Ontology type: schema:Chapter
2004
AUTHORSMiguel López-Díaz , María Á. Gil , Przemysław Grzegorzewski , Olgierd Hryniewicz , Jonathan Lawry , Luis J. Rodríguez-Muñiz
ABSTRACTIn this paper we deal with the following problem: how to reduce the complexity when evaluating an Influence Diagram by separating the value node into several nodes representing the parts that compose by addition the utility function. This problem has been analyzed in the case of real-valued utility function. Now we study the case of fuzzy-valued utility function. Moreover, we also deal with imprecise information added to the diagram in terms of fuzzy random variables. More... »
PAGES621-627
Soft Methodology and Random Information Systems
ISBN
978-3-540-22264-4
978-3-540-44465-7
http://scigraph.springernature.com/pub.10.1007/978-3-540-44465-7_77
DOIhttp://dx.doi.org/10.1007/978-3-540-44465-7_77
DIMENSIONShttps://app.dimensions.ai/details/publication/pub.1020812586
JSON-LD is the canonical representation for SciGraph data.
TIP: You can open this SciGraph record using an external JSON-LD service: JSON-LD Playground Google SDTT
[
{
"@context": "https://springernature.github.io/scigraph/jsonld/sgcontext.json",
"about": [
{
"id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/1109",
"inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/",
"name": "Neurosciences",
"type": "DefinedTerm"
},
{
"id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/11",
"inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/",
"name": "Medical and Health Sciences",
"type": "DefinedTerm"
}
],
"author": [
{
"affiliation": {
"alternateName": "University of Oviedo",
"id": "https://www.grid.ac/institutes/grid.10863.3c",
"name": [
"Departamento de Estad\u00edstica e I.O. y D.M., Universidad de Oviedo, 33071\u00a0Oviedo, Spain"
],
"type": "Organization"
},
"familyName": "L\u00f3pez-D\u00edaz",
"givenName": "Miguel",
"id": "sg:person.011473542121.33",
"sameAs": [
"https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.011473542121.33"
],
"type": "Person"
},
{
"familyName": "Gil",
"givenName": "Mar\u00eda \u00c1.",
"id": "sg:person.013420443231.50",
"sameAs": [
"https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.013420443231.50"
],
"type": "Person"
},
{
"familyName": "Grzegorzewski",
"givenName": "Przemys\u0142aw",
"id": "sg:person.013066503121.18",
"sameAs": [
"https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.013066503121.18"
],
"type": "Person"
},
{
"familyName": "Hryniewicz",
"givenName": "Olgierd",
"id": "sg:person.013664063521.14",
"sameAs": [
"https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.013664063521.14"
],
"type": "Person"
},
{
"familyName": "Lawry",
"givenName": "Jonathan",
"id": "sg:person.014461444121.62",
"sameAs": [
"https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.014461444121.62"
],
"type": "Person"
},
{
"affiliation": {
"alternateName": "University of Oviedo",
"id": "https://www.grid.ac/institutes/grid.10863.3c",
"name": [
"Departamento de Estad\u00edstica e I.O. y D.M., Universidad de Oviedo, 33071\u00a0Oviedo, Spain"
],
"type": "Organization"
},
"familyName": "Rodr\u00edguez-Mu\u00f1iz",
"givenName": "Luis J.",
"id": "sg:person.010256741453.82",
"sameAs": [
"https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.010256741453.82"
],
"type": "Person"
}
],
"citation": [
{
"id": "https://doi.org/10.1016/s0165-0114(97)00031-6",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1005213423"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1016/0165-0114(89)90188-7",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1022139980"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1016/0165-0114(89)90188-7",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1022139980"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1016/s0377-2217(99)00055-7",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1032634709"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1016/0377-2217(89)90429-3",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1033935393"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1016/0377-2217(89)90429-3",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1033935393"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1016/0022-247x(65)90049-1",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1035033125"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1016/0022-247x(86)90093-4",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1043810381"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1109/21.52548",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1061122306"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1109/tsmc.1980.4308391",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1061793224"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1287/opre.34.6.871",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1064729770"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1287/opre.41.2.280",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1064730542"
],
"type": "CreativeWork"
}
],
"datePublished": "2004",
"datePublishedReg": "2004-01-01",
"description": "In this paper we deal with the following problem: how to reduce the complexity when evaluating an Influence Diagram by separating the value node into several nodes representing the parts that compose by addition the utility function. This problem has been analyzed in the case of real-valued utility function. Now we study the case of fuzzy-valued utility function. Moreover, we also deal with imprecise information added to the diagram in terms of fuzzy random variables.",
"genre": "chapter",
"id": "sg:pub.10.1007/978-3-540-44465-7_77",
"inLanguage": [
"en"
],
"isAccessibleForFree": false,
"isPartOf": {
"isbn": [
"978-3-540-22264-4",
"978-3-540-44465-7"
],
"name": "Soft Methodology and Random Information Systems",
"type": "Book"
},
"name": "Addition Nodes in Influence Diagrams with Fuzzy-Valued Utilities and Variables",
"pagination": "621-627",
"productId": [
{
"name": "doi",
"type": "PropertyValue",
"value": [
"10.1007/978-3-540-44465-7_77"
]
},
{
"name": "readcube_id",
"type": "PropertyValue",
"value": [
"632a485f35e2d8fb56f7c6971a69430dee291dca70be3af88b3beb7b21bce28d"
]
},
{
"name": "dimensions_id",
"type": "PropertyValue",
"value": [
"pub.1020812586"
]
}
],
"publisher": {
"location": "Berlin, Heidelberg",
"name": "Springer Berlin Heidelberg",
"type": "Organisation"
},
"sameAs": [
"https://doi.org/10.1007/978-3-540-44465-7_77",
"https://app.dimensions.ai/details/publication/pub.1020812586"
],
"sdDataset": "chapters",
"sdDatePublished": "2019-04-15T20:05",
"sdLicense": "https://scigraph.springernature.com/explorer/license/",
"sdPublisher": {
"name": "Springer Nature - SN SciGraph project",
"type": "Organization"
},
"sdSource": "s3://com-uberresearch-data-dimensions-target-20181106-alternative/cleanup/v134/2549eaecd7973599484d7c17b260dba0a4ecb94b/merge/v9/a6c9fde33151104705d4d7ff012ea9563521a3ce/jats-lookup/v90/0000000001_0000000264/records_8687_00000256.jsonl",
"type": "Chapter",
"url": "http://link.springer.com/10.1007/978-3-540-44465-7_77"
}
]Download the RDF metadata as: json-ld nt turtle xml License info
JSON-LD is a popular format for linked data which is fully compatible with JSON.
curl -H 'Accept: application/ld+json' 'https://scigraph.springernature.com/pub.10.1007/978-3-540-44465-7_77'
N-Triples is a line-based linked data format ideal for batch operations.
curl -H 'Accept: application/n-triples' 'https://scigraph.springernature.com/pub.10.1007/978-3-540-44465-7_77'
Turtle is a human-readable linked data format.
curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1007/978-3-540-44465-7_77'
RDF/XML is a standard XML format for linked data.
curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1007/978-3-540-44465-7_77'
This table displays all metadata directly associated to this object as RDF triples.
120 TRIPLES
22 PREDICATES
36 URIs
19 LITERALS
7 BLANK NODES