A real Shapley value for evidential games with fuzzy characteristic function
暂无分享,去创建一个
[1]
José Carlos R. Alcantud,et al.
An
[2] Lipeng Pan,et al. Constrained Pythagorean Fuzzy Sets and Its Similarity Measure , 2021, IEEE Transactions on Fuzzy Systems.
[3] Ronald R. Yager,et al. On Using the Shapley Value to Approximate the Choquet Integral in Cases of Uncertain Arguments , 2018, IEEE Transactions on Fuzzy Systems.
[4] Jean Dezert,et al. Combination of Classifiers With Different Frames of Discernment Based on Belief Functions , 2021, IEEE Transactions on Fuzzy Systems.
[5] Wen Jiang,et al. Multi-Scale Metric Learning for Few-Shot Learning , 2021, IEEE Transactions on Circuits and Systems for Video Technology.
[6] Yong DENG,et al. Uncertainty measure in evidence theory , 2020, Science China Information Sciences.
[7] Van-Nam Huynh,et al. A weight-consistent model for fuzzy supplier selection and order allocation problem , 2020, Ann. Oper. Res..
[8] Xinyang Deng,et al. A total uncertainty measure for D numbers based on belief intervals , 2017, Int. J. Intell. Syst..
[9] Andrés Jiménez-Losada,et al. Games with fuzzy authorization structure: A Shapley value , 2015, Fuzzy Sets Syst..
[10] Jian-Bo Yang,et al. Evidential reasoning approach for MADM based on incomplete interval value , 2017, J. Intell. Fuzzy Syst..
[11] Weiwen Peng,et al. Reliability analysis of multi-state systems with common cause failures based on Bayesian network and fuzzy probability , 2019, Ann. Oper. Res..
[12] Chin-Teng Lin,et al. Multi-channel EEG recordings during a sustained-attention driving task , 2018, Scientific Data.
[13] Ronald R. Yager,et al. Soft likelihood functions in combining evidence , 2017, Inf. Fusion.
[14] Liguo Fei,et al. A novel retrieval strategy for case-based reasoning based on attitudinal Choquet integral , 2020, Eng. Appl. Artif. Intell..
[15] Liguo Fei,et al. An Attitudinal Nonlinear Integral and Applications in Decision Making , 2020, International Journal of Fuzzy Systems.
[16] Zeshui Xu,et al. A survey of decision-making methods with probabilistic linguistic information: bibliometrics, preliminaries, methodologies, applications and future directions , 2020, Fuzzy Optim. Decis. Mak..
[17] Luning Liu,et al. Evidence combination using OWA‐based soft likelihood functions , 2019, Int. J. Intell. Syst..
[18] K. H. Cheong,et al. The role of emotions in spatial prisoner's dilemma game with voluntary participation , 2018 .
[19] Francisco Herrera,et al. Group decision making with double hierarchy hesitant fuzzy linguistic preference relations: Consistency based measures, index and repairing algorithms and decision model , 2019, Inf. Sci..
[20] Andrés Jiménez-Losada,et al. A real Shapley value for cooperative games with fuzzy characteristic function , 2021, Fuzzy Sets Syst..
[21] Kang Hao Cheong,et al. Parrondo’s paradox from classical to quantum: A review , 2020 .
[22] Witold Pedrycz,et al. A Dynamic Adaptive Subgroup-to-Subgroup Compatibility-Based Conflict Detection and Resolution Model for Multicriteria Large-Scale Group Decision Making , 2020, IEEE Transactions on Cybernetics.
[23] Yafei Song,et al. Divergence-based cross entropy and uncertainty measures of Atanassov's intuitionistic fuzzy sets with their application in decision making , 2019, Appl. Soft Comput..
[24] Luning Liu,et al. On Pythagorean fuzzy decision making using soft likelihood functions , 2019, Int. J. Intell. Syst..
[25] Harish Garg,et al. Some Novel Interactive Hybrid Weighted Aggregation Operators with Pythagorean Fuzzy Numbers and Their Applications to Decision Making , 2019, Mathematics.
[26] Muhammad Akram,et al. Multi-criteria group decision making based on ELECTRE I method in Pythagorean fuzzy information , 2019, Soft Computing.
[27] Fuyuan Xiao,et al. A Distance Measure for Intuitionistic Fuzzy Sets and Its Application to Pattern Classification Problems , 2021, IEEE Transactions on Systems, Man, and Cybernetics: Systems.
[28] Fuyuan Xiao,et al. A Novel Conflict Measurement in Decision-Making and Its Application in Fault Diagnosis , 2020, IEEE Transactions on Fuzzy Systems.
[29] Xanno Kharis Sigalingging,et al. Predicting station level demand in a bike‐sharing system using recurrent neural networks , 2020 .
[30] Liguo Fei,et al. An extended best-worst multi-criteria decision-making method by belief functions and its applications in hospital service evaluation , 2020, Comput. Ind. Eng..
[31] Jian-Bo Yang,et al. Data classification using evidence reasoning rule , 2017, Knowl. Based Syst..
[32] Krassimir T. Atanassov,et al. Intuitionistic fuzzy sets , 1986 .
[33] Y. Favennec,et al. Reactive fluid flow topology optimization with the multi-relaxation time lattice Boltzmann method and a level-set function , 2020, J. Comput. Phys..
[34] Xiaohong Zhang,et al. An Extended VIKOR Method for Multiple Attribute Decision Making with Linguistic D Numbers Based on Fuzzy Entropy , 2020, Int. J. Inf. Technol. Decis. Mak..
[35] Hamido Fujita,et al. Computer Aided detection for fibrillations and flutters using deep convolutional neural network , 2019, Inf. Sci..
[36] Yong Deng,et al. A new belief structure based on cardinality measure , 2021, Computational and Applied Mathematics.
[37] Fuyuan Xiao,et al. EFMCDM: Evidential Fuzzy Multicriteria Decision Making Based on Belief Entropy , 2020, IEEE Transactions on Fuzzy Systems.
[38] Kevin Kam Fung Yuen,et al. Towards an MCDM-Based Evaluation Framework for Regression Algorithms , 2017, 2017 IEEE International Conference on Smart Computing (SMARTCOMP).
[39] Fuyuan Xiao,et al. GIQ: A Generalized Intelligent Quality-Based Approach for Fusing Multisource Information , 2019, IEEE Transactions on Fuzzy Systems.
[40] L. S. Shapley,et al. 17. A Value for n-Person Games , 1953 .
[41] Jenq-Shiou Leu,et al. Multilevel Neural Network for Reducing Expected Inference Time , 2019, IEEE Access.
[42] Joel Weijia Lai,et al. Social dynamics and Parrondo’s paradox: a narrative review , 2020, Nonlinear Dynamics.
[43] Haiqing Li,et al. A Reliability Modeling for Multi-Component Systems Considering Random Shocks and Multi-State Degradation , 2019, IEEE Access.
[44] Glenn Shafer,et al. A Mathematical Theory of Evidence , 2020, A Mathematical Theory of Evidence.
[45] Tummala Ranga Babu,et al. Level set evolution of biomedical MRI and CT scan images using optimized fuzzy region clustering , 2019, Comput. methods Biomech. Biomed. Eng. Imaging Vis..
[46] Enrico Zio,et al. Risk Assessment of an Electrical Power System Considering the Influence of Traffic Congestion on a Hypothetical Scenario of Electrified Transportation System in New York State , 2019, IEEE Transactions on Intelligent Transportation Systems.
[47] Ye Ye,et al. Passive network evolution promotes group welfare in complex networks , 2019, Chaos, Solitons & Fractals.
[48] Chao Fu,et al. Comparison of Evidential Reasoning Algorithm with Linear Combination in Decision Making , 2020, Int. J. Fuzzy Syst..
[49] Lipeng Pan,et al. Quantum Pythagorean Fuzzy Evidence Theory: A Negation of Quantum Mass Function View , 2021, IEEE Transactions on Fuzzy Systems.
[50] Miao Liu,et al. A fluid–structure analysis approach and its application in the uncertainty-based multidisciplinary design and optimization for blades , 2018, Advances in Mechanical Engineering.
[51] A. Ishizaka,et al. Outsourcing and offshoring decision making and its implications for businesses - A synthesis of research pursuing five pertinent questions , 2019, Journal of Business Research.
[52] Kang Hao Cheong,et al. New doubly-anomalous Parrondo’s games suggest emergent sustainability and inequality , 2019, Nonlinear Dynamics.
[53] Van-Nam Huynh,et al. A Fuzzy AHP-TOPSIS Approach for Selecting the Multimodal Freight Transportation Routes , 2019, Communications in Computer and Information Science.
[54] Ghazaala Yasmin,et al. Graph based feature selection investigating boundary region of rough set for language identification , 2020, Expert Syst. Appl..
[55] Kang Hao Cheong,et al. Multi-level information fusion to alleviate network congestion , 2020, Inf. Fusion.
[56] R. Yager. On the dempster-shafer framework and new combination rules , 1987, Inf. Sci..
[57] Yong Deng. Information Volume of Mass Function , 2020, Int. J. Comput. Commun. Control.
[58] Wen Jiang,et al. A Novel Z-Network Model Based on Bayesian Network and Z-Number , 2020, IEEE Transactions on Fuzzy Systems.
[59] M. Iqbal Saripan,et al. Retinal Blood Vessel Segmentation by Using Matched Filtering and Fuzzy C-means Clustering with Integrated Level Set Method for Diabetic Retinopathy Assessment , 2018, Journal of Medical and Biological Engineering.
[60] Yong Deng,et al. Generate two-dimensional belief function based on an improved similarity measure of trapezoidal fuzzy numbers , 2020, Computational and Applied Mathematics.
[61] Limao Zhang,et al. Improved Fuzzy Bayesian Network-Based Risk Analysis With Interval-Valued Fuzzy Sets and D–S Evidence Theory , 2020, IEEE Transactions on Fuzzy Systems.
[62] Angappa Gunasekaran,et al. Outsourcing and offshoring decision making , 2019, Int. J. Prod. Res..
[63] Hui Zhang,et al. Entropy measure for orderable sets , 2021, Inf. Sci..
[64] Huchang Liao,et al. A Deng-Entropy-Based Evidential Reasoning Approach for Multi-expert Multi-criterion Decision-Making with Uncertainty , 2020, Int. J. Comput. Intell. Syst..
[65] Maria Letizia Guerra,et al. Fuzzy Numbers and Fuzzy Arithmetic , 2008 .
[66] Yu Liu,et al. Evidence Combination Based on Credal Belief Redistribution for Pattern Classification , 2020, IEEE Transactions on Fuzzy Systems.
[67] Jixiang Deng,et al. Information Volume of Fuzzy Membership Function , 2021, Int. J. Comput. Commun. Control.
[68] Harish Garg,et al. A novel possibility measure to interval-valued intuitionistic fuzzy set using connection number of set pair analysis and its applications , 2019, Neural Computing and Applications.
[69] Ronald R. Yager,et al. A procedure for ordering fuzzy subsets of the unit interval , 1981, Inf. Sci..
[70] Fuyuan Xiao,et al. CED: A Distance for Complex Mass Functions , 2020, IEEE Transactions on Neural Networks and Learning Systems.