Granular Computing View Homepage


Ontology type: schema:Periodical     


Journal Info

START YEAR

N/A

PUBLISHER

Springer International Publishing

LANGUAGE

en

HOMEPAGE

http://link.springer.com/journal/41066

Recent publications latest 20 shown

  • 2019-04-12 Shape recognition through multi-level fusion of features and classifiers
  • 2019-04-10 A four-way decision-making approach using interval-valued fuzzy sets, rough set and granular computing: a new approach in data classification and decision-making
  • 2019-04-02 Granular computing-based multi-level interactive attention networks for targeted sentiment analysis
  • 2019-04 Optimization of granulation for fuzzy controllers of autonomous mobile robots using the Firefly Algorithm
  • 2019-04 Special issue on “Type-2 fuzzy systems and granular computing”
  • 2019-04 The determination of three-way decisions with decision-theoretic rough sets considering the loss function evaluated by multiple experts
  • 2019-04 Pythagorean fuzzy prioritized aggregation operators and their application to multi-attribute group decision making
  • 2019-04 Quasiconvex possibility distribution with application in decision-making
  • 2019-04 Granular computing-based approach of rule learning for binary classification
  • 2019-04 Optimization of type-1, interval type-2 and general type-2 fuzzy inference systems using a hierarchical genetic algorithm for modular granular neural networks
  • 2019-04 Computing with words for student strategy evaluation in an examination
  • 2019-04 Type-2 fuzzy reliability–redundancy allocation problem and its solution using particle-swarm optimization algorithm
  • 2019-04 Improved possibility degree method for ranking intuitionistic fuzzy numbers and their application in multiattribute decision-making
  • 2019-04 A new fuzzy learning vector quantization method for classification problems based on a granular approach
  • 2019-03-30 Fast feature selection algorithm for neighborhood rough set model based on Bucket and Trie structures
  • 2019-03-29 Granulation-based self-training for the semi-supervised classification of remote-sensing images
  • 2019-03-28 Multi-granular-based n-valued neutrosophic context analysis
  • 2019-03-22 Group decision making under social influences based on information entropy
  • 2019-03-12 Multiattribute group decision making based on interval-valued Pythagorean fuzzy Einstein geometric aggregation operators
  • 2019-02-22 Multiple classifiers fusion and CNN feature extraction for handwritten digits recognition
  • 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://scigraph.springernature.com/ontologies/product-market-codes/T11014", 
            "inDefinedTermSet": "http://scigraph.springernature.com/ontologies/product-market-codes/", 
            "name": "Computational Intelligence", 
            "type": "DefinedTerm"
          }, 
          {
            "id": "http://scigraph.springernature.com/ontologies/product-market-codes/I21000", 
            "inDefinedTermSet": "http://scigraph.springernature.com/ontologies/product-market-codes/", 
            "name": "Artificial Intelligence", 
            "type": "DefinedTerm"
          }
        ], 
        "description": "

    Granular Computing constitutes an extensive body of knowledge, which dwells upon individual formalisms of information granules (established within various settings including set theory, interval calculus, fuzzy sets, rough sets, shadowed sets, probabilistic granules) and unifies them to form a coherent methodological and developmental environment. Granular Computing is about formation, processing and communicating information granules.

    \u00a0

    Aims The Journal of Granular Computing provides a rapid dissemination of timely and important results. The aim is to bring recent advances in the dynamically expanding area including its fundamentals, algorithmic developments, and applications. It supports the integration of theoretical and practical results leading to advanced applications. The journal establishes an international forum and aims to address the needs of the academic community as well as to appeal to practitioners and graduate students by publishing time-to-time review material and surveys. It serves as a platform fostering comparisons, extensions, and innovative applications.

    The scope The journal covers a broad spectrum of subjects of Granular Computing embracing the theory, methodology, and applied side of the discipline including case studies. Theoretical and applied studies involving fuzzy sets, interval analysis, rough sets, shadowed sets, probabilistic sets yet well positioned in the synergistic setup of Granular Computing and making reference to the fundamentals of the area are welcome.

    Several categories of manuscripts are considered including regular papers, correspondences, reviews and case studies.

    ", "editor": [ { "familyName": "Pedrycz", "givenName": "Witold", "type": "Person" } ], "id": "sg:journal.1154931", "inLanguage": [ "en" ], "isAccessibleForFree": false, "issn": [ "2364-4966", "2364-4974" ], "license": "Hybrid (Open Choice)", "name": "Granular Computing", "productId": [ { "name": "springer_id", "type": "PropertyValue", "value": [ "41066" ] }, { "name": "dimensions_id", "type": "PropertyValue", "value": [ "154931" ] } ], "publisher": { "name": "Springer International Publishing", "type": "Organization" }, "publisherImprint": "Springer", "sameAs": [ "https://app.dimensions.ai/discover/publication?and_facet_source_title=jour.1154931" ], "sdDataset": "journals", "sdDatePublished": "2019-03-18T11:05", "sdLicense": "https://scigraph.springernature.com/explorer/license/", "sdPublisher": { "name": "Springer Nature - SN SciGraph project", "type": "Organization" }, "sdSource": "file:///home/ubuntu/piotr/scigraph_export/journals_20190313_sn_only.jsonl", "type": "Periodical", "url": "http://link.springer.com/journal/41066" } ]
     

    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/journal.1154931'

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

    curl -H 'Accept: application/n-triples' 'https://scigraph.springernature.com/journal.1154931'

    Turtle is a human-readable linked data format.

    curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/journal.1154931'

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

    curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/journal.1154931'


     

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

    43 TRIPLES      19 PREDICATES      23 URIs      17 LITERALS      5 BLANK NODES

    Subject Predicate Object
    1 sg:journal.1154931 schema:about sg:ontologies/product-market-codes/I21000
    2 sg:ontologies/product-market-codes/T11014
    3 schema:description <p>Granular Computing constitutes an extensive body of knowledge, which dwells upon individual formalisms of information granules (established within various settings including set theory, interval calculus, fuzzy sets, rough sets, shadowed sets, probabilistic granules) and unifies them to form a coherent methodological and developmental environment. Granular Computing is about formation, processing and communicating information granules. </p><p> </p><p><b>Aims</b> The Journal of Granular Computing provides a rapid dissemination of timely and important results. The aim is to bring recent advances in the dynamically expanding area including its fundamentals, algorithmic developments, and applications. It supports the integration of theoretical and practical results leading to advanced applications. The journal establishes an international forum and aims to address the needs of the academic community as well as to appeal to practitioners and graduate students by publishing time-to-time review material and surveys. It serves as a platform fostering comparisons, extensions, and innovative applications.</p><p><b>The scope</b> The journal covers a broad spectrum of subjects of Granular Computing embracing the theory, methodology, and applied side of the discipline including case studies. Theoretical and applied studies involving fuzzy sets, interval analysis, rough sets, shadowed sets, probabilistic sets yet well positioned in the synergistic setup of Granular Computing and making reference to the fundamentals of the area are welcome. </p><p>Several categories of manuscripts are considered including regular papers, correspondences, reviews and case studies. </p>
    4 schema:editor N888880d54c914c68827b2d7cba8a373f
    5 schema:inLanguage en
    6 schema:isAccessibleForFree false
    7 schema:issn 2364-4966
    8 2364-4974
    9 schema:license Hybrid (Open Choice)
    10 schema:name Granular Computing
    11 schema:productId N91eaad56b17f4752a1cd150e615adb5b
    12 Ned71d55debb3452a8dd8bd396f2e19bc
    13 schema:publisher N9676f6071ced46e99b5ad1e18949a88e
    14 schema:publisherImprint Springer
    15 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_source_title=jour.1154931
    16 schema:sdDatePublished 2019-03-18T11:05
    17 schema:sdLicense https://scigraph.springernature.com/explorer/license/
    18 schema:sdPublisher N8c81158511d34a06951d84e6a853fe3b
    19 schema:url http://link.springer.com/journal/41066
    20 sgo:license sg:explorer/license/
    21 sgo:sdDataset journals
    22 rdf:type schema:Periodical
    23 N888880d54c914c68827b2d7cba8a373f rdf:first Nb10f3b606502461aa0a724ba31efe642
    24 rdf:rest rdf:nil
    25 N8c81158511d34a06951d84e6a853fe3b schema:name Springer Nature - SN SciGraph project
    26 rdf:type schema:Organization
    27 N91eaad56b17f4752a1cd150e615adb5b schema:name springer_id
    28 schema:value 41066
    29 rdf:type schema:PropertyValue
    30 N9676f6071ced46e99b5ad1e18949a88e schema:name Springer International Publishing
    31 rdf:type schema:Organization
    32 Nb10f3b606502461aa0a724ba31efe642 schema:familyName Pedrycz
    33 schema:givenName Witold
    34 rdf:type schema:Person
    35 Ned71d55debb3452a8dd8bd396f2e19bc schema:name dimensions_id
    36 schema:value 154931
    37 rdf:type schema:PropertyValue
    38 sg:ontologies/product-market-codes/I21000 schema:inDefinedTermSet sg:ontologies/product-market-codes/
    39 schema:name Artificial Intelligence
    40 rdf:type schema:DefinedTerm
    41 sg:ontologies/product-market-codes/T11014 schema:inDefinedTermSet sg:ontologies/product-market-codes/
    42 schema:name Computational Intelligence
    43 rdf:type schema:DefinedTerm
     




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


    ...