  Enrique Herrera-Viedma,et al.  A NOVEL TODIM BASED ON PROSPECT THEORY TO SELECT GREEN SUPPLIER WITH Q-RUNG ORTHOPAIR FUZZY SET , 2020 .

[15]  Xindong Peng,et al.  Extension of Einstein geometric operators to multi-attribute decision making under q-rung orthopair fuzzy information , 2020, Granular Computing.

[16]  Fatih Emre Boran,et al.  A q-rung orthopair fuzzy multi-criteria group decision making method for supplier selection based on a novel distance measure , 2020, Int. J. Mach. Learn. Cybern..

[17]  Muhammad Akram,et al.  A hybrid decision-making model under q-rung orthopair fuzzy Yager aggregation operators , 2020, Granular Computing.

[18]  Harish Garg,et al.  Investigation of multiple heterogeneous relationships using a q-rung orthopair fuzzy multi-criteria decision algorithm , 2020, Neural Computing and Applications.

[19]  Harish Garg,et al.  Multiattribute group decision making based on neutrality aggregation operators of q-rung orthopair fuzzy sets , 2020, Inf. Sci..

[20]  G. Wei,et al.  Entropy-Based GLDS Method for Social Capital Selection of a PPP Project with q-Rung Orthopair Fuzzy Information , 2020, Entropy.

[21]  Harish Garg,et al.  A novel trigonometric operation-based q-rung orthopair fuzzy aggregation operator and its fundamental properties , 2020, Neural Computing and Applications.

[22]  Wei Yang,et al.  New q-Rung Orthopair Fuzzy Bonferroni Mean Dombi Operators and Their Application in Multiple Attribute Decision Making , 2020, IEEE Access.

[23]  Xiangling Fu,et al.  A decision‐making algorithm for online shopping using deep‐learning–based opinion pairs mining and q‐rung orthopair fuzzy interaction Heronian mean operators , 2020, Int. J. Intell. Syst..

[24]  Xindong PENG,et al.  FUZZY DECISION MAKING METHOD BASED ON COCOSO WITH CRITIC FOR FINANCIAL RISK EVALUATION , 2020 .

[25]  Yumei Wang,et al.  Multiple attribute decision making based on q-rung orthopair fuzzy generalized Maclaurin symmetic mean operators , 2020, Inf. Sci..

[26]  Meifa Huang,et al.  Archimedean Muirhead Aggregation Operators of q-Rung Orthopair Fuzzy Numbers for Multicriteria Group Decision Making , 2019, Complex..

[27]  Madhumangal Pal,et al.  Some Dombi aggregation of Q‐rung orthopair fuzzy numbers in multiple‐attribute decision making , 2019, Int. J. Intell. Syst..

[28]  Jiang Wu,et al.  EDAS METHOD FOR MULTIPLE ATTRIBUTE GROUP DECISION MAKING UNDER Q-RUNG ORTHOPAIR FUZZY ENVIRONMENT , 2019, Technological and Economic Development of Economy.

[29]  Wen Sheng Du,et al.  Weighted power means of q ‐rung orthopair fuzzy information and their applications in multiattribute decision making , 2019, Int. J. Intell. Syst..

[30]  Runtong Zhang,et al.  Some q-rung orthopair fuzzy point weighted aggregation operators for multi-attribute decision making , 2019, Soft Comput..

[31]  Qaisar Khan,et al.  An approach toward decision-making and medical diagnosis problems using the concept of spherical fuzzy sets , 2019, Neural Computing and Applications.

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

[33]  K. S. Ravichandran,et al.  Generalized orthopair fuzzy weighted distance‐based approximation (WDBA) algorithm in emergency decision‐making , 2019, Int. J. Intell. Syst..

[34]  Fuad E. Alsaadi,et al.  Some q‐rung orthopair fuzzy Hamy mean operators in multiple attribute decision‐making and their application to enterprise resource planning systems selection , 2019, Int. J. Intell. Syst..

[35]  Lin Liu,et al.  Information measures for q‐rung orthopair fuzzy sets , 2019, Int. J. Intell. Syst..

[36]  Xindong Peng,et al.  Research on the assessment of classroom teaching quality with q‐rung orthopair fuzzy information based on multiparametric similarity measure and combinative distance‐based assessment , 2019, Int. J. Intell. Syst..

[37]  Honghai Wang,et al.  Multi‐attribute group decision‐making methods based on q‐rung orthopair fuzzy linguistic sets , 2019, Int. J. Intell. Syst..

[38]  Runtong Zhang,et al.  A new multi-criteria group decision-making approach based on q-rung orthopair fuzzy interaction Hamy mean operators , 2019, Neural Computing and Applications.

[39]  Runtong Zhang,et al.  A new multi-criteria group decision-making approach based on q-rung orthopair fuzzy interaction Hamy mean operators , 2019, Neural Computing and Applications.

[40]  Guiwu Wei,et al.  Similarity Measures of q-Rung Orthopair Fuzzy Sets Based on Cosine Function and Their Applications , 2019, Mathematics.

[41]  Jawad Ali,et al.  A Novel Multi-Attribute Group Decision-Making Approach in the Framework of Proportional Dual Hesitant Fuzzy Sets , 2019, Applied Sciences.

[42]  Xiaohong Chen,et al.  Some cosine similarity measures and distance measures between q‐rung orthopair fuzzy sets , 2019, Int. J. Intell. Syst..

[43]  Jie Wang,et al.  Some q‐rung orthopair fuzzy maclaurin symmetric mean operators and their applications to potential evaluation of emerging technology commercialization , 2018, Int. J. Intell. Syst..

[44]  Jawad Ali,et al.  Probabilistic Hesitant Intuitionistic Linguistic Term Sets in Multi-Attribute Group Decision Making , 2018, Symmetry.

[45]  Hui Gao,et al.  Some q‐rung orthopair fuzzy Heronian mean operators in multiple attribute decision making , 2018, Int. J. Intell. Syst..

[46]  Muhammad Irfan Ali,et al.  Another view on q‐rung orthopair fuzzy sets , 2018, Int. J. Intell. Syst..

[47]  Wen Sheng Du,et al.  Minkowski‐type distance measures for generalized orthopair fuzzy sets , 2018, Int. J. Intell. Syst..

[48]  Samarjit Kar,et al.  A multi-criteria decision making for renewable energy selection using Z-numbers in uncertain environment , 2018 .

[49]  Peng Wang,et al.  Some q‐Rung Orthopair Fuzzy Aggregation Operators and their Applications to Multiple‐Attribute Decision Making , 2018, Int. J. Intell. Syst..

[50]  Naif Alajlan,et al.  Approximate reasoning with generalized orthopair fuzzy sets , 2017, Inf. Fusion.

[51]  Ronald R. Yager,et al.  Generalized Orthopair Fuzzy Sets , 2017, IEEE Transactions on Fuzzy Systems.

[52]  R. Logesh,et al.  Resources, configurations, and soft computing techniques for power management and control of PV/wind hybrid system , 2017 .

[53]  Harish Garg,et al.  A Novel Correlation Coefficients between Pythagorean Fuzzy Sets and Its Applications to Decision‐Making Processes , 2016, Int. J. Intell. Syst..

[54]  Omolbanin Yazdanbakhsh,et al.  On Pythagorean and Complex Fuzzy Set Operations , 2016, IEEE Transactions on Fuzzy Systems.

[55]  Zeshui Xu,et al.  The Properties of Continuous Pythagorean Fuzzy Information , 2016, Int. J. Intell. Syst..

[56]  George A. Papakostas,et al.  A novel distance measure of intuitionistic fuzzy sets and its application to pattern recognition problems , 2012, Int. J. Intell. Syst..

[57]  E. Triantaphyllou,et al.  Ranking irregularities when evaluating alternatives by using some ELECTRE methods , 2008 .

[58]  Zeshui Xu,et al.  Intuitionistic Fuzzy Aggregation Operators , 2007, IEEE Transactions on Fuzzy Systems.

[59]  Zeshui Xu,et al.  Some geometric aggregation operators based on intuitionistic fuzzy sets , 2006, Int. J. Gen. Syst..

[60]  Ronald R. Yager,et al.  Intuitionistic fuzzy interpretations of multi-criteria multi-person and multi-measurement tool decision making , 2005, Int. J. Syst. Sci..

[61]  Janusz Kacprzyk,et al.  Entropy for intuitionistic fuzzy sets , 2001, Fuzzy Sets Syst..

[62]  Celik Parkan,et al.  Decision-making and performance measurement models with applications to robot selection , 1999 .

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

[64]  F. Jarad,et al.  Distance and similarity measures of intuitionistic fuzzy hypersoft sets with application: Evaluation of air pollution in cities based on air quality index , 2023, AIMS Mathematics.

[65]  Masooma Raza Hashmi,et al.  Spherical Linear Diophantine Fuzzy Sets with Modeling Uncertainties in MCDM , 2021 .

[66]  Jiang Wu,et al.  New similarity and distance measures of Pythagorean fuzzy sets and its application to selection of advertising platforms , 2021, J. Intell. Fuzzy Syst..

[67]  Robert LIN,et al.  NOTE ON FUZZY SETS , 2014 .