Multiple Criteria Decision Aiding by Constructive Preference Learning

• Autorzy: Słowiński Roman

Identyfikatory

DOI

10.15439/2023F6419

• Języki publikacji: EN

Abstrakty

EN

The notion of preference is relevant across a variety of scientific disciplines, including economics and social sciences, operations research and decision sciences, artificial intelligence, psychology, and philosophy. Preferences provide a means for specifying desires in a declarative and intelligible way, a key element for the effective representation of knowledge and reasoning respecting the value systems of Decision Makers (DMs) [1].

Słowa kluczowe

EN

economics; computer science; psychology; cognition; artificial intelligence

PL

ekonomia; Informatyka; psychologia; sztuczna inteligencja

• Wydawca: Polskie Towarzystwo Informatyczne
• Czasopismo: Annals of Computer Science and Information Systems
• Rocznik: 2023
• Tom: Vol. 35
• Strony: 39--39
• Opis fizyczny: Bibliogr. 5 poz.

Twórcy

autor

Słowiński Roman

• Poznań University of Technology, Poland
• Systems Research Institute, Polish Academy of Sciences, Poland

Bibliografia

• 1. E. Hüllermeier and R. Słowiński, “Preference learning and multiple criteria decision aiding: differences, commonalities, and synergies,” Submitted, 2023.
• 2. S. Greco, V. Mousseau, and R. Słowiński, “Ordinal regression revisited: multiple criteria ranking using a set of additive value functions,” European Journal of Operational Research, vol. 191, no. 2, pp. 415–435, 2008.
• 3. S. Corrente, S. Greco, M. Kadziński, and R. Słowiński, “Robust ordinal regression in preference learning and ranking,” Machine Learning, vol. 93, pp. 381–422, 2013.
• 4. S. Corrente, S. Greco, and R. Słowiński, “Multiple criteria hierarchy process in robust ordinal regression,” Decision Support Systems, vol. 53, no. 3, pp. 660–674, 2012.
• 5. S. Corrente, S. Greco, B. Matarazzo, and R. Słowiński, “Explainable interactive evolutionary multiobjective optimization,” Omega, p. 102925, 2023.

Uwagi

1. (Keynote Lecture — Extended Abstract)

2. Main Track Invited Contributions

3. Opracowanie rekordu ze środków MEiN, umowa nr SONP/SP/546092/2022 w ramach programu "Społeczna odpowiedzialność nauki" - moduł: Popularyzacja nauki i promocja sportu (2024).