Vage verzamelingen en mogelijkheidsmaten. Een inleiding in the theorie en voorbeelden van toepassingen
dc.contributor.author | Hoogenveen RT | |
dc.date.accessioned | 2013-06-13T21:10:38 | |
dc.date.issued | 1990-03-31 | |
dc.identifier | 958802001 | |
dc.description.abstract | The author reports on a literature search on fuzzy sets. Fuzzy sets differ from classical sets in the following sense: elements can partly belong to fuzzy sets, whereas elements do or don't belong to classical sets. Fuzzy sets can be generalized to fuzzy relations between elements ; fuzzy Markovian chains, that describe transitions between elements ; fuzzy functions ; fuzzy numbers ; fuzzy reasoning based on fuzzy relations ; fuzzy inclusion ; and fuzzy partitions. The possibility measure is a fuzzy translation of the probability measure: it quantifies the possibility of an event instead of the probability. Three applications of fuzzy sets and possibility measures have been elaborated: fuzzy linear regression, the fuzzy shortest path problem and fuzzy multi-criteria analysis. On the basis of the fuzzy shortest path problem (the interpretations of) the possibility measure and the probability measure are compared.<br> | |
dc.description.sponsorship | RIVM | |
dc.format.extent | 195 p | |
dc.language.iso | nl | |
dc.publisher | Rijksinstituut voor Volksgezondheid en Milieu RIVM | |
dc.relation.ispartof | RIVM Rapport 958802001 | |
dc.relation.url | http://www.rivm.nl/bibliotheek/rapporten/958802001.html | |
dc.subject | 20 | nl |
dc.subject | vage verzamelingen | nl |
dc.subject | mogelijkheidsmaten | nl |
dc.subject | onzekerheidsanalyse; interval-operaties | nl |
dc.title | Vage verzamelingen en mogelijkheidsmaten. Een inleiding in the theorie en voorbeelden van toepassingen | nl |
dc.title.alternative | Fuzzy sets and possiblity measures. An introduction into the theory and examples of applications | en |
dc.type | Report | |
dc.date.updated | 2013-06-13T19:10:40Z | |
html.description.abstract | The author reports on a literature search on fuzzy sets. Fuzzy sets differ from classical sets in the following sense: elements can partly belong to fuzzy sets, whereas elements do or don't belong to classical sets. Fuzzy sets can be generalized to fuzzy relations between elements ; fuzzy Markovian chains, that describe transitions between elements ; fuzzy functions ; fuzzy numbers ; fuzzy reasoning based on fuzzy relations ; fuzzy inclusion ; and fuzzy partitions. The possibility measure is a fuzzy translation of the probability measure: it quantifies the possibility of an event instead of the probability. Three applications of fuzzy sets and possibility measures have been elaborated: fuzzy linear regression, the fuzzy shortest path problem and fuzzy multi-criteria analysis. On the basis of the fuzzy shortest path problem (the interpretations of) the possibility measure and the probability measure are compared.<br> |