Projects funded by the NCN

Information on the principal investigator and host institution

Information of the project and the call

Keywords

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Decision support systems responding to the challenges of the new era

2019/34/E/HS4/00045

Keywords:

intelligent decision support systems multiple criteria decision aiding multiple criteria decision making decision support systems multi-criteria methods operational research management science group decision and negotiation analysis of preferences preference modeling data envelopment analysis optimization efficiency analysis holistic methods preference disaggregation robustness interactive methods

Descriptors:

  • HS4_003:
  • HS4_016:
  • ST6_007:

Panel:

HS4 - Individuals, institutions, markets: economics, finance, management, demography, social and economic geography, urban studies

Host institution :

Politechnika Poznańska, Wydział Informatyki i Telekomunikacji

woj. wielkopolskie

Other projects carried out by the institution 

Principal investigator (from the host institution):

dr hab. Miłosz Dariusz Kadziński 

Number of co-investigators in the project: 5

Call: SONATA BIS 9 - announced on 2019-06-17

Amount awarded: 1 364 860 PLN

Project start date (Y-m-d): 2020-03-27

Project end date (Y-m-d): 2026-03-26

Project duration:: 72 months (the same as in the proposal)

Project status: Pending project

Project description

Download the project description in a pdf file

Note - project descriptions were prepared by the authors of the applications themselves and placed in the system in an unchanged form.

Information in the final report

  • Publication in academic press/journals (40)
  • Articles in post-conference publications (10)
  • Book publications / chapters in book publications (4)
  1. Performance evaluation of emergency department physicians using robust value-based additive efficiency model
    Authors:
    Anna Labijak-Kowalska, Miłosz Kadziński, Inga Spychała, Luis C. Dias, Javier Fiallos, Jonathan Patrick, Wojtek Michalowski, Ken Farion
    Academic press:
    International Transactions in Operational Research (rok: 2023, tom: 30, strony: 503-544), Wydawca: Wiley
    Status:
    Published
    DOI:
    10.1111/itor.13099 - link to the publication
  2. A preference learning framework for multiple criteria sorting with diverse additive value models and valued assignment examples
    Authors:
    Jiapeng Liu, Miłosz Kadziński, Xiuwu Liao, Xiaoxin Mao, Yao Wang
    Academic press:
    European Journal of Operational Research (rok: 2020, tom: 286(3), strony: 963-985), Wydawca: Elsevier
    Status:
    Published
    DOI:
    10.1016/j.ejor.2020.04.013 - link to the publication
  3. Evolutionary algorithms for solving single- and multiple-objective political redistricting problems: The case study of Poland
    Authors:
    Michał K. Tomczyk, Miłosz Kadziński
    Academic press:
    Applied Soft Computing (rok: 2024, tom: 152, strony: 111258), Wydawca: Elsevier
    Status:
    Published
    DOI:
    10.1016/j.asoc.2024.111258 - link to the publication
  4. Interactive co-evolutionary multiple objective optimization algorithms for finding consensus solutions for a group of Decision Makers
    Authors:
    Michał K. Tomczyk, Miłosz Kadziński
    Academic press:
    Information Sciences (rok: 2022, tom: 616, strony: 157-181), Wydawca: Elsevier
    Status:
    Published
    DOI:
    10.064 - link to the publication
  5. Beyond the Arbitrariness of Drug-Likeness Rules: Rough Set Theory and Decision Rules in the Service of Drug Design
    Authors:
    Grzegorz Miebs, Adam Mielniczuk, Miłosz Kadziński, Rafał A. Bachorz
    Academic press:
    Applied Sciences (rok: 2024, tom: 14(21), strony: 9966), Wydawca: MDPI
    Status:
    Published
    DOI:
    10.3390/app14219966 - link to the publication
  6. Stepwise benchmarking for multiple criteria sorting
    Authors:
    Miłosz Kadziński, Mladen Stamenković, Maciej Uniejewski
    Academic press:
    Omega (rok: 2022, tom: 108, strony: 102579-1-102579-19), Wydawca: Elsevier
    Status:
    Published
    DOI:
    10.1016/j.omega.2021.102579 - link to the publication
  7. Bayesian ordinal regression for multiple criteria choice and ranking
    Authors:
    Zice Ru, Jiapeng Liu, Miłosz Kadziński, Xiuwu Liao
    Academic press:
    European Journal of Operational Research (rok: 2022, tom: 299(2), strony: 600-620), Wydawca: Elsevier
    Status:
    Published
    DOI:
    10.1016/j.ejor.2021.09.028 - link to the publication
  8. Modeling Contingent Decision Behavior: A Bayesian Nonparametric Preference-Learning Approach
    Authors:
    Jiapeng Liu, Miłosz Kadziński, Xiuwu Liao
    Academic press:
    INFORMS Journal on Computing (rok: 2023, tom: 35(4), strony: 764-785), Wydawca: INFORMS
    Status:
    Published
    DOI:
    10.1287/ijoc.2023.1292 - link to the publication
  9. Deep preference learning for multiple criteria decision analysis
    Authors:
    Krzysztof Martyn, Miłosz Kadziński
    Academic press:
    European Journal of Operational Research (rok: 2023, tom: 305, strony: 781-805), Wydawca: Elsevier
    Status:
    Published
    DOI:
    10.1016/j.ejor.2022.06.053 - link to the publication
  10. Heuristic algorithms for aggregation of incomplete rankings in multiple criteria group decision making
    Authors:
    Grzegorz Miebs, Miłosz Kadziński
    Academic press:
    Information Sciences (rok: 2021, tom: 560, strony: 107-136), Wydawca: Elsevier
    Status:
    Published
    DOI:
    10.1016/j.ins.2021.01.055 - link to the publication
  11. Preference disaggregation method for value-based multi-decision sorting problems with a real-world application in nanotechnology
    Authors:
    Miłosz Kadziński, Krzysztof Martyn, Marco Cinelli, Roman Słowiński, Salvatore Corrente, Salvatore Greco
    Academic press:
    Knowledge-Based Systems (rok: 2021, tom: 218, strony: 106879-1 - 106879-22), Wydawca: Elsevier
    Status:
    Published
    DOI:
    10.1016/j.knosys.2021.106879 - link to the publication
  12. Supporting contaminated sites management with Multiple Criteria Decision Analysis: Demonstration of a regulation-consistent approach
    Authors:
    Marco Cinelli, Michael A. Gonzalez, Robert Ford, John McKernan, Salvatore Corrente, Miłosz Kadziński, Roman Słowiński
    Academic press:
    Journal of Cleaner Production (rok: 2021, tom: 316, strony: 128347-1 - 128347-10), Wydawca: Elsevier
    Status:
    Published
    DOI:
    10.1016/j.jclepro.2021.128347 - link to the publication
  13. A multiple criteria Bayesian hierarchical model for analyzing heterogeneous consumer preferences
    Authors:
    Jiapeng Liu, Yan Wang, Miłosz Kadziński, Xiaoxin Mao, Yuan Rao
    Academic press:
    Omega (rok: 2024, tom: 128, strony: 103113), Wydawca: Elsevier
    Status:
    Published
    DOI:
    10.1016/j.omega.2024.103113 - link to the publication
  14. Attaining robust performance targets in data envelopment analysis with application to efficiency evaluation of airports
    Authors:
    Dariusz Grynia, Miłosz Kadziński, Mladen Stamenković
    Academic press:
    Computers & Industrial Engineering (rok: 2024, tom: 190, strony: 110065), Wydawca: Elsevier
    Status:
    Published
    DOI:
    10.1016/j.cie.2024.110065 - link to the publication
  15. Exact and stochastic methods for robustness analysis in the context of Imprecise Data Envelopment Analysis
    Authors:
    Anna Labijak-Kowalska, Miłosz Kadziński
    Academic press:
    Operational Research (rok: 2023, tom: 23(1), strony: 22), Wydawca: Springer
    Status:
    Published
    DOI:
    10.1007/s12351-023-00755-z - link to the publication
  16. Exact and stochastic methods for robustness analysis in the context of Imprecise Data Envelopment Analysis
    Authors:
    Anna Labijak-Kowalska, Miłosz Kadziński
    Academic press:
    Operational Research (rok: 2023, tom: 23(1), strony: 22), Wydawca: Springer
    Status:
    Published
    DOI:
    10.1007/s12351-023-00755-z - link to the publication
  17. Stepwise benchmarking for multiple criteria sorting
    Authors:
    Miłosz Kadziński, Mladen Stamenković, Maciej Uniejewski
    Academic press:
    Omega (rok: 2022, tom: 108, strony: 102579-1-102579-19), Wydawca: Elsevier
    Status:
    Published
    DOI:
    10.1016/j.omega.2021.102579 - link to the publication
  18. Robustness analysis for imprecise additive value efficiency analysis with an application to evaluation of special economic zones in Poland
    Authors:
    Anna Labijak-Kowalska, Miłosz Kadziński, Luis C. Dias
    Academic press:
    Socio-Economic Planning Sciences (rok: 2024, tom: 92, strony: 101813), Wydawca: Elsevier
    Status:
    Published
    DOI:
    10.1016/j.seps.2024.101813 - link to the publication
  19. Outranking-based approaches for multiple criteria partially ordered clustering: A review of existing algorithms, new proposals, and experimental comparison
    Authors:
    Dariusz Grynia, Klaudia Dobrogojska, Miłosz Kadziński
    Academic press:
    Information Sciences (rok: 2024, tom: 678, strony: 121014), Wydawca: Elsevier
    Status:
    Published
    DOI:
    10.1016/j.ins.2024.121014 - link to the publication
  20. Modeling Contingent Decision Behavior: A Bayesian Nonparametric Preference-Learning Approach
    Authors:
    Jiapeng Liu, Miłosz Kadziński, Xiuwu Liao
    Academic press:
    INFORMS Journal on Computing (rok: 2023, tom: 35(4), strony: 764-785), Wydawca: INFORMS
    Status:
    Published
    DOI:
    10.1287/ijoc.2023.1292 - link to the publication
  21. robustDEA: A Java library for robust efficiency analysis
    Authors:
    Anna Labijak-Kowalska, Miłosz Kadziński
    Academic press:
    SoftwareX (rok: 2024, tom: 26, strony: 101749), Wydawca: Elsevier
    Status:
    Published
    DOI:
    10.1016/j.softx.2024.101749 - link to the publication
  22. Understanding the drivers of Urban Development Agreements with the rough set approach and robust decision rules
    Authors:
    Alessandra Oppio, Marta Dell'Ovo, Francesca Torrieri, Grzegorz Miebs, Miłosz Kadziński
    Academic press:
    Land Use Policy (rok: 2020, tom: 96, strony: 104678-1 - 104678-17), Wydawca: Elsevier
    Status:
    Published
    DOI:
    10.1016/j.landusepol.2020.104678 - link to the publication
  23. Experimental comparison of results provided by ranking methods in Data Envelopment Analysis
    Authors:
    Anna Labijak-Kowalska, Miłosz Kadziński
    Academic press:
    Expert Systems with Applications (rok: 2021, tom: 173, strony: 114739-1 - 114739-21), Wydawca: Elsevier
    Status:
    Published
    DOI:
    10.1016/j.eswa.2021.114739 - link to the publication
  24. Decomposition-based co-evolutionary algorithm for interactive multiple objective optimization
    Authors:
    Michał K. Tomczyk, Miłosz Kadziński
    Academic press:
    Information Sciences (rok: 2021, tom: 549, strony: 178-199), Wydawca: Elsevier
    Status:
    Published
    DOI:
    10.1016/j.ins.2020.11.030 - link to the publication
  25. Enriched preference modeling and robustness analysis for the ELECTRE Tri-B method
    Authors:
    Miłosz Kadziński, Magdalena Martyn
    Academic press:
    Annals of Operations Research (rok: 2021, tom: 306, strony: 173–207), Wydawca: Springer
    Status:
    Published
    DOI:
    10.1007/s10479-020-03833-z - link to the publication
  26. Proper and improper uses of MCDA methods in energy systems analysis
    Authors:
    Marco Cinelli, Peter Burgherr, Miłosz Kadziński, Roman Słowiński
    Academic press:
    Decision Support Systems (rok: 2022, tom: 163, strony: 113848), Wydawca: Elsevier
    Status:
    Published
    DOI:
    10.1016/j.dss.2022.113848 - link to the publication
  27. Recommending multiple criteria decision analysis methods with a new taxonomy-based decision support system
    Authors:
    Marco Cinelli, Miłosz Kadziński, Grzegorz Miebs, Michael Gonzalez, Roman Słowiński
    Academic press:
    European Journal of Operational Research (rok: 2022, tom: 12,5847222222222, strony: 633-651), Wydawca: Elsevier
    Status:
    Published
    DOI:
    10.1016/j.ejor.2022.01.011 - link to the publication
  28. Bayesian ordinal regression for multiple criteria choice and ranking
    Authors:
    Zice Ru, Jiapeng Liu, Miłosz Kadziński, Xiuwu Liao
    Academic press:
    European Journal of Operational Research (rok: 2022, tom: 299(2), strony: 600-620), Wydawca: Elsevier
    Status:
    Published
    DOI:
    10.1016/j.ejor.2021.09.028 - link to the publication
  29. An active preference learning approach to aid the selection of validators in blockchain environments
    Authors:
    Jonas Gehrlein, Grzegorz Miebs, Matteo Brunelli, Miłosz Kadziński
    Academic press:
    Omega (rok: 2023, tom: 118, strony: 102869), Wydawca: Elsevier
    Status:
    Published
    DOI:
    10.1016/j.omega.2023.102869 - link to the publication
  30. Probabilistic ordinal regression methods for multiple criteria sorting admitting certain and uncertain preferences
    Authors:
    Zice Ru, Jiapeng Liu, Miłosz Kadziński, Xiuwu Liao
    Academic press:
    European Journal of Operational Research (rok: 2023, tom: 311(2), strony: 596-616), Wydawca: Elsevier
    Status:
    Published
    DOI:
    10.1016/j.ejor.2023.05.007 - link to the publication
  31. Polyrun: A Java library for sampling from the bounded convex polytopes
    Authors:
    Krzysztof Ciomek, Miłosz Kadziński
    Academic press:
    SoftwareX (rok: 2021, tom: 13, strony: 100659-1 - 100659-6), Wydawca: Elsevier
    Status:
    Published
    DOI:
    10.1016/j.softx.2021.100659 - link to the publication
  32. Robust Additive Value-Based Efficiency Analysis with a Hierarchical Structure of Inputs and Outputs
    Authors:
    Anna Labijak-Kowalska, Miłosz Kadziński, Weronika Mrozek
    Academic press:
    Applied Sciences (rok: 2023, tom: 13(11), strony: 6406), Wydawca: MDPI
    Status:
    Published
    DOI:
    10.3390/app13116406 - link to the publication
  33. Quantifying Electricity Supply Resilience of Countries with Robust Efficiency Analysis
    Authors:
    Patrick Gasser, Marco Cinelli, Anna Labijak, Matteo Spada, Peter Burgherr, Miłosz Kadziński, Božidar Stojadinović
    Academic press:
    Energies (rok: 2020, tom: 13(7), strony: 1535-1 - 1535-35), Wydawca: MDPI
    Status:
    Published
    DOI:
    10.3390/en13071535 - link to the publication
  34. Review and experimental comparison of ranking and choice procedures for constructing a univocal recommendation in a preference disaggregation setting
    Authors:
    Miłosz Kadziński, Michał Wójcik, Krzysztof Ciomek
    Academic press:
    Omega (rok: 2022, tom: 113, strony: 102715), Wydawca: Elsevier
    Status:
    Published
    DOI:
    10.1016/j.omega.2022.102715 - link to the publication
  35. Selection of a representative sorting model in a preference disaggregation setting: A review of existing procedures, new proposals, and experimental comparison
    Authors:
    Michał Wójcik, Miłosz Kadziński, Krzysztof Ciomek
    Academic press:
    Knowledge-Based Systems (rok: 2023, tom: 278, strony: 110871), Wydawca: Elsevier
    Status:
    Published
    DOI:
    10.1016/j.knosys.2023.110871 - link to the publication
  36. Active learning strategies for interactive elicitation of assignment examples for threshold-based multiple criteria sorting
    Authors:
    Miłosz Kadziński, Krzysztof Ciomek
    Academic press:
    European Journal of Operational Research (rok: 2021, tom: 293(2), strony: 658-680), Wydawca: Elsevier
    Status:
    Published
    DOI:
    10.1016/j.ejor.2020.12.055 - link to the publication
  37. Learning the parameters of an outranking-based sorting model with characteristic class profiles from large sets of assignment examples
    Authors:
    Miłosz Kadziński, Adam Szczepański
    Academic press:
    Applied Soft Computing (rok: 2022, tom: 116, strony: 108312-1-108312-19), Wydawca: Elsevier
    Status:
    Published
    DOI:
    10.1016/j.asoc.2021.108312 - link to the publication
  38. Active learning strategies for interactive elicitation of assignment examples for threshold-based multiple criteria sorting
    Authors:
    Miłosz Kadziński, Krzysztof Ciomek
    Academic press:
    European Journal of Operational Research (rok: 2021, tom: 293(2), strony: 658-680), Wydawca: Elsevier
    Status:
    Published
    DOI:
    10.1016/j.ejor.2020.12.055 - link to the publication
  39. Learning the parameters of an outranking-based sorting model with characteristic class profiles from large sets of assignment examples
    Authors:
    Miłosz Kadziński, Adam Szczepański
    Academic press:
    Applied Soft Computing (rok: 2022, tom: 116, strony: 108312-1-108312-19), Wydawca: Elsevier
    Status:
    Published
    DOI:
    10.1016/j.asoc.2021.108312 - link to the publication
  40. Understanding the drivers of Urban Development Agreements with the rough set approach and robust decision rules
    Authors:
    Alessandra Oppio, Marta Dell'Ovo, Francesca Torrieri, Grzegorz Miebs, Miłosz Kadziński
    Academic press:
    Land Use Policy (rok: 2020, tom: 96, strony: 104678-1 - 104678-17), Wydawca: Elsevier
    Status:
    Published
    DOI:
    10.1016/j.landusepol.2020.104678 - link to the publication
  1. Interactive tool for visualizing the comprehensive performance of evolutionary multi-objective algorithms applied to problems with two or three objectives
    Authors:
    Michał Tomczyk, Miłosz Kadziński
    Conference:
    GECCO'24 Companion: Proceedings of the Companion Conference on Genetic and Evolutionary Computation (rok: 2024, tom: GECCO'24, strony: 375-378), Wydawca: Association for Computing Machinery
    Data:
    konferencja 14-18 lipca 2024
    Status:
    Published
    DOI:
    10.1145/3638530.3654237 - link to the publication
  2. Metaphor-based algorithms for learning the preference model parameters of FlowSort from large sets of assignment examples
    Authors:
    Adam Handke, Damian Jóźwiak, Piotr Kamiński, Michał Wiśniewski, Miłosz Kadziński
    Conference:
    GECCO'23 Companion: Proceedings of the Companion Conference on Genetic and Evolutionary Computation (rok: 2023, tom: GECCO'23, strony: 283-286), Wydawca: Association for Computing Machinery
    Data:
    konferencja 15-19 lipca 2023
    Status:
    Published
    DOI:
    10.1145/3583133.3590530 - link to the publication
  3. On the elicitation of indirect preferences in interactive evolutionary multiple objective optimization
    Authors:
    Michał K. Tomczyk, Miłosz Kadziński
    Conference:
    GECCO '20 : Proceedings of the 2020 Genetic and Evolutionary Computation Conference (rok: 2020, tom: GECOO'20, strony: 569-577), Wydawca: Association for Computing Machinery
    Data:
    konferencja 8-12 lipca 2020
    Status:
    Published
    DOI:
    10.1145/3377930.3389826 - link to the publication
  4. On the elicitation of indirect preferences in interactive evolutionary multiple objective optimization
    Authors:
    Michał K. Tomczyk, Miłosz Kadziński
    Conference:
    GECCO '20 : Proceedings of the 2020 Genetic and Evolutionary Computation Conference (rok: 2020, tom: GECOO'20, strony: 569-577), Wydawca: Association for Computing Machinery
    Data:
    konferencja 8-12 lipca 2020
    Status:
    Published
    DOI:
    10.1145/3377930.3389826 - link to the publication
  5. Interactive evolutionary multiple objective optimization algorithm using a fast calculation of holistic acceptabilities
    Authors:
    Michał K. Tomczyk, Miłosz Kadziński
    Conference:
    GECCO '21 : Proceedings of the 2021 Genetic and Evolutionary Computation Conference (rok: 2021, tom: GECCO'21, strony: 476-484), Wydawca: Association for Computing Machinery
    Data:
    konferencja 10-14 lipca 2021
    Status:
    Published
    DOI:
    10.1145/3449639.3459294 - link to the publication
  6. Metaphor-based algorithms for learning the preference model parameters of FlowSort from large sets of assignment examples
    Authors:
    Adam Handke, Damian Jóźwiak, Piotr Kamiński, Michał Wiśniewski, Miłosz Kadziński
    Conference:
    GECCO'23 Companion: Proceedings of the Companion Conference on Genetic and Evolutionary Computation (rok: 2023, tom: GECCO'23, strony: 283-286), Wydawca: Association for Computing Machinery
    Data:
    konferencja 15-19 lipca 2023
    Status:
    Published
    DOI:
    10.1145/3583133.3590530 - link to the publication
  7. Co-evolution improves the efficiency of preference learning methods when the Decision Maker's aspirations develop over time
    Authors:
    Michał K. Tomczyk, Miłosz Kadziński
    Conference:
    GECCO'23: Proceedings of the Genetic and Evolutionary Computation Conference (rok: 2023, tom: GECCO'23, strony: 759-767), Wydawca: Association for Computing Machinery
    Data:
    konferencja 15-19 lipca 2023
    Status:
    Published
    DOI:
    10.1145/3583131.3590348 - link to the publication
  8. Nature-inspired Preference Learning Algorithms Using the Choquet Integral
    Authors:
    Michał Wójcik, Miłosz Kadziński
    Conference:
    GECCO'24: Proceedings of the Genetic and Evolutionary Computation Conference (rok: 2024, tom: GECCO'24, strony: 440-448), Wydawca: Association for Computing Machinery
    Data:
    konferencja 14-18 lipca 2024
    Status:
    Published
    DOI:
    10.1145/3638529.36540 - link to the publication
  9. Co-evolution improves the efficiency of preference learning methods when the Decision Maker's aspirations develop over time
    Authors:
    Michał K. Tomczyk, Miłosz Kadziński
    Conference:
    GECCO'23: Proceedings of the Genetic and Evolutionary Computation Conference (rok: 2023, tom: GECCO'23, strony: 759-767), Wydawca: Association for Computing Machinery
    Data:
    konferencja 15-19 lipca 2023
    Status:
    Published
    DOI:
    10.1145/3583131.3590348 - link to the publication
  10. Interactive evolutionary multiple objective optimization algorithm using a fast calculation of holistic acceptabilities
    Authors:
    Michał K. Tomczyk, Miłosz Kadziński
    Conference:
    GECCO '21 : Proceedings of the 2021 Genetic and Evolutionary Computation Conference (rok: 2021, tom: GECCO'21, strony: 476-484), Wydawca: Association for Computing Machinery
    Data:
    konferencja 10-14 lipca 2021
    Status:
    Published
    DOI:
    10.1145/3449639.3459294 - link to the publication
  1. Meta-Rankings of Journals Publishing Multiple Criteria Decision Aiding Research: Benefit-of-Doubt Composite Indicators for Heterogeneous Qualitative Scales
    Authors:
    Luis C. Dias, Miłosz Kadziński
    Book:
    Intelligent Decision Support Systems (rok: 2022, tom: 1, strony: 245-268), Wydawca: Springer
    Status:
    Published
    DOI:
    10.1007/978-3-030-96318-7_13 - link to the publication
  2. Aggregation of Stochastic Rankings in Group Decision Making
    Authors:
    Miłosz Kadziński, Grzegorz Miebs, Dariusz Grynia, Roman Słowiński
    Book:
    Collective Decisions: Theory, Algorithms And Decision Support Systems. Studies in Systems, Decision and Control (rok: 2022, tom: 392, strony: 83-101), Wydawca: Springer
    Status:
    Published
    DOI:
    10.1007/978-3-030-84997-9_4 - link to the publication
  3. Robust Ordinal Regression for Multiple Criteria Decision Aiding
    Authors:
    Miłosz Kadziński
    Book:
    Intelligent Decision Support Systems (rok: 2022, tom: 1, strony: 185-205), Wydawca: Springer
    Status:
    Published
    DOI:
    10.1007/978-3-030-96318-7_10 - link to the publication
  4. Robust Ordinal Regression for Multiple Criteria Decision Aiding
    Authors:
    Miłosz Kadziński
    Book:
    Intelligent Decision Support Systems (rok: 2022, tom: 1, strony: 185-205), Wydawca: Springer
    Status:
    Published
    DOI:
    10.1007/978-3-030-96318-7_10 - link to the publication

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