Szczegóły publikacji

Opis bibliograficzny

Fusion of expert information in content-based multimedia retrieval with group decision support / Andrzej M. J. SKULIMOWSKI // W: PP-RAI'2022 [Dokument elektroniczny] : proceedings of the 3rd Polish conference on Artificial intelligence : April 25–27, 2022, Gdynia, Poland. — Wersja do Windows. — Dane tekstowe. — Gdynia : Gdynia Maritime University, 2022. — e-ISBN: 978-83-7421-401-8. — S. 159–163. — Wymagania systemowe: Adobe Reader. — Tryb dostępu: https://wydawnictwo.umg.edu.pl/pp-rai2022/pdfs/ProceedingsPP-... [2022-04-27]. — Bibliogr. s. 163, Abstr. — Dod. afiliacja autora: International Centre for Decision Sciences and Forecasting, Progress & Business Foundation, Kraków


Autor


Słowa kluczowe

reference set methodmulti-criteria decision makinggroup decision supportmultiple reference pointscontent-based information retrieval

Dane bibliometryczne

ID BaDAP140001
Data dodania do BaDAP2022-04-29
Rok publikacji2022
Typ publikacjimateriały konferencyjne (aut.)
Otwarty dostęptak
WydawcaUniwersytet Morski w Gdyni

Abstract

This paper proposes a new approach to fuse recommendations of experts involved in multicriteria decision support procedures. Recommendations are formulated by experts independently as elements of four predefined reference sets. The decision situation corresponds either to the scheme ‘one decision maker – multiple recommending experts’ (group decision support) or ‘multiple decision makers – multiple experts’ (group decision making and support). We define the internal, mutual, and plausibility inconsistencies and propose a procedure to verify consistency, regularize the reference values, and fuse them. An expert’s trust coefficient decrease when a reference value recommended by this expert is modified during the regularization process. Thus, the regularization outcomes can be assessed ex ante with respect to the total losses of experts’ credibility and to the quality of the resulting reference set. The decision process will be illustrated by an example of content-based multimedia retrieval from the AI-based knowledge repository developed within a recent research project.

Publikacje, które mogą Cię zainteresować

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AI-based design of decision support systems for industrial risk management / Andrzej M. J. SKULIMOWSKI, Paweł ŁYDEK // W: PP-RAI'2022 [Dokument elektroniczny] : proceedings of the 3rd Polish conference on Artificial intelligence : April 25–27, 2022, Gdynia, Poland. — Wersja do Windows. — Dane tekstowe. — Gdynia : Gdynia Maritime University, 2022. — e-ISBN: 978-83-7421-401-8. — S. 138–142. — Wymagania systemowe: Adobe Reader. — Tryb dostępu: https://wydawnictwo.umg.edu.pl/pp-rai2022/pdfs/ProceedingsPP-... [2022-04-27]. — Bibliogr. s. 142, Abstr. — A. M. J. Skulimowski, P. Łydek – dod. afiliacja: International Centre for Decision Sciences and Forecasting, Progress & Business Foundation, Kraków
fragment książki
Reconciling inconsistent preference information in group multicriteria decision support with reference sets / Andrzej M. J. SKULIMOWSKI // W: Advances and trends in artificial intelligence : theory and applications : 36th international conference on Industrial, Engineering and Other Applications of Applied Intelligent Systems, IEA/AIE 2023 : Shanghai, China, July 19–22, 2023 : proceedings, Pt. 1 / eds. Hamido Fujita [et al.]. — Cham : Springer Nature, cop. 2023. — (Lecture Notes in Computer Science ; ISSN 0302-9743 ; LNCS 13925. Lecture Notes in Artificial Intelligence). — ISBN: 978-3-031-36818-9; e-ISBN: 978-3-031-36819-6. — S. 207–220. — Bibliogr., Abstr. — Publikacja dostępna online od: 2023-07-19. — A. M. J. Skulimowski - dod. afiliacja: International Centre for Decision Sciences and Forecasting, Progress and Business Foundation, Kraków