Yager aggregation operators based on complex interval-valued q-rung orthopair fuzzy information and their application in decision making
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[1] Shyi-Ming Chen,et al. Group decision making based on advanced intuitionistic fuzzy weighted Heronian mean aggregation operator of intuitionistic fuzzy values , 2022, Inf. Sci..
[2] Shyi-Ming Chen,et al. Group decision making based on multiplicative consistency and consensus of Pythagorean fuzzy preference relations , 2022, Inf. Sci..
[3] T. Al-shami,et al. SR-Fuzzy Sets and Their Weighted Aggregated Operators in Application to Decision-Making , 2022, Journal of Function Spaces.
[4] J. Alcantud,et al. Complex fermatean fuzzy N-soft sets: a new hybrid model with applications , 2022, Journal of ambient intelligence and humanized computing.
[5] K. Rahman. Some new logarithmic aggregation operators and their application to group decision making problem based on t-norm and t-conorm , 2021, Soft Computing.
[6] Ali Ebrahimnejad,et al. Fuzzy arithmetic DEA approach for fuzzy multi-objective transportation problem , 2020, Oper. Res..
[7] T. Al-shami,et al. (3, 2)-Fuzzy Sets and Their Applications to Topology and Optimal Choices , 2021, Comput. Intell. Neurosci..
[8] Ali Ebrahimnejad,et al. A novel ant colony algorithm for solving shortest path problems with fuzzy arc weights , 2021, Alexandria Engineering Journal.
[9] Qaisar Khan,et al. Einstein Geometric Aggregation Operators using a Novel Complex Interval-valued Pythagorean Fuzzy Setting with Application in Green Supplier Chain Management , 2021 .
[10] Muhammad Akram,et al. A Hybrid Decision-Making Approach Under Complex Pythagorean Fuzzy N-Soft Sets , 2021, Int. J. Comput. Intell. Syst..
[11] Zeshui Xu,et al. Approach to the consistency and consensus of Pythagorean fuzzy preference relations based on their partial orders in group decision making , 2021, Journal of Industrial & Management Optimization.
[12] Miin-Shen Yang,et al. TOPSIS Method Based on Complex Spherical Fuzzy Sets with Bonferroni Mean Operators , 2020 .
[13] Muhammad Akram,et al. Multi-criteria Decision-Making Model Using Complex Pythagorean Fuzzy Yager Aggregation Operators , 2020 .
[14] Harish Garg,et al. Decision-Making Analysis Based on Fermatean Fuzzy Yager Aggregation Operators with Application in COVID-19 Testing Facility , 2020 .
[15] Muhammad Akram,et al. A hybrid decision-making model under q-rung orthopair fuzzy Yager aggregation operators , 2020, Granular Computing.
[16] Harish Garg,et al. Multiattribute group decision making based on neutrality aggregation operators of q-rung orthopair fuzzy sets , 2020, Inf. Sci..
[17] Gulfam Shahzadi,et al. Decision-Making Approach under Pythagorean Fuzzy Yager Weighted Operators , 2020, Mathematics.
[18] Peide Liu,et al. Complex q-Rung Orthopair Fuzzy Aggregation Operators and Their Applications in Multi-Attribute Group Decision Making , 2019, Inf..
[19] 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.
[20] Peide Liu,et al. A Method to Multi-Attribute Group Decision-Making Problem with Complex q-Rung Orthopair Linguistic Information Based on Heronian Mean Operators , 2019, Int. J. Comput. Intell. Syst..
[21] Harish Garg,et al. Novel aggregation operators and ranking method for complex intuitionistic fuzzy sets and their applications to decision-making process , 2019, Artificial Intelligence Review.
[22] Harish Garg,et al. Exponential, Logarithmic and Compensative Generalized Aggregation Operators Under Complex Intuitionistic Fuzzy Environment , 2019, Group Decision and Negotiation.
[23] Tahir Mahmood,et al. On some distance measures of complex Pythagorean fuzzy sets and their applications in pattern recognition , 2019, Complex & Intelligent Systems.
[24] Muhammad Akram,et al. Novel Approach in Decision Making with m–Polar Fuzzy ELECTRE-I , 2019, Int. J. Fuzzy Syst..
[25] Harish Garg,et al. Hesitant Pythagorean fuzzy Maclaurin symmetric mean operators and its applications to multiattribute decision‐making process , 2018, Int. J. Intell. Syst..
[26] Harish Garg,et al. New logarithmic operational laws and their aggregation operators for Pythagorean fuzzy set and their applications , 2018, Int. J. Intell. Syst..
[27] 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.
[28] Harish Garg,et al. A novel exponential distance and its based TOPSIS method for interval-valued intuitionistic fuzzy sets using connection number of SPA theory , 2018, Artificial Intelligence Review.
[29] Harish Garg,et al. A robust correlation coefficient measure of complex intuitionistic fuzzy sets and their applications in decision-making , 2018, Applied Intelligence.
[30] Harish Garg,et al. An advanced study on the similarity measures of intuitionistic fuzzy sets based on the set pair analysis theory and their application in decision making , 2018, Soft Computing.
[31] Madjid Tavana,et al. A hybrid DEA-MOLP model for public school assessment and closure decision in the City of Philadelphia , 2018 .
[32] Peng Wang,et al. Some q‐Rung Orthopair Fuzzy Aggregation Operators and their Applications to Multiple‐Attribute Decision Making , 2018, Int. J. Intell. Syst..
[33] Harish Garg,et al. A Novel Improved Accuracy Function for Interval Valued Pythagorean Fuzzy Sets and Its Applications in the Decision‐Making Process , 2017, Int. J. Intell. Syst..
[34] Harish Garg,et al. Confidence levels based Pythagorean fuzzy aggregation operators and its application to decision-making process , 2017, Computational and Mathematical Organization Theory.
[35] Muhammad Akram,et al. Certain types of irregular m-polar fuzzy graphs , 2017 .
[36] José L. Verdegay,et al. An efficient computational approach for solving type-2 intuitionistic fuzzy numbers based Transportation Problems , 2016, Int. J. Comput. Intell. Syst..
[37] Harish Garg,et al. A new generalized improved score function of interval-valued intuitionistic fuzzy sets and applications in expert systems , 2016, Appl. Soft Comput..
[38] Abdul Razak Salleh,et al. Complex intuitionistic fuzzy sets , 2012 .
[39] Huimin Zhang,et al. MADM method based on cross-entropy and extended TOPSIS with interval-valued intuitionistic fuzzy sets , 2012, Knowl. Based Syst..
[40] Ali Ebrahimnejad,et al. Equivalence relationship between the general combined-oriented CCR model and the weighted minimax MOLP formulation , 2012 .
[41] Shyi-Ming Chen,et al. Fuzzy risk analysis based on ranking generalized fuzzy numbers with different heights and different spreads , 2009, Expert Syst. Appl..
[42] Panagiota Spyridonos,et al. Brain tumor characterization using the soft computing technique of fuzzy cognitive maps , 2008, Appl. Soft Comput..
[43] Abraham Kandel,et al. Complex fuzzy sets , 2002, IEEE Trans. Fuzzy Syst..
[44] Shyi-Ming Chen. FUZZY SYSTEM RELIABILITY-ANALYSIS USING FUZZY NUMBER ARITHMETIC OPERATIONS (VOL 64, PG 31, 1994) , 1994 .