“There is a quest to build human-centric systems” – Witold Pedrycz

Media and Videos

FMsquare uses fuzzy logic to compute with words and perceptions.

International Book Series

FMsquare uses the idea of graded truth to help leverage collective and individual intelligence for a human-centered digital transformation.


FMsquare publications get to the core of fuzzy logic, soft computing, and computing with words.

  • Christen R, Mazzola L, Denzler A, Portmann E (2022). Distance Metrics for Evaluating the Use of Exogenous Data in Load Forecasting. Information Processing and Management of Uncertainty in Knowledge-Based Systems
  • Colombo M, Pincay J, Lavrovsky O, Iseli L, van Wezemael J, Portmann E (2022). A Methodology for Mapping Perceived Spatial Qualities. Enterprise Information Systems. Lecture Notes in Business Information Processing
  • D’Onofrio S, Portmann E (2022) Digitale Ethik im KI-Zeitalter. HMD Praxis der Wirtschaftsinformatik, Springer
  • D’Onofrio S, Gadient D (2022) e-Health: Digitalisierung im Gesundheitswesen. HMD Praxis der Wirtschaftsinformatik. Springer
  • Pincay-Nieves J (2022) Smart Urban Logistics. Improving Delivery Services by Computational Intelligence. Springer International Publishing.
  • Portmann E (2022) Auf dünnem Eis. Informatik Spektrum
  • Portmann E (2022) Müssen wir wissen und werden wir jemals wissen? Informatik Spektrum
  • Portmann E (2022) Gefuhltes Wissen? HMD Praxis der Wirtschaftsinformatik
  • Portmann E, D’Onofrio S (2022) Computational Ethics. HMD Praxis der Wirtschaftsinformatik
  • Colombo M, Portmann E (2021) Semantic Similarity Between Adjectives and Adverbs – The Introduction of a New Measure. In: Kreinovich V, Hoang Phuong N (eds) Soft Computing for Biomedical Applications and Related Topics. Studies in Computational Intelligence, vol 899. Springer, Chap
  • Colombo M, Pincay J, Lavrovsky O, Iseli L, Van Wezemael J, Portmann E (2021) Streetwise: Mapping citizens’ perceived spatial qualities. Proceedings of the 23rd International Conference on Enterprise Information Systems, vol. 1: ICEIS, INSTICC, pp. 810-818. SciTePress
  • D’Onofrio S, Meier A (2021) Big Data Analytics. Springer Fachmedien Wiesbaden GmbH
  • D’Onofrio S, Stucki T (2021) Digital Public Services. HMD Praxis der Wirtschaftsinformatik, 58(5), Springer
  • Österle H, Portmann E, D’Onofrio S (2021) Human Life Engineering. Informatik Spektrum, 44(4), Springer
  • Pincay-Nieves J, Portmann E, Terán L (2021) Fuzzifying Geospatial Data to Identify Critical Traffic Areas. Joint Proceedings of the 19th World Congress of the International Fuzzy Systems Association, the 12th Conference of the European Society for Fuzzy Logic and Technology, and the 11th International Summer School on Aggregation Operators
  • Vor der Brück, T. and Kaufmann, M. (2021). Hybrid Knowledge-based and Data-driven Text Similarity Estimation based on Fuzzy Sets, Word Embeddings, and the OdeNet Ontology. International Journal on Advances in Intelligent Systems, 14(1 & 2), pp. 114–120.
  • Colombo M, D’Onofrio S, Portmann E (2020) Integration of Fuzzy Logic in Analogical Reasoning: A Prototype. IEEE 16th International Conference on Intelligent Computer Communication and Processing (ICCP), pp. 5-11.
  • D’Onofrio S, Meinhardt S (2020) Robotics. HMD Praxis der Wirtschaftsinformatik, 57(6).
    Portmann E, D’Onofrio S (2020) Cognitive Computing: Theorie, Technik und Praxis. Springer-Verlag.
  • Stucki T, D’Onofrio S, Portmann E (2020) Chatbots gestalten mit Praxisbeispielen der Schweizerischen Post. HMD Best Paper Award 2018. essentials. Springer Vieweg.
  • Lima S., Terán L., and Portmann E.: A Proposal for an Explainable Fuzzy-based Deep Learning System for Skin Cancer Prediction. In 2020 Seventh International Conference on eDemocracy & eGovernment (ICEDEG’20), Buenos Aires, Argentina, IEEE (2020).
  • Pincay-Nieves, J.; Mensah, A.; Portmann, E. and Terán, L. . Forecasting Travel Times with Space Partitioning Methods. In Proceedings of the 6th International Conference on Geographical Information Systems Theory, Ap- plications and Management – Volume 1: GISTAM, ISBN 978-989-758-425-1, pages 151-159, (2020).
  • Pincay J., Mensah O., Portmann E., and Terán L.: Partitioning Space to Identify En-Route Movement Patterns. In 2020 Seventh International Conference on eDemocracy & eGovernment (ICEDEG’20), Buenos Aires, Argentina, IEEE (2020).
  • Meier, A., & Seising, R. (2018). Vague Information Processing. HMD Praxis der Wirtschaftsinformatik, 55(3), 465–466. (in German)
  • D’Onofrio, S., Müller, S. M., Papageorgiou, E., & Portmann, E. (2018). Fuzzy Reasoning in Cognitive Cities – An Exploratory Work on Fuzzy Analogical Reasoning Using Fuzzy Cognitive Maps. In: 2018 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE’18). Rio de Janeiro, Brazil – July 08-13 2018. IEEE
  • Portmann, E. (2017). The Gradual Arrival of Fuzziness in Switzerland. Archives for the Philosophie and History of Soft Computing.
  • Kaufmann, M. A. (2015). Fuzzylogik: Eine Revolution des Geistes. Informatik-Spektrum, 1–8. (in German)
  • D’Onofrio, S., & Tschudi, F. (2018). Design Thinking: Ein Videoprojekt zu Computing with Words schlägt neue Brücken zwischen Forschung und Praxis. In: Meier, Andreas; Seising, Rudolf (eds). Vague Information Processing (pp. 510-527). HMD Praxis der Wirtschaftsinformatik. Springer Fachmedien Wiesbaden. (in German)
  • Portmann, E. (2017). Wozu ist Soft Computing nützlich? Reflexionen anhand der Smart-City-Forschung. HMD Praxis der Wirtschaftsinformatik. (in German)
  • Kaufmann, M., Meier, A., & Stoffel, K. (2015). IFC-Filter: Membership function generation for inductive fuzzy classification. Expert Systems with Applications, 42(21), 8369–8379.
  • Portmann, E. Meier, A. Cudré-Mauroux, P. Pedrycz, W. (2014). FORA – A Fuzzy Set Based Framework for Online Reputation Management. Fuzzy sets and systems, 269, pp. 90-114. Elsevier 10.1016/j.fss.2014.06.004.
  • Kaufmann, M., & Graf, C. (2012). Fuzzy Target Groups in Analytic Customer Relationship Management. In Fuzzy Methods for Customer Relationship Management and Marketing: Applications and Classifications (pp. 168–192). IGI Global.
  • Donzé, L., & Meier, A. (2012). Applying Fuzzy Logic and Fuzzy Methods to Marketing. Fuzzy Methods for Customer Relationship Management and Marketing: Applications and Classifications, 1–14.
  • Kaufmann, M., & Meier, A. (2009). An inductive fuzzy classification approach applied to individual marketing. In Fuzzy Information Processing Society, 2009. NAFIPS 2009. Annual Meeting of the North American (pp. 1–6).
  • Meier A., Schindler G., Werro N. (2008). Fuzzy Classification on Relational Databases. In Galindo J. (ed): Handbook of Research on Fuzzy Information Processing in Databases, Idea Group Inc., Hershey 2008.
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