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ORCIDVicenç Torra
Vicenç Torra I. Reventós
Person information
- affiliation: Umeå University, Sweden
- affiliation: Maynooth University, Ireland
- affiliation (former): University of Skövde, Sweden
- affiliation (former): Spanish National Research Council (CSIC), Spain
- affiliation (former): Rovira i Virgili University, Spain
- affiliation (PhD 1994): Polytechnic University of Catalonia, Barcelona, Spain
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2020 – today
- 2024
[j173]Shekhar Singh Negi
, Vicenç Torra:
A note on Sugeno exponential function with respect to distortion. Appl. Math. Comput. 470: 128586 (2024)- [j172]Sonakshi Garg, Vicenç Torra:
Privacy in manifolds: Combining k-anonymity with differential privacy on Fréchet means. Comput. Secur. 144: 103983 (2024) - [j171]Fatemeh Sadjadi, Vicenç Torra, Mina Jamshidi:
Preprocessed Spectral Clustering with Higher Connectivity for Robustness in Real-World Applications. Int. J. Comput. Intell. Syst. 17(1): 86 (2024) - [j170]Kayode S. Adewole, Vicenç Torra:
Energy disaggregation risk resilience through microaggregation and discrete Fourier transform. Inf. Sci. 662: 120211 (2024) - [j169]Zuzana Ontkovicová, Vicenç Torra:
Computation of Choquet integrals: Analytical approach for continuous functions. Inf. Sci. 679: 121105 (2024) - [j168]Aso Bozorgpanah, Vicenç Torra:
Explainable machine learning models with privacy. Prog. Artif. Intell. 13(1): 31-50 (2024) - [j167]Vicenç Torra:
$\Upsilon$-Values: Power Indices à La Orness for Nonadditive Measures. IEEE Trans. Fuzzy Syst. 32(7): 4099-4108 (2024) - [c163]Sonakshi Garg, Vicenç Torra:
Task-Specific Knowledge Distillation with Differential Privacy in LLMs. ESORICS (2) 2024: 374-389 - [c162]Yasuo Narukawa, Katsushige Fujimoto, Vicenç Torra, Zuzana Ontkovicová:
The Past and Future of Fuzzy Measures and Fuzzy Integrals - -In Memory of Prof. Michio Sugeno. MDAI 2024: 3-7 - [c161]Guillermo Navarro-Arribas, Vicenç Torra:
Attribute Disclosure Risk in Smart Meter Data. PSD 2024: 274-283 - [c160]Saloni Kwatra, Vicenç Torra:
DISCOLEAF: Personalized DIScretization of COntinuous Attributes for LEArning with Federated Decision Trees. PSD 2024: 344-357 - [c159]Sonakshi Garg, Vicenç Torra:
Can Synthetic Data Preserve Manifold Properties? SEC 2024: 134-147 - [c158]Vicenç Torra:
Explainability and Privacy-Preserving Data-Driven Models. SECRYPT 2024: 5 - [e30]Vicenç Torra, Yasuo Narukawa, Hiroaki Kikuchi:
Modeling Decisions for Artificial Intelligence - 21st International Conference, MDAI 2024, Tokyo, Japan, August 27-31, 2024, Proceedings. Lecture Notes in Computer Science 14986, Springer 2024, ISBN 978-3-031-68207-0 [contents] - [i12]Ayush K. Varshney, Vicenç Torra:
Concept Drift Detection using Ensemble of Integrally Private Models. CoRR abs/2406.04903 (2024) - [i11]Ayush K. Varshney, Vicenç Torra:
Efficient Federated Unlearning under Plausible Deniability. CoRR abs/2410.09947 (2024) - 2023
- [j166]Vicenç Torra:
The transport problem for non-additive measures. Eur. J. Oper. Res. 311(2): 679-689 (2023) - [j165]Lili Jiang, Vicenç Torra:
Data Protection and Multi-Database Data-Driven Models. Future Internet 15(3): 93 (2023) - [j164]Yasuo Narukawa, Mariam Taha, Vicenç Torra:
On the definition of probabilistic metric spaces by means of fuzzy measures. Fuzzy Sets Syst. 465: 108528 (2023) - [j163]Ayush K. Varshney, Vicenç Torra:
Literature Review of the Recent Trends and Applications in Various Fuzzy Rule-Based Systems. Int. J. Fuzzy Syst. 25(6): 2163-2186 (2023) - [j162]Vicenç Torra, Guillermo Navarro-Arribas:
Attribute disclosure risk for k-anonymity: the case of numerical data. Int. J. Inf. Sec. 22(6): 2015-2024 (2023) - [j161]Vicenç Torra, Yasuo Narukawa:
Special issue on data mining and data privacy. J. Ambient Intell. Humaniz. Comput. 14(11): 14977-14978 (2023) - [j160]Masahiro Inuiguchi, Hiroki Ichida, Vicenç Torra:
Data anonymization with imprecise rules and its performance evaluations. J. Ambient Intell. Humaniz. Comput. 14(11): 15023-15035 (2023) - [j159]Navoda Senavirathne, Vicenç Torra:
Rounding based continuous data discretization for statistical disclosure control. J. Ambient Intell. Humaniz. Comput. 14(11): 15139-15157 (2023) - [j158]Vicenç Torra:
A systematic construction of non-i.i.d. data sets from a single data set: non-identically distributed data. Knowl. Inf. Syst. 65(3): 991-1003 (2023) - [j157]Vicenç Torra, Josep Domingo-Ferrer:
Data privacy: state of the art. Trans. Data Priv. 16(1): 1-2 (2023) - [j156]Yasuo Narukawa, Vicenç Torra:
Scores for Hesitant Fuzzy Sets: Aggregation Functions and Generalized Integrals. IEEE Trans. Fuzzy Syst. 31(7): 2425-2434 (2023) - [c157]Sudipta Paul, Julián Salas, Vicenç Torra:
Adding Edge Local Differential Privacy to the Dynamic Stochastic Block Model. CCIA 2023: 273-276 - [c156]Ayush K. Varshney, Vicenç Torra:
Integrally Private Model Selection for Deep Neural Networks. DEXA (2) 2023: 408-422 - [c155]Saloni Kwatra, Ayush K. Varshney, Vicenç Torra:
Integrally Private Model Selection for Support Vector Machine. ESORICS Workshops (1) 2023: 249-259 - [c154]Sargam Gupta, Vicenç Torra:
Differentially Private Traffic Flow Prediction Using Transformers: A Federated Approach. ESORICS Workshops (1) 2023: 260-271 - [c153]Mariam Taha, Vicenç Torra:
Measuring the Distance Between Machine Learning Models Using F-Space. EUSFLAT/AGOP 2023: 307-319 - [c152]Fatemeh Sadjadi, Vicenç Torra:
Joint Multiple Efficient Neighbors and Graph Learning for Multi-view Clustering. IUKM (2) 2023: 25-36 - [c151]Jozo Dujmovic, Vicenç Torra:
Logic Aggregators and Their Implementations. MDAI 2023: 3-42 - [c150]Julián Salas, Vladimiro González-Zelaya, Vicenç Torra, David Megías:
Differentially Private Graph Publishing Through Noise-Graph Addition. MDAI 2023: 253-264 - [c149]Ayush K. Varshney, Vicenç Torra:
Concept Drift Detection Using Ensemble of Integrally Private Models. PKDD/ECML Workshops (5) 2023: 290-304 - [c148]Saloni Kwatra, Vicenç Torra:
Empirical Evaluation of Synthetic Data Created by Generative Models via Attribute Inference Attack. Privacy and Identity Management 2023: 282-291 - [c147]Sonakshi Garg, Vicenç Torra:
K-Anonymous Privacy Preserving Manifold Learning. SECRYPT 2023: 37-48 - [c146]Kayode S. Adewole, Vicenç Torra:
Privacy Protection of Synthetic Smart Grid Data Simulated via Generative Adversarial Networks. SECRYPT 2023: 279-286 - [c145]Sudipta Paul, Vicenç Torra:
Δ SFL: (Decoupled Server Federated Learning) to Utilize DLG Attacks in Federated Learning by Decoupling the Server. SECRYPT 2023: 577-584 - [c144]Saloni Kwatra, Vicenç Torra:
Data Reconstruction Attack Against Principal Component Analysis. SocialSec 2023: 79-92 - [c143]Sudipta Paul, Julián Salas, Vicenç Torra:
Edge Local Differential Privacy for Dynamic Graphs. SocialSec 2023: 224-238 - [e29]Vicenç Torra, Yasuo Narukawa:
Modeling Decisions for Artificial Intelligence - 20th International Conference, MDAI 2023, Umeå, Sweden, June 19-22, 2023, Proceedings. Lecture Notes in Computer Science 13890, Springer 2023, ISBN 978-3-031-33497-9 [contents] - 2022
- [b4]Mahdi Eftekhari, Adel Mehrpooya, Farid Saberi-Movahed, Vicenç Torra:
How Fuzzy Concepts Contribute to Machine Learning. Studies in Fuzziness and Soft Computing 416, Springer 2022, ISBN 978-3-030-94065-2, pp. 1-167 - [b3]Vicenç Torra:
Guide to Data Privacy - Models, Technologies, Solutions, 3. Undergraduate Topics in Computer Science, Springer 2022, ISBN 978-3-031-12836-3, pp. 1-250 - [j155]Vicenç Torra:
(Max, ⊕)-transforms and genetic algorithms for fuzzy measure identification. Fuzzy Sets Syst. 451: 253-265 (2022) - [j154]Ezgi Türkarslan, Vicenç Torra:
Measure Identification for the Choquet Integral: A Python Module. Int. J. Comput. Intell. Syst. 15(1): 89 (2022) - [j153]Kayode S. Adewole, Vicenç Torra:
DFTMicroagg: a dual-level anonymization algorithm for smart grid data. Int. J. Inf. Sec. 21(6): 1299-1321 (2022) - [j152]Vicenç Torra, Edgar Galván, Guillermo Navarro-Arribas:
PSO + FL = PAASO: particle swarm optimization + federated learning = privacy-aware agent swarm optimization. Int. J. Inf. Sec. 21(6): 1349-1359 (2022) - [j151]Vicenç Torra, Yasuo Narukawa:
Preface: Fuzziness and Uncertainty in Data Mining. Int. J. Uncertain. Fuzziness Knowl. Based Syst. 30(Supplement-2) (2022) - [c142]Kayode Sakariyah Adewole, Vicenç Torra:
Privacy Issues in Smart Grid Data: From Energy Disaggregation to Disclosure Risk. DEXA (1) 2022: 71-84 - [c141]Julián Salas, Vicenç Torra, David Megías:
Towards Measuring Fairness for Local Differential Privacy. DPM/CBT@ESORICS 2022: 19-34 - [c140]Ayush K. Varshney, Vicenç Torra:
Designing Distributed Chi-Fuzzy Rule based Classification System. FUZZ-IEEE 2022: 1-7 - [c139]Lili Jiang, Vicenç Torra:
On the Effects of Data Protection on Multi-database Data-Driven Models. IUKM 2022: 226-238 - [c138]Vicenç Torra:
Towards Integrally Private Clustering: Overlapping Clusters for High Privacy Guarantees. PSD 2022: 62-73 - [e28]Vicenç Torra, Yasuo Narukawa:
Modeling Decisions for Artificial Intelligence - 19th International Conference, MDAI 2022, Sant Cugat, Spain, August 30 - September 2, 2022, Proceedings. Lecture Notes in Computer Science 13408, Springer 2022, ISBN 978-3-031-13447-0 [contents] - [i10]Ayush K. Varshney, Vicenç Torra:
Literature Review of various Fuzzy Rule based Systems. CoRR abs/2209.07175 (2022) - [i9]Vicenç Torra:
The transport problem for non-additive measures. CoRR abs/2211.12150 (2022) - 2021
- [j150]Mirco Nanni, Gennady L. Andrienko, Albert-László Barabási, Chiara Boldrini, Francesco Bonchi, Ciro Cattuto, Francesca Chiaromonte, Giovanni Comandè, Marco Conti, Mark Coté, Frank Dignum, Virginia Dignum, Josep Domingo-Ferrer, Paolo Ferragina, Fosca Giannotti, Riccardo Guidotti, Dirk Helbing, Kimmo Kaski, János Kertész, Sune Lehmann, Bruno Lepri, Paul Lukowicz, Stan Matwin, David Megías Jiménez, Anna Monreale, Katharina Morik, Nuria Oliver, Andrea Passarella, Andrea Passerini, Dino Pedreschi, Alex Pentland, Fabio Pianesi, Francesca Pratesi, Salvatore Rinzivillo, Salvatore Ruggieri, Arno Siebes, Vicenç Torra, Roberto Trasarti, Jeroen van den Hoven, Alessandro Vespignani:
Give more data, awareness and control to individual citizens, and they will help COVID-19 containment. Ethics Inf. Technol. 23(S1): 1-6 (2021) - [j149]Vicenç Torra:
Andness directedness for operators of the OWA and WOWA families. Fuzzy Sets Syst. 414: 28-37 (2021) - [j148]Jozo Dujmovic, Vicenç Torra:
Properties and comparison of andness-characterized aggregators. Int. J. Intell. Syst. 36(3): 1366-1385 (2021) - [j147]Takuya Fukushima, Tomoharu Nakashima, Taku Hasegawa, Vicenç Torra:
Optimal Value Estimation of Intentional-Value-Substitution for Learning Regression Models. J. Adv. Comput. Intell. Intell. Informatics 25(2): 153-161 (2021) - [j146]Vicenç Torra, Mariam Taha, Guillermo Navarro-Arribas:
The space of models in machine learning: using Markov chains to model transitions. Prog. Artif. Intell. 10(3): 321-332 (2021) - [j145]Edgar Galván, Joaquín García-Alfaro, Guillermo Navarro-Arribas, Vicenç Torra:
Agents in a privacy-preserving world. Trans. Data Priv. 14(1): 53-63 (2021) - [c137]Navoda Senavirathne, Vicenç Torra:
Dissecting Membership Inference Risk in Machine Learning. CSS 2021: 36-54 - [c136]Saloni Kwatra, Vicenç Torra:
A k-Anonymised Federated Learning Framework with Decision Trees. DPM/CBT@ESORICS 2021: 106-120 - [c135]Saloni Kwatra, Vicenç Torra:
A Survey on Tree Aggregation. FUZZ-IEEE 2021: 1-6 - [c134]Yasuo Narukawa, Vicenç Torra:
An score index for hesitant fuzzy sets based on the Choquet integral. FUZZ-IEEE 2021: 1-5 - [c133]Noel Hendrick, Vicenç Torra:
Genetic Algorithms in Data Masking: Towards Privacy as a Service. ICAISC (1) 2021: 381-391 - [c132]Navoda Senavirathne, Vicenç Torra:
Systematic Evaluation of Probabilistic k-Anonymity for Privacy Preserving Micro-data Publishing and Analysis. SECRYPT 2021: 307-320 - [e27]Vicenç Torra, Yasuo Narukawa:
Modeling Decisions for Artificial Intelligence - 18th International Conference, MDAI 2021, Umeå, Sweden, September 27-30, 2021, Proceedings. Lecture Notes in Computer Science 12898, Springer 2021, ISBN 978-3-030-85528-4 [contents] - 2020
- [j144]Vicenç Torra:
Random dictatorship for privacy-preserving social choice. Int. J. Inf. Sec. 19(5): 537-545 (2020) - [j143]Vicenç Torra, Yasuo Narukawa, Michio Sugeno:
On the f-divergence for discrete non-additive measures. Inf. Sci. 512: 50-63 (2020) - [j142]Vicenç Torra:
Fuzzy clustering-based microaggregation to achieve probabilistic k-anonymity for data with constraints. J. Intell. Fuzzy Syst. 39(5): 5999-6008 (2020) - [j141]Julián Salas, David Megías, Vicenç Torra, Marina Toger, Joel Dahne, Raazesh Sainudiin:
Swapping trajectories with a sufficient sanitizer. Pattern Recognit. Lett. 131: 474-480 (2020) - [j140]Mirco Nanni, Gennady L. Andrienko, Albert-László Barabási, Chiara Boldrini, Francesco Bonchi, Ciro Cattuto, Francesca Chiaromonte, Giovanni Comandè, Marco Conti, Mark Coté, Frank Dignum, Virginia Dignum, Josep Domingo-Ferrer, Paolo Ferragina, Fosca Giannotti, Riccardo Guidotti, Dirk Helbing, Kimmo Kaski, János Kertész, Sune Lehmann, Bruno Lepri, Paul Lukowicz, Stan Matwin, David Megías, Anna Monreale, Katharina Morik, Nuria Oliver, Andrea Passarella, Andrea Passerini, Dino Pedreschi, Alex Pentland, Fabio Pianesi, Francesca Pratesi, Salvatore Rinzivillo, Salvatore Ruggieri, Arno Siebes, Vicenç Torra, Roberto Trasarti, Jeroen van den Hoven, Alessandro Vespignani:
Give more data, awareness and control to individual citizens, and they will help COVID-19 containment. Trans. Data Priv. 13(1): 61-66 (2020) - [c131]Julián Salas, Vicenç Torra:
Differentially Private Graph Publishing and Randomized Response for Collaborative Filtering. ICETE (2) 2020: 415-422 - [c130]Sema Kayapinar Kaya, Guillermo Navarro-Arribas, Vicenç Torra:
Dynamic Features Spaces and Machine Learning: Open Problems and Synthetic Data Sets. IUKM 2020: 125-136 - [c129]Vicenç Torra, Guillermo Navarro-Arribas, Edgar Galván:
Explaining Recurrent Machine Learning Models: Integral Privacy Revisited. PSD 2020: 62-73 - [c128]Takuya Fukushima, Tomoharu Nakashima, Vicenç Torra:
Team Classification with Tactical Analysis Using Fuzzy Inference in RoboCup Soccer. SCIS/ISIS 2020: 1-6 - [c127]Navoda Senavirathne, Vicenç Torra:
On the Role of Data Anonymization in Machine Learning Privacy. TrustCom 2020: 664-675 - [e26]Vicenç Torra, Yasuo Narukawa, Jordi Nin, Núria Agell:
Modeling Decisions for Artificial Intelligence - 17th International Conference, MDAI 2020, Sant Cugat, Spain, September 2-4, 2020, Proceedings. Lecture Notes in Computer Science 12256, Springer 2020, ISBN 978-3-030-57523-6 [contents]
2010 – 2019
- 2019
- [j139]Navoda Senavirathne, Vicenç Torra:
Integrally private model selection for decision trees. Comput. Secur. 83: 167-181 (2019) - [j138]Radomír Halas, Radko Mesiar, Jozef Pócs, Vicenç Torra:
A note on some algebraic properties of discrete Sugeno integrals. Fuzzy Sets Syst. 355: 110-120 (2019) - [j137]Emran Saleh, Aïda Valls, Antonio Moreno, Pedro Romero-Aroca, Humberto Bustince, Vicenç Torra:
A Hierarchically ⊥-Decomposable Fuzzy Measure-Based Approach for Fuzzy Rules Aggregation. Int. J. Uncertain. Fuzziness Knowl. Based Syst. 27(Supplement-1): 59-76 (2019) - [j136]Vicenç Torra, Yasuo Narukawa:
Foreword: Tools for Decision Making under Vagueness. Int. J. Uncertain. Fuzziness Knowl. Based Syst. 27(Supplement-1) (2019) - [j135]Vicenç Torra, Navoda Senavirathne:
Maximal c consensus meets. Inf. Fusion 51: 58-66 (2019) - [j134]Vicenç Torra, Yasuo Narukawa:
On network analysis using non-additive integrals: extending the game-theoretic network centrality. Soft Comput. 23(7): 2321-2329 (2019) - [c126]Navoda Senavirathne, Vicenç Torra:
Integral Privacy Compliant Statistics Computation. DPM/CBT@ESORICS 2019: 22-38 - [c125]Vicenç Torra, Julián Salas:
Graph Perturbation as Noise Graph Addition: A New Perspective for Graph Anonymization. DPM/CBT@ESORICS 2019: 121-137 - [c124]Aranzazu Jurio, Humberto Bustince, Vicenç Torra:
Managing the doubt in fuzzy clustering by means of interval-valued fuzzy sets. FUZZ-IEEE 2019: 1-6 - [c123]Vicenç Torra, Joaquín García-Alfaro:
Towards an Adaptive Defuzzification: Using Numerical Choquet Integral. MDAI 2019: 113-125 - [c122]Yasuo Narukawa, Vicenç Torra:
Derivative for Discrete Choquet Integrals. MDAI 2019: 138-147 - [p18]Alan Said, Vicenç Torra:
Data Science: An Introduction. Data Science in Practice 2019: 1-6 - [p17]Vicenç Torra, Alexander Karlsson, H. Joe Steinhauer, Stefan Berglund:
Artificial Intelligence. Data Science in Practice 2019: 9-26 - [p16]Vicenç Torra, Guillermo Navarro-Arribas, Klara Stokes:
Data Privacy. Data Science in Practice 2019: 121-132 - [p15]Juhee Bae, Alexander Karlsson, Jonas Mellin, Niclas Ståhl, Vicenç Torra:
Complex Data Analysis. Data Science in Practice 2019: 157-169 - [e25]Alan Said, Vicenç Torra:
Data Science in Practice. Studies in Big Data 46, Springer 2019, ISBN 978-3-319-97555-9 [contents] - [e24]Jordi Sabater-Mir, Vicenç Torra, Isabel Aguiló, Manuel González Hidalgo:
Artificial Intelligence Research and Development - Proceedings of the 22nd International Conference of the Catalan Association for Artificial Intelligence, CCIA 2019, Mallorca, Spain, 23-25 October 2019. Frontiers in Artificial Intelligence and Applications 319, IOS Press 2019, ISBN 978-1-64368-014-9 [contents] - [e23]Vicenç Torra, Yasuo Narukawa, Gabriella Pasi, Marco Viviani:
Modeling Decisions for Artificial Intelligence - 16th International Conference, MDAI 2019, Milan, Italy, September 4-6, 2019, Proceedings. Lecture Notes in Computer Science 11676, Springer 2019, ISBN 978-3-030-26772-8 [contents] - [i8]Michel Barbeau, Georg Carle, Joaquín García-Alfaro, Vicenç Torra:
Next Generation Resilient Cyber-Physical Systems. CoRR abs/1907.08849 (2019) - 2018
- [j133]Vicenç Torra, Annie Jonsson, Guillermo Navarro-Arribas, Julián Salas:
Synthetic generation of spatial graphs. Int. J. Intell. Syst. 33(12): 2364-2378 (2018) - [j132]José Carlos R. Alcantud, Vicenç Torra:
Decomposition theorems and extension principles for hesitant fuzzy sets. Inf. Fusion 41: 48-56 (2018) - [j131]Vicenç Torra, Montserrat Guillen, Miguel Santolino:
Continuous m-dimensional distorted probabilities. Inf. Fusion 44: 97-102 (2018) - [c121]Vicenç Torra:
On the Analysis of Utility and Risk for Masked Data in Big Data: A Small Data Analysis. CCIA 2018: 200-209 - [c120]Julián Salas, Vicenç Torra:
A General Algorithm for k-anonymity on Dynamic Databases. DPM/CBT@ESORICS 2018: 407-414 - [c119]Vicenç Torra, Guillermo Navarro-Arribas:
Probabilistic Metric Spaces for Privacy by Design Machine Learning Algorithms: Modeling Database Changes. DPM/CBT@ESORICS 2018: 422-430 - [c118]Emran Saleh, Aïda Valls, Antonio Moreno, Pedro Romero-Aroca, Vicenç Torra, Humberto Bustince:
Learning Fuzzy Measures for Aggregation in Fuzzy Rule-Based Models. MDAI 2018: 114-127 - [c117]Julián Salas, David Megías, Vicenç Torra:
SwapMob: Swapping Trajectories for Mobility Anonymization. PSD 2018: 331-346 - [c116]Navoda Senavirathne, Vicenç Torra:
Approximating Robust Linear Regression With An Integral Privacy Guarantee. PST 2018: 1-10 - [e22]Vicenç Torra, Radko Mesiar, Bernard De Baets:
Aggregation Functions in Theory and in Practice, 9th International Summer School on Aggregation Functions, Skövde, Sweden, 19-22 June 2017. Advances in Intelligent Systems and Computing 581, Springer 2018, ISBN 978-3-319-59305-0 [contents] - [e21]Vicenç Torra, Yasuo Narukawa, Isabel Aguiló, Manuel González Hidalgo:
Modeling Decisions for Artificial Intelligence - 15th International Conference, MDAI 2018, Mallorca, Spain, October 15-18, 2018, Proceedings. Lecture Notes in Computer Science 11144, Springer 2018, ISBN 978-3-030-00201-5 [contents] - 2017
- [j130]Jordi Casas-Roma, Jordi Herrera-Joancomartí, Vicenç Torra:
A survey of graph-modification techniques for privacy-preserving on networks. Artif. Intell. Rev. 47(3): 341-366 (2017) - [j129]Vicenç Torra:
Entropy for non-additive measures in continuous domains. Fuzzy Sets Syst. 324: 49-59 (2017) - [j128]