Forecasting the Reader's Demand Level Based on Factors of Interest in the Book
Identifikátory výsledku
Kód výsledku v IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F44555601%3A13440%2F21%3A43897024" target="_blank" >RIV/44555601:13440/21:43897024 - isvavai.cz</a>
Výsledek na webu
<a href="https://ceur-ws.org/Vol-3101/Paper12.pdf" target="_blank" >https://ceur-ws.org/Vol-3101/Paper12.pdf</a>
DOI - Digital Object Identifier
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Alternativní jazyky
Jazyk výsledku
angličtina
Název v původním jazyce
Forecasting the Reader's Demand Level Based on Factors of Interest in the Book
Popis výsledku v původním jazyce
The selection and description of a set of factors related to the study of the process of interest in the book has been done, which became the initial precondition to assess the prognostic level of reader?s demand. The growth of risks of the low reader?s demand level among young people is indicated. A formalized version of the relationships between the factors of demand for the book is represented using a semantic network that provides a graphical and linguistic representation of reading intensity factors. Using the methodology of hierarchy modelling, the levels of factors preferences are established and the weight priorities of their influence on the studied process are calculated. An optimized variant of factors ranking according to the importance of forming the intensity of the reader?s demand is obtained. Based on the methods of fuzzy set theory, the membership functions of linguistic variables (factors of interest in the book) are calculated, fuzzy knowledge bases are formed and fuzzy logical equations are derived, which became the basis for prognostic assessment of the reader?s demand level.
Název v anglickém jazyce
Forecasting the Reader's Demand Level Based on Factors of Interest in the Book
Popis výsledku anglicky
The selection and description of a set of factors related to the study of the process of interest in the book has been done, which became the initial precondition to assess the prognostic level of reader?s demand. The growth of risks of the low reader?s demand level among young people is indicated. A formalized version of the relationships between the factors of demand for the book is represented using a semantic network that provides a graphical and linguistic representation of reading intensity factors. Using the methodology of hierarchy modelling, the levels of factors preferences are established and the weight priorities of their influence on the studied process are calculated. An optimized variant of factors ranking according to the importance of forming the intensity of the reader?s demand is obtained. Based on the methods of fuzzy set theory, the membership functions of linguistic variables (factors of interest in the book) are calculated, fuzzy knowledge bases are formed and fuzzy logical equations are derived, which became the basis for prognostic assessment of the reader?s demand level.
Klasifikace
Druh
D - Stať ve sborníku
CEP obor
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OECD FORD obor
10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
Návaznosti výsledku
Projekt
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Návaznosti
I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace
Ostatní
Rok uplatnění
2021
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
CEUR Workshop Proceedings
ISBN
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ISSN
1613-0073
e-ISSN
1613-0073
Počet stran výsledku
18
Strana od-do
176-191
Název nakladatele
CEUR-WS
Místo vydání
Germany
Místo konání akce
Kherson, Ukraine
Datum konání akce
16. 9. 2021
Typ akce podle státní příslušnosti
WRD - Celosvětová akce
Kód UT WoS článku
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