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pro vyhledávání: '"Simon Coupland"'
Autor:
Simon Coupland
Publikováno v:
Early Medieval Europe.
Autor:
Simon Coupland
Publikováno v:
Early Medieval Europe, 30(3), 384-407. Wiley-Blackwell
The dramatic recent increase in the number of Carolingian coin finds offers significant new insights into the political, social and economic history of the period. Coins were produced in larger numbers, circulated more widely, and were used more comm
Autor:
Simon Coupland
Publikováno v:
The Catholic Historical Review. 108:795-796
Publikováno v:
FUZZ-IEEE
Many decision making processes are based on choosing options with maximum utility. Often utility assessments are associated with uncertainty, which may be mathematically modeled by intervals of utilities. Intervals of utilities may be mapped to singl
Autor:
Zacharias Anastassi, Simon Coupland, Fabio Caraffini, Stefan Kuhn, Stuart O'Connor, Simon Colreavy-Donnelly
Publikováno v:
COMPSAC
This study combines two novel deterministic methods with a Convolutional Neural Network to develop a machine learning method that is aware of directionality of light in images. The first method detects shadows in terrestrial images by using a sliding
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b9b8f6bcf20ec6325da66eb359ed790c
https://dora.dmu.ac.uk/handle/2086/19689
https://dora.dmu.ac.uk/handle/2086/19689
Publikováno v:
IEEE Transactions on Fuzzy Systems. 25:682-692
Type-2 fuzzy logic systems make use of type-2 fuzzy sets. To be able to deliver useful type-2 fuzzy logic applications we need to be able to perform meaningful operations on these sets. These operations should also be practically tractable. However,
Publikováno v:
International Journal of Approximate Reasoning. 80:217-224
This paper concerns itself with decision making under uncertainty and the consideration of risk. Type-1 fuzzy logic by its (essentially) crisp nature is limited in modelling decision making as there is no uncertainty in the membership function. We ar
Publikováno v:
FUZZ-IEEE
Fuzzy systems mimic human reasoning and provide solutions to problems under uncertainty via ‘computing with words’. This particular strength of fuzzy systems is often discarded in some real world applications where the fuzzy sets are designed for
Publikováno v:
FUZZ-IEEE
We propose the application of interval type–2 fuzzy decision making (IT2FDM) to dynamic scheduling of deliveries in a just–in–time logistic process. Delivery decisions are based on order priorities computed from the expected decrease of custome