Dynamic pricing using Thompson Sampling with fuzzy events

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Samenvatting

In this paper we study a repeated posted-price auction between a single seller and a single buyer that interact for a finite number of periods or rounds. In each round, the seller offers the same item for sale to the buyer. The seller announces a price and the buyer can decide to buy the item at the announced price or the buyer can decide not to buy the item. In this paper we study the problem from the perspective of the buyer who only gets to observe a stochastic measurement of the valuation of the item after he buys the item. Furthermore, in our model the buyer uses fuzzy sets to describe his satisfaction with the observed valuations and he uses fuzzy sets to describe his dissatisfaction with the observed price. In our problem, the buyer makes decisions based on the probability of a fuzzy event. His decision to buy or not depends on whether the satisfaction from having a high enough valuation for the item out weights the dissatisfaction of the quoted price. We propose an algorithm based on Thompson Sampling and demonstrate that it performs well using numerical experiments.

Originele taal-2Engels
TitelInformation Processing and Management of Uncertainty in Knowledge-Based Systems - 18th International Conference, IPMU 2020, Proceedings
RedacteurenMarie-Jeanne Lesot, Susana Vieira, Marek Z. Reformat, João Paulo Carvalho, Anna Wilbik, Bernadette Bouchon-Meunier, Ronald R. Yager
Pagina's653-666
Aantal pagina's14
ISBN van elektronische versie978-3-030-50146-4
DOI's
StatusGepubliceerd - 15 jun 2020
Evenement18th International Conference on Information Processing and Management of Uncertainty in Knowledge-Based Systems (IPMU 2020) - Lisboa, Portugal
Duur: 15 jun 202019 jun 2020
https://ipmu2020.inesc-id.pt/

Publicatie series

NaamCommunications in Computer and Information Science
Volume1237 CCIS
ISSN van geprinte versie1865-0929
ISSN van elektronische versie1865-0937

Congres

Congres18th International Conference on Information Processing and Management of Uncertainty in Knowledge-Based Systems (IPMU 2020)
Land/RegioPortugal
StadLisboa
Periode15/06/2019/06/20
Internet adres

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