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Fuzzy Gauge Capability (Cg and Cgk) through Buckley Approach

Seyed Habib A. Rahmati; Mohsen Sadegh Amalnick

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  "inLanguage": {
    "alternateName": "eng", 
    "@type": "Language", 
    "name": "English"
  "description": "Different terms of the Statistical Process Control (SPC)\nhas sketch in the fuzzy environment. However, Measurement System\nAnalysis (MSA), as a main branch of the SPC, is rarely investigated\nin fuzzy area. This procedure assesses the suitability of the data to be\nused in later stages or decisions of the SPC. Therefore, this research\nfocuses on some important measures of MSA and through a new\nmethod introduces the measures in fuzzy environment. In this\nmethod, which works based on Buckley approach, imprecision and\nvagueness nature of the real world measurement are considered\nsimultaneously. To do so, fuzzy version of the gauge capability (Cg\nand Cgk) are introduced. The method is also explained through\nexample clearly.", 
  "license": "", 
  "creator": [
      "@type": "Person", 
      "name": "Seyed Habib A. Rahmati"
      "@type": "Person", 
      "name": "Mohsen Sadegh Amalnick"
  "headline": "Fuzzy Gauge Capability (Cg and Cgk) through Buckley Approach", 
  "image": "", 
  "datePublished": "2015-07-01", 
  "url": "", 
  "version": "10002207", 
  "keywords": [
    "gauge capability", 
  "@context": "", 
  "identifier": "", 
  "@id": "", 
  "@type": "ScholarlyArticle", 
  "name": "Fuzzy Gauge Capability (Cg and Cgk) through Buckley Approach"
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