Essec\Faculty\Model\Contribution {#2216
  #_index: "academ_contributions"
  #_id: "6033"
  #_source: array:26 [
    "id" => "6033"
    "slug" => "fuzzy-pls-path-modeling-for-crisp-and-interval-data-a-new-tool-for-handling-sensory-data"
    "yearMonth" => "2007-03"
    "year" => "2007"
    "title" => "Fuzzy PLS Path Modeling for Crisp and Interval Data: A New Tool for Handling Sensory Data"
    "description" => "ROMANO, R., ESPOSITO VINZI, V. et PALUMBO, F. (2007). Fuzzy PLS Path Modeling for Crisp and Interval Data: A New Tool for Handling Sensory Data."
    "authors" => array:3 [
      0 => array:3 [
        "name" => "ESPOSITO VINZI Vincenzo"
        "bid" => "B00067049"
        "slug" => "esposito-vinzi-vincenzo"
      ]
      1 => array:1 [
        "name" => "ROMANO R."
      ]
      2 => array:1 [
        "name" => "PALUMBO F."
      ]
    ]
    "ouvrage" => ""
    "keywords" => array:1 [
      0 => "Multi-block Statistical Methods"
    ]
    "updatedAt" => "2021-04-19 17:57:25"
    "publicationUrl" => null
    "publicationInfo" => array:3 [
      "pages" => null
      "volume" => null
      "number" => null
    ]
    "type" => array:2 [
      "fr" => "Communications dans une conférence"
      "en" => "Presentations at an Academic or Professional conference"
    ]
    "support_type" => array:2 [
      "fr" => null
      "en" => null
    ]
    "countries" => array:2 [
      "fr" => null
      "en" => null
    ]
    "abstract" => array:2 [
      "fr" => "In sensory analysis a panel of assessors scores blocks of sensory attributes for profiling products, thus yielding a three-way table crossing assessors, attributes and products. In this context, it is important to evaluate the panel performance as well as to synthesize the scores into a global assessment to investigate differences between products. This paper shows the advantages of either interval/fuzzy coding and fuzzy PLS path modeling in the context of sensory analysis. Specifically, as many path models as assessors are considered and compared in terms of fuzzy path coefficients so as to detect eventual differences between assessors. Furthermore, an ad hoc interval coding is used to collapse the tables over the assessors into a two-way table partitioned by the  ttributes. A fuzzy PLS path modeling provides two sets of synthesized assessments: the overall latent scores for each product and the partial latent scores for the different blocks of attributes."
      "en" => "In sensory analysis a panel of assessors scores blocks of sensory attributes for profiling products, thus yielding a three-way table crossing assessors, attributes and products. In this context, it is important to evaluate the panel performance as well as to synthesize the scores into a global assessment to investigate differences between products. This paper shows the advantages of either interval/fuzzy coding and fuzzy PLS path modeling in the context of sensory analysis. Specifically, as many path models as assessors are considered and compared in terms of fuzzy path coefficients so as to detect eventual differences between assessors. Furthermore, an ad hoc interval coding is used to collapse the tables over the assessors into a two-way table partitioned by the  ttributes. A fuzzy PLS path modeling provides two sets of synthesized assessments: the overall latent scores for each product and the partial latent scores for the different blocks of attributes."
    ]
    "authors_fields" => array:2 [
      "fr" => "Systèmes d'Information, Data Analytics et Opérations"
      "en" => "Information Systems, Data Analytics and Operations"
    ]
    "indexedAt" => "2024-12-22T03:21:45.000Z"
    "docTitle" => "Fuzzy PLS Path Modeling for Crisp and Interval Data: A New Tool for Handling Sensory Data"
    "docSurtitle" => "Presentations at an Academic or Professional conference"
    "authorNames" => "<a href="/cv/esposito-vinzi-vincenzo">ESPOSITO VINZI Vincenzo</a>, ROMANO R., PALUMBO F."
    "docDescription" => "<span class="document-property-authors">ESPOSITO VINZI Vincenzo, ROMANO R., PALUMBO F.</span><br><span class="document-property-authors_fields">Information Systems, Data Analytics and Operations</span> | <span class="document-property-year">2007</span>"
    "keywordList" => "<a href="#">Multi-block Statistical Methods</a>"
    "docPreview" => "<b>Fuzzy PLS Path Modeling for Crisp and Interval Data: A New Tool for Handling Sensory Data</b><br><span>2007-03 | Presentations at an Academic or Professional conference </span>"
    "docType" => "research"
    "publicationLink" => "<a href="#" target="_blank">Fuzzy PLS Path Modeling for Crisp and Interval Data: A New Tool for Handling Sensory Data</a>"
  ]
  +lang: "en"
  +"_type": "_doc"
  +"_score": 9.2542925
  +"parent": null
}