Penalty-Based Functions Defined by Pre-aggregation Functions View Full Text


Ontology type: schema:Chapter     


Chapter Info

DATE

2018-05-18

AUTHORS

Graçaliz Pereira Dimuro , Radko Mesiar , Humberto Bustince , Benjamín Bedregal , José Antonio Sanz , Giancarlo Lucca

ABSTRACT

Pre-aggregation function (PAF) is an important concept that has emerged in the context of directional monotonicity functions. Such functions satisfy the same boundary conditions of an aggregation functions, but it is not required the monotone increasingness in all the domain, just in some fixed directions. On the other hand, penalty functions is another important concept for decision making applications, since they can provide a measure of deviation from the consensus value given by averaging aggregation functions, or a penalty for not having such consensus. This paper studies penalty-based functions defined by PAFs. We analyse some properties (e.g.: idempotency, averaging behavior and shift-invariance), providing a characterization of idempotent penalty-based PAFs and a weak characterization of averaging penalty-based PAFs. The use of penalty-based PAFs in spatial/tonal filters is outlined. More... »

PAGES

403-415

References to SciGraph publications

  • 2009-12. FURIA: an algorithm for unordered fuzzy rule induction in DATA MINING AND KNOWLEDGE DISCOVERY
  • 2002. Aggregation Operators: Properties, Classes and Construction Methods in AGGREGATION OPERATORS
  • 2008. Adaptive Morphological Filtering Using Similarities Based on Geodesic Time in DISCRETE GEOMETRY FOR COMPUTER IMAGERY
  • 2008. Interval Additive Generators of Interval T-Norms in LOGIC, LANGUAGE, INFORMATION AND COMPUTATION
  • 2004-12. ICTM: An Interval Tessellation-Based Model for Reliable Topographic Segmentation in NUMERICAL ALGORITHMS
  • Book

    TITLE

    Information Processing and Management of Uncertainty in Knowledge-Based Systems. Theory and Foundations

    ISBN

    978-3-319-91475-6
    978-3-319-91476-3

    From Grant

    Identifiers

    URI

    http://scigraph.springernature.com/pub.10.1007/978-3-319-91476-3_34

    DOI

    http://dx.doi.org/10.1007/978-3-319-91476-3_34

    DIMENSIONS

    https://app.dimensions.ai/details/publication/pub.1104043179


    Indexing Status Check whether this publication has been indexed by Scopus and Web Of Science using the SN Indexing Status Tool
    Incoming Citations Browse incoming citations for this publication using opencitations.net

    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/2008/0806", 
            "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
            "name": "Information Systems", 
            "type": "DefinedTerm"
          }, 
          {
            "id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/08", 
            "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
            "name": "Information and Computing Sciences", 
            "type": "DefinedTerm"
          }
        ], 
        "author": [
          {
            "affiliation": {
              "alternateName": "Universidad Publica De Navarra", 
              "id": "https://www.grid.ac/institutes/grid.410476.0", 
              "name": [
                "Centro Ci\u00eancias Computacionais, Universidade Federal do Rio Grande Campus Carreiros, 96201-900, Rio Grande, Brazil", 
                "Institute of Smart Cities, Universidad Publica de Navarra Campus Arrosad\u00eda, 31006, Pamploma, Spain"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Dimuro", 
            "givenName": "Gra\u00e7aliz Pereira", 
            "id": "sg:person.016337443435.08", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.016337443435.08"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "Slovak University of Technology in Bratislava", 
              "id": "https://www.grid.ac/institutes/grid.440789.6", 
              "name": [
                "Department of Mathematics, Slovak University of Technology, Radlinsk\u00e9ho 11, 81005, Bratislava, Slovakia"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Mesiar", 
            "givenName": "Radko", 
            "id": "sg:person.013374353164.75", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.013374353164.75"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "Universidad Publica De Navarra", 
              "id": "https://www.grid.ac/institutes/grid.410476.0", 
              "name": [
                "Institute of Smart Cities, Universidad Publica de Navarra Campus Arrosad\u00eda, 31006, Pamploma, Spain", 
                "Depto. of Autom\u00e1tica y Computaci\u00f3n, Universidad Publica de Navarra Campus Arrosad\u00eda, 31006, Pamplona, Spain"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Bustince", 
            "givenName": "Humberto", 
            "id": "sg:person.015252204566.82", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.015252204566.82"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "Federal University of Rio Grande do Norte", 
              "id": "https://www.grid.ac/institutes/grid.411233.6", 
              "name": [
                "Depart. de Inform\u00e1tica e Matem\u00e1tica Aplicada, Universidade Federal do Rio Grande do Norte Campus Universit\u00e1rio, 59072-970, Natal, Brazil"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Bedregal", 
            "givenName": "Benjam\u00edn", 
            "id": "sg:person.013557762322.51", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.013557762322.51"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "Universidad Publica De Navarra", 
              "id": "https://www.grid.ac/institutes/grid.410476.0", 
              "name": [
                "Institute of Smart Cities, Universidad Publica de Navarra Campus Arrosad\u00eda, 31006, Pamploma, Spain", 
                "Depto. of Autom\u00e1tica y Computaci\u00f3n, Universidad Publica de Navarra Campus Arrosad\u00eda, 31006, Pamplona, Spain"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Sanz", 
            "givenName": "Jos\u00e9 Antonio", 
            "id": "sg:person.01036722460.24", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01036722460.24"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "Universidad Publica De Navarra", 
              "id": "https://www.grid.ac/institutes/grid.410476.0", 
              "name": [
                "Depto. of Autom\u00e1tica y Computaci\u00f3n, Universidad Publica de Navarra Campus Arrosad\u00eda, 31006, Pamplona, Spain"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Lucca", 
            "givenName": "Giancarlo", 
            "id": "sg:person.014147122035.30", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.014147122035.30"
            ], 
            "type": "Person"
          }
        ], 
        "citation": [
          {
            "id": "sg:pub.10.1007/978-3-540-79126-3_46", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1001423557", 
              "https://doi.org/10.1007/978-3-540-79126-3_46"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/978-3-540-79126-3_46", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1001423557", 
              "https://doi.org/10.1007/978-3-540-79126-3_46"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1002/int.21692", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1004831133"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1111/j.1467-8659.2009.01544.x", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1010584785"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1111/j.1467-8659.2009.01544.x", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1010584785"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/978-3-7908-1787-4_1", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1011113308", 
              "https://doi.org/10.1007/978-3-7908-1787-4_1"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1023/b:numa.0000049453.95969.41", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1013594789", 
              "https://doi.org/10.1023/b:numa.0000049453.95969.41"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/j.fss.2003.10.031", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1013982946"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/j.ins.2009.11.035", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1014417709"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/j.ins.2011.05.003", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1016095835"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/j.knosys.2016.12.004", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1020211955"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/j.ejor.2015.01.018", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1022523866"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/j.knosys.2013.10.002", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1026846443"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/j.ejor.2012.10.009", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1027542075"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://app.dimensions.ai/details/publication/pub.1028562708", 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://app.dimensions.ai/details/publication/pub.1028562708", 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/j.fss.2016.09.011", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1037747174"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/978-3-540-69937-8_12", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1039314467", 
              "https://doi.org/10.1007/978-3-540-69937-8_12"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s10618-009-0131-8", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1040472498", 
              "https://doi.org/10.1007/s10618-009-0131-8"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s10618-009-0131-8", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1040472498", 
              "https://doi.org/10.1007/s10618-009-0131-8"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s10618-009-0131-8", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1040472498", 
              "https://doi.org/10.1007/s10618-009-0131-8"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1109/tfuzz.2015.2453020", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1061607026"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1109/tip.2002.801126", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1061640742"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/j.asoc.2017.05.050", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1085757906"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/j.asoc.2017.05.050", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1085757906"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/j.asoc.2017.05.050", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1085757906"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1109/fuzz-ieee.2017.8015433", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1093640388"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1109/fuzz-ieee.2015.7337911", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1093971321"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1109/weit.2011.19", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1094208238"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1109/vcip.2016.7805430", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1094398693"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1142/9789813146976_0036", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1096101302"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1017/cbo9781139644150", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1098777020"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/j.ins.2017.12.029", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1099930458"
            ], 
            "type": "CreativeWork"
          }
        ], 
        "datePublished": "2018-05-18", 
        "datePublishedReg": "2018-05-18", 
        "description": "Pre-aggregation function (PAF) is an important concept that has emerged in the context of directional monotonicity functions. Such functions satisfy the same boundary conditions of an aggregation functions, but it is not required the monotone increasingness in all the domain, just in some fixed directions. On the other hand, penalty functions is another important concept for decision making applications, since they can provide a measure of deviation from the consensus value given by averaging aggregation functions, or a penalty for not having such consensus. This paper studies penalty-based functions defined by PAFs. We analyse some properties (e.g.: idempotency, averaging behavior and shift-invariance), providing a characterization of idempotent penalty-based PAFs and a weak characterization of averaging penalty-based PAFs. The use of penalty-based PAFs in spatial/tonal filters is outlined.", 
        "editor": [
          {
            "familyName": "Medina", 
            "givenName": "Jes\u00fas", 
            "type": "Person"
          }, 
          {
            "familyName": "Ojeda-Aciego", 
            "givenName": "Manuel", 
            "type": "Person"
          }, 
          {
            "familyName": "Verdegay", 
            "givenName": "Jos\u00e9 Luis", 
            "type": "Person"
          }, 
          {
            "familyName": "Pelta", 
            "givenName": "David A.", 
            "type": "Person"
          }, 
          {
            "familyName": "Cabrera", 
            "givenName": "Inma P.", 
            "type": "Person"
          }, 
          {
            "familyName": "Bouchon-Meunier", 
            "givenName": "Bernadette", 
            "type": "Person"
          }, 
          {
            "familyName": "Yager", 
            "givenName": "Ronald R.", 
            "type": "Person"
          }
        ], 
        "genre": "chapter", 
        "id": "sg:pub.10.1007/978-3-319-91476-3_34", 
        "inLanguage": [
          "en"
        ], 
        "isAccessibleForFree": false, 
        "isFundedItemOf": [
          {
            "id": "sg:grant.4361101", 
            "type": "MonetaryGrant"
          }
        ], 
        "isPartOf": {
          "isbn": [
            "978-3-319-91475-6", 
            "978-3-319-91476-3"
          ], 
          "name": "Information Processing and Management of Uncertainty in Knowledge-Based Systems. Theory and Foundations", 
          "type": "Book"
        }, 
        "name": "Penalty-Based Functions Defined by Pre-aggregation Functions", 
        "pagination": "403-415", 
        "productId": [
          {
            "name": "doi", 
            "type": "PropertyValue", 
            "value": [
              "10.1007/978-3-319-91476-3_34"
            ]
          }, 
          {
            "name": "readcube_id", 
            "type": "PropertyValue", 
            "value": [
              "c02e7e565b00146d7a48bea479b1d044e67544366f1a327a3ff1c6ac5d35067f"
            ]
          }, 
          {
            "name": "dimensions_id", 
            "type": "PropertyValue", 
            "value": [
              "pub.1104043179"
            ]
          }
        ], 
        "publisher": {
          "location": "Cham", 
          "name": "Springer International Publishing", 
          "type": "Organisation"
        }, 
        "sameAs": [
          "https://doi.org/10.1007/978-3-319-91476-3_34", 
          "https://app.dimensions.ai/details/publication/pub.1104043179"
        ], 
        "sdDataset": "chapters", 
        "sdDatePublished": "2019-04-16T05:01", 
        "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/v90/0000000325_0000000325/records_100805_00000000.jsonl", 
        "type": "Chapter", 
        "url": "https://link.springer.com/10.1007%2F978-3-319-91476-3_34"
      }
    ]
     

    Download the RDF metadata as:  json-ld nt turtle xml License info

    HOW TO GET THIS DATA PROGRAMMATICALLY:

    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.10.1007/978-3-319-91476-3_34'

    N-Triples is a line-based linked data format ideal for batch operations.

    curl -H 'Accept: application/n-triples' 'https://scigraph.springernature.com/pub.10.1007/978-3-319-91476-3_34'

    Turtle is a human-readable linked data format.

    curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1007/978-3-319-91476-3_34'

    RDF/XML is a standard XML format for linked data.

    curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1007/978-3-319-91476-3_34'


     

    This table displays all metadata directly associated to this object as RDF triples.

    222 TRIPLES      23 PREDICATES      52 URIs      19 LITERALS      8 BLANK NODES

    Subject Predicate Object
    1 sg:pub.10.1007/978-3-319-91476-3_34 schema:about anzsrc-for:08
    2 anzsrc-for:0806
    3 schema:author N50b25e507cbf4f548f87a67a4463bbfd
    4 schema:citation sg:pub.10.1007/978-3-540-69937-8_12
    5 sg:pub.10.1007/978-3-540-79126-3_46
    6 sg:pub.10.1007/978-3-7908-1787-4_1
    7 sg:pub.10.1007/s10618-009-0131-8
    8 sg:pub.10.1023/b:numa.0000049453.95969.41
    9 https://app.dimensions.ai/details/publication/pub.1028562708
    10 https://doi.org/10.1002/int.21692
    11 https://doi.org/10.1016/j.asoc.2017.05.050
    12 https://doi.org/10.1016/j.ejor.2012.10.009
    13 https://doi.org/10.1016/j.ejor.2015.01.018
    14 https://doi.org/10.1016/j.fss.2003.10.031
    15 https://doi.org/10.1016/j.fss.2016.09.011
    16 https://doi.org/10.1016/j.ins.2009.11.035
    17 https://doi.org/10.1016/j.ins.2011.05.003
    18 https://doi.org/10.1016/j.ins.2017.12.029
    19 https://doi.org/10.1016/j.knosys.2013.10.002
    20 https://doi.org/10.1016/j.knosys.2016.12.004
    21 https://doi.org/10.1017/cbo9781139644150
    22 https://doi.org/10.1109/fuzz-ieee.2015.7337911
    23 https://doi.org/10.1109/fuzz-ieee.2017.8015433
    24 https://doi.org/10.1109/tfuzz.2015.2453020
    25 https://doi.org/10.1109/tip.2002.801126
    26 https://doi.org/10.1109/vcip.2016.7805430
    27 https://doi.org/10.1109/weit.2011.19
    28 https://doi.org/10.1111/j.1467-8659.2009.01544.x
    29 https://doi.org/10.1142/9789813146976_0036
    30 schema:datePublished 2018-05-18
    31 schema:datePublishedReg 2018-05-18
    32 schema:description Pre-aggregation function (PAF) is an important concept that has emerged in the context of directional monotonicity functions. Such functions satisfy the same boundary conditions of an aggregation functions, but it is not required the monotone increasingness in all the domain, just in some fixed directions. On the other hand, penalty functions is another important concept for decision making applications, since they can provide a measure of deviation from the consensus value given by averaging aggregation functions, or a penalty for not having such consensus. This paper studies penalty-based functions defined by PAFs. We analyse some properties (e.g.: idempotency, averaging behavior and shift-invariance), providing a characterization of idempotent penalty-based PAFs and a weak characterization of averaging penalty-based PAFs. The use of penalty-based PAFs in spatial/tonal filters is outlined.
    33 schema:editor N099afbff231e4ace893c5cd458e82837
    34 schema:genre chapter
    35 schema:inLanguage en
    36 schema:isAccessibleForFree false
    37 schema:isPartOf N0670341ae568439f8beb077f3c51ad4d
    38 schema:name Penalty-Based Functions Defined by Pre-aggregation Functions
    39 schema:pagination 403-415
    40 schema:productId N0ea3e1585de646809d9aba83b832b647
    41 N200d9d9f3d424bc0b793dde24be2af62
    42 N8a4c8ade258f491893727c14e0af2acc
    43 schema:publisher Nc1abaa9133034ea6b740bb42167ea0cb
    44 schema:sameAs https://app.dimensions.ai/details/publication/pub.1104043179
    45 https://doi.org/10.1007/978-3-319-91476-3_34
    46 schema:sdDatePublished 2019-04-16T05:01
    47 schema:sdLicense https://scigraph.springernature.com/explorer/license/
    48 schema:sdPublisher Ne59f1d6650f34706a16796fac76eee34
    49 schema:url https://link.springer.com/10.1007%2F978-3-319-91476-3_34
    50 sgo:license sg:explorer/license/
    51 sgo:sdDataset chapters
    52 rdf:type schema:Chapter
    53 N043e4ef52ce74481b5ea1eaf955c7121 schema:familyName Medina
    54 schema:givenName Jesús
    55 rdf:type schema:Person
    56 N0670341ae568439f8beb077f3c51ad4d schema:isbn 978-3-319-91475-6
    57 978-3-319-91476-3
    58 schema:name Information Processing and Management of Uncertainty in Knowledge-Based Systems. Theory and Foundations
    59 rdf:type schema:Book
    60 N099afbff231e4ace893c5cd458e82837 rdf:first N043e4ef52ce74481b5ea1eaf955c7121
    61 rdf:rest Nb5eccd8170204856aca69cf723a7730b
    62 N0ea3e1585de646809d9aba83b832b647 schema:name dimensions_id
    63 schema:value pub.1104043179
    64 rdf:type schema:PropertyValue
    65 N200d9d9f3d424bc0b793dde24be2af62 schema:name doi
    66 schema:value 10.1007/978-3-319-91476-3_34
    67 rdf:type schema:PropertyValue
    68 N28cfd882547d4cd1a5232b19fce72d49 rdf:first Nedbcf08483e84b6788c0777bfd79c5d5
    69 rdf:rest N9cbbdb5268bb49358b6d618a78f90ab4
    70 N372df37d29844ae0b05a59378f296fa0 rdf:first sg:person.015252204566.82
    71 rdf:rest N969b667abac24c09a3c670bb97ea50ab
    72 N413c7651388f45158570c86eb6cec4c7 schema:familyName Cabrera
    73 schema:givenName Inma P.
    74 rdf:type schema:Person
    75 N5026a4ba044f47a1a2a5ef868d443ed6 rdf:first Nf65764daf7274821b2473f2cbc073845
    76 rdf:rest rdf:nil
    77 N50b25e507cbf4f548f87a67a4463bbfd rdf:first sg:person.016337443435.08
    78 rdf:rest Nf43ca470c3d445aea67767c94fb67c1c
    79 N8a4c8ade258f491893727c14e0af2acc schema:name readcube_id
    80 schema:value c02e7e565b00146d7a48bea479b1d044e67544366f1a327a3ff1c6ac5d35067f
    81 rdf:type schema:PropertyValue
    82 N969b667abac24c09a3c670bb97ea50ab rdf:first sg:person.013557762322.51
    83 rdf:rest Nb9f07daf1f28499388812fca95320a5e
    84 N98715abaa40147688bb608d16f4a8806 rdf:first sg:person.014147122035.30
    85 rdf:rest rdf:nil
    86 N9b7b119557354de1b6ff3db6a156d922 rdf:first Nbabe570b76454bfe86a52e84eefac412
    87 rdf:rest N28cfd882547d4cd1a5232b19fce72d49
    88 N9cbbdb5268bb49358b6d618a78f90ab4 rdf:first N413c7651388f45158570c86eb6cec4c7
    89 rdf:rest Ne68143688dcb4611aa467b6fcaa36764
    90 Na559d1abcbc64f3584eb3734d569fbe6 schema:familyName Ojeda-Aciego
    91 schema:givenName Manuel
    92 rdf:type schema:Person
    93 Nb5eccd8170204856aca69cf723a7730b rdf:first Na559d1abcbc64f3584eb3734d569fbe6
    94 rdf:rest N9b7b119557354de1b6ff3db6a156d922
    95 Nb9f07daf1f28499388812fca95320a5e rdf:first sg:person.01036722460.24
    96 rdf:rest N98715abaa40147688bb608d16f4a8806
    97 Nbabe570b76454bfe86a52e84eefac412 schema:familyName Verdegay
    98 schema:givenName José Luis
    99 rdf:type schema:Person
    100 Nc1abaa9133034ea6b740bb42167ea0cb schema:location Cham
    101 schema:name Springer International Publishing
    102 rdf:type schema:Organisation
    103 Nd197c2c117744e80bce4f5f89605f726 schema:familyName Bouchon-Meunier
    104 schema:givenName Bernadette
    105 rdf:type schema:Person
    106 Ne59f1d6650f34706a16796fac76eee34 schema:name Springer Nature - SN SciGraph project
    107 rdf:type schema:Organization
    108 Ne68143688dcb4611aa467b6fcaa36764 rdf:first Nd197c2c117744e80bce4f5f89605f726
    109 rdf:rest N5026a4ba044f47a1a2a5ef868d443ed6
    110 Nedbcf08483e84b6788c0777bfd79c5d5 schema:familyName Pelta
    111 schema:givenName David A.
    112 rdf:type schema:Person
    113 Nf43ca470c3d445aea67767c94fb67c1c rdf:first sg:person.013374353164.75
    114 rdf:rest N372df37d29844ae0b05a59378f296fa0
    115 Nf65764daf7274821b2473f2cbc073845 schema:familyName Yager
    116 schema:givenName Ronald R.
    117 rdf:type schema:Person
    118 anzsrc-for:08 schema:inDefinedTermSet anzsrc-for:
    119 schema:name Information and Computing Sciences
    120 rdf:type schema:DefinedTerm
    121 anzsrc-for:0806 schema:inDefinedTermSet anzsrc-for:
    122 schema:name Information Systems
    123 rdf:type schema:DefinedTerm
    124 sg:grant.4361101 http://pending.schema.org/fundedItem sg:pub.10.1007/978-3-319-91476-3_34
    125 rdf:type schema:MonetaryGrant
    126 sg:person.01036722460.24 schema:affiliation https://www.grid.ac/institutes/grid.410476.0
    127 schema:familyName Sanz
    128 schema:givenName José Antonio
    129 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01036722460.24
    130 rdf:type schema:Person
    131 sg:person.013374353164.75 schema:affiliation https://www.grid.ac/institutes/grid.440789.6
    132 schema:familyName Mesiar
    133 schema:givenName Radko
    134 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.013374353164.75
    135 rdf:type schema:Person
    136 sg:person.013557762322.51 schema:affiliation https://www.grid.ac/institutes/grid.411233.6
    137 schema:familyName Bedregal
    138 schema:givenName Benjamín
    139 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.013557762322.51
    140 rdf:type schema:Person
    141 sg:person.014147122035.30 schema:affiliation https://www.grid.ac/institutes/grid.410476.0
    142 schema:familyName Lucca
    143 schema:givenName Giancarlo
    144 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.014147122035.30
    145 rdf:type schema:Person
    146 sg:person.015252204566.82 schema:affiliation https://www.grid.ac/institutes/grid.410476.0
    147 schema:familyName Bustince
    148 schema:givenName Humberto
    149 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.015252204566.82
    150 rdf:type schema:Person
    151 sg:person.016337443435.08 schema:affiliation https://www.grid.ac/institutes/grid.410476.0
    152 schema:familyName Dimuro
    153 schema:givenName Graçaliz Pereira
    154 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.016337443435.08
    155 rdf:type schema:Person
    156 sg:pub.10.1007/978-3-540-69937-8_12 schema:sameAs https://app.dimensions.ai/details/publication/pub.1039314467
    157 https://doi.org/10.1007/978-3-540-69937-8_12
    158 rdf:type schema:CreativeWork
    159 sg:pub.10.1007/978-3-540-79126-3_46 schema:sameAs https://app.dimensions.ai/details/publication/pub.1001423557
    160 https://doi.org/10.1007/978-3-540-79126-3_46
    161 rdf:type schema:CreativeWork
    162 sg:pub.10.1007/978-3-7908-1787-4_1 schema:sameAs https://app.dimensions.ai/details/publication/pub.1011113308
    163 https://doi.org/10.1007/978-3-7908-1787-4_1
    164 rdf:type schema:CreativeWork
    165 sg:pub.10.1007/s10618-009-0131-8 schema:sameAs https://app.dimensions.ai/details/publication/pub.1040472498
    166 https://doi.org/10.1007/s10618-009-0131-8
    167 rdf:type schema:CreativeWork
    168 sg:pub.10.1023/b:numa.0000049453.95969.41 schema:sameAs https://app.dimensions.ai/details/publication/pub.1013594789
    169 https://doi.org/10.1023/b:numa.0000049453.95969.41
    170 rdf:type schema:CreativeWork
    171 https://app.dimensions.ai/details/publication/pub.1028562708 schema:CreativeWork
    172 https://doi.org/10.1002/int.21692 schema:sameAs https://app.dimensions.ai/details/publication/pub.1004831133
    173 rdf:type schema:CreativeWork
    174 https://doi.org/10.1016/j.asoc.2017.05.050 schema:sameAs https://app.dimensions.ai/details/publication/pub.1085757906
    175 rdf:type schema:CreativeWork
    176 https://doi.org/10.1016/j.ejor.2012.10.009 schema:sameAs https://app.dimensions.ai/details/publication/pub.1027542075
    177 rdf:type schema:CreativeWork
    178 https://doi.org/10.1016/j.ejor.2015.01.018 schema:sameAs https://app.dimensions.ai/details/publication/pub.1022523866
    179 rdf:type schema:CreativeWork
    180 https://doi.org/10.1016/j.fss.2003.10.031 schema:sameAs https://app.dimensions.ai/details/publication/pub.1013982946
    181 rdf:type schema:CreativeWork
    182 https://doi.org/10.1016/j.fss.2016.09.011 schema:sameAs https://app.dimensions.ai/details/publication/pub.1037747174
    183 rdf:type schema:CreativeWork
    184 https://doi.org/10.1016/j.ins.2009.11.035 schema:sameAs https://app.dimensions.ai/details/publication/pub.1014417709
    185 rdf:type schema:CreativeWork
    186 https://doi.org/10.1016/j.ins.2011.05.003 schema:sameAs https://app.dimensions.ai/details/publication/pub.1016095835
    187 rdf:type schema:CreativeWork
    188 https://doi.org/10.1016/j.ins.2017.12.029 schema:sameAs https://app.dimensions.ai/details/publication/pub.1099930458
    189 rdf:type schema:CreativeWork
    190 https://doi.org/10.1016/j.knosys.2013.10.002 schema:sameAs https://app.dimensions.ai/details/publication/pub.1026846443
    191 rdf:type schema:CreativeWork
    192 https://doi.org/10.1016/j.knosys.2016.12.004 schema:sameAs https://app.dimensions.ai/details/publication/pub.1020211955
    193 rdf:type schema:CreativeWork
    194 https://doi.org/10.1017/cbo9781139644150 schema:sameAs https://app.dimensions.ai/details/publication/pub.1098777020
    195 rdf:type schema:CreativeWork
    196 https://doi.org/10.1109/fuzz-ieee.2015.7337911 schema:sameAs https://app.dimensions.ai/details/publication/pub.1093971321
    197 rdf:type schema:CreativeWork
    198 https://doi.org/10.1109/fuzz-ieee.2017.8015433 schema:sameAs https://app.dimensions.ai/details/publication/pub.1093640388
    199 rdf:type schema:CreativeWork
    200 https://doi.org/10.1109/tfuzz.2015.2453020 schema:sameAs https://app.dimensions.ai/details/publication/pub.1061607026
    201 rdf:type schema:CreativeWork
    202 https://doi.org/10.1109/tip.2002.801126 schema:sameAs https://app.dimensions.ai/details/publication/pub.1061640742
    203 rdf:type schema:CreativeWork
    204 https://doi.org/10.1109/vcip.2016.7805430 schema:sameAs https://app.dimensions.ai/details/publication/pub.1094398693
    205 rdf:type schema:CreativeWork
    206 https://doi.org/10.1109/weit.2011.19 schema:sameAs https://app.dimensions.ai/details/publication/pub.1094208238
    207 rdf:type schema:CreativeWork
    208 https://doi.org/10.1111/j.1467-8659.2009.01544.x schema:sameAs https://app.dimensions.ai/details/publication/pub.1010584785
    209 rdf:type schema:CreativeWork
    210 https://doi.org/10.1142/9789813146976_0036 schema:sameAs https://app.dimensions.ai/details/publication/pub.1096101302
    211 rdf:type schema:CreativeWork
    212 https://www.grid.ac/institutes/grid.410476.0 schema:alternateName Universidad Publica De Navarra
    213 schema:name Centro Ciências Computacionais, Universidade Federal do Rio Grande Campus Carreiros, 96201-900, Rio Grande, Brazil
    214 Depto. of Automática y Computación, Universidad Publica de Navarra Campus Arrosadía, 31006, Pamplona, Spain
    215 Institute of Smart Cities, Universidad Publica de Navarra Campus Arrosadía, 31006, Pamploma, Spain
    216 rdf:type schema:Organization
    217 https://www.grid.ac/institutes/grid.411233.6 schema:alternateName Federal University of Rio Grande do Norte
    218 schema:name Depart. de Informática e Matemática Aplicada, Universidade Federal do Rio Grande do Norte Campus Universitário, 59072-970, Natal, Brazil
    219 rdf:type schema:Organization
    220 https://www.grid.ac/institutes/grid.440789.6 schema:alternateName Slovak University of Technology in Bratislava
    221 schema:name Department of Mathematics, Slovak University of Technology, Radlinského 11, 81005, Bratislava, Slovakia
    222 rdf:type schema:Organization
     




    Preview window. Press ESC to close (or click here)


    ...