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DC Field | Value | Language |
---|---|---|
dc.contributor.author | Nawapon Nakharutai | en_US |
dc.date.accessioned | 2021-01-27T03:45:28Z | - |
dc.date.available | 2021-01-27T03:45:28Z | - |
dc.date.issued | 2020-01-01 | en_US |
dc.identifier.issn | 16113349 | en_US |
dc.identifier.issn | 03029743 | en_US |
dc.identifier.other | 2-s2.0-85096627106 | en_US |
dc.identifier.other | 10.1007/978-3-030-62509-2_6 | en_US |
dc.identifier.uri | https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85096627106&origin=inward | en_US |
dc.identifier.uri | http://cmuir.cmu.ac.th/jspui/handle/6653943832/71434 | - |
dc.description.abstract | © 2020, Springer Nature Switzerland AG. (Formula Presented)-maximin, (Formula Presented)-maximax, maximality and interval dominance are well-known criteria for decision making using lower previsions when precise probabilities are not available. This study proposes algorithms for generating a set of gambles that has a precise number of (Formula Presented)-maximin (or (Formula Presented)-maximax) gambles that can be used to generate random decision problems for benchmarking algorithms for finding (Formula Presented)-maximin (or (Formula Presented)-maximax) gambles. Since (Formula Presented)-maximin and (Formula Presented)-maximax imply maximality and interval dominance, the algorithms can also be used as an alternative algorithm for generating random decision problems with pre-determined numbers of maximal and interval dominant gambles. | en_US |
dc.subject | Computer Science | en_US |
dc.subject | Mathematics | en_US |
dc.title | Algorithms for Generating Sets of Gambles for Decision Making with Lower Previsions | en_US |
dc.type | Book Series | en_US |
article.title.sourcetitle | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) | en_US |
article.volume | 12482 LNAI | en_US |
article.stream.affiliations | Chiang Mai University | en_US |
Appears in Collections: | CMUL: Journal Articles |
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