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A Model of Logical Inference and Membership Functions of Factors for the Printing Process Quality Formation

Identifikátory výsledku

  • Kód výsledku v IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F44555601%3A13440%2F20%3A43894677" target="_blank" >RIV/44555601:13440/20:43894677 - isvavai.cz</a>

  • Výsledek na webu

    <a href="https://www.researchgate.net/publication/334655783_A_Model_of_Logical_Inference_and_Membership_Functions_of_Factors_for_the_Printing_Process_Quality_Formation" target="_blank" >https://www.researchgate.net/publication/334655783_A_Model_of_Logical_Inference_and_Membership_Functions_of_Factors_for_the_Printing_Process_Quality_Formation</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1007/978-3-030-26474-1_42" target="_blank" >10.1007/978-3-030-26474-1_42</a>

Alternativní jazyky

  • Jazyk výsledku

    angličtina

  • Název v původním jazyce

    A Model of Logical Inference and Membership Functions of Factors for the Printing Process Quality Formation

  • Popis výsledku v původním jazyce

    Technological stages or separate procedures of the publishing and printing process involve relevant databases and a set of factors (criteria, parameters, requirements) to ensure their quality implementation. However, they are different in nature, purpose, setting type, peculiarities of impact and application methods, that complicates the generalizations and single formal reproduction of information. This fact causes the necessity for both bringing them to an universal metric database and using of the methods that would provide the research of the publishing and printing process from the standpoint of a single methodological basis, determining components of which are the methods of system and matrix analysis, the theory of hierarchical multilevel systems, the modelling theory, the operations research and the fuzzy set theory. The paper presents the model of logic inference, which determines the predictive quality indicators of the process of flatbed offset printing technique on the basis of fuzzy sets. An universal term-set of values and its corresponding linguistic terms of linguistic variables has been formed. The membership functions of linguistic variables have been designed and calculated which are the basis for the structure of the knowledge matrices and fuzzy logic equations as a prerequisite condition of formation and definition of the integral quality indicator of the printing process

  • Název v anglickém jazyce

    A Model of Logical Inference and Membership Functions of Factors for the Printing Process Quality Formation

  • Popis výsledku anglicky

    Technological stages or separate procedures of the publishing and printing process involve relevant databases and a set of factors (criteria, parameters, requirements) to ensure their quality implementation. However, they are different in nature, purpose, setting type, peculiarities of impact and application methods, that complicates the generalizations and single formal reproduction of information. This fact causes the necessity for both bringing them to an universal metric database and using of the methods that would provide the research of the publishing and printing process from the standpoint of a single methodological basis, determining components of which are the methods of system and matrix analysis, the theory of hierarchical multilevel systems, the modelling theory, the operations research and the fuzzy set theory. The paper presents the model of logic inference, which determines the predictive quality indicators of the process of flatbed offset printing technique on the basis of fuzzy sets. An universal term-set of values and its corresponding linguistic terms of linguistic variables has been formed. The membership functions of linguistic variables have been designed and calculated which are the basis for the structure of the knowledge matrices and fuzzy logic equations as a prerequisite condition of formation and definition of the integral quality indicator of the printing process

Klasifikace

  • Druh

    D - Stať ve sborníku

  • CEP obor

  • OECD FORD obor

    10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Návaznosti výsledku

  • Projekt

  • Návaznosti

    I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Ostatní

  • Rok uplatnění

    2020

  • Kód důvěrnosti údajů

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Údaje specifické pro druh výsledku

  • Název statě ve sborníku

    Advances in Intelligent Systems and Computing

  • ISBN

    978-3-030-26473-4

  • ISSN

    2194-5357

  • e-ISSN

    2194-5365

  • Počet stran výsledku

    13

  • Strana od-do

    609-621

  • Název nakladatele

    Springer Verlag

  • Místo vydání

    Cham

  • Místo konání akce

    Kherson

  • Datum konání akce

    21. 5. 2019

  • Typ akce podle státní příslušnosti

    WRD - Celosvětová akce

  • Kód UT WoS článku

    000623482600042