Forecasting the Reader's Demand Level Based on Factors of Interest in the Book

Result code in 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>

Result on the web

<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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Result language

angličtina

Original language name

Forecasting the Reader's Demand Level Based on Factors of Interest in the Book

Original language description

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.

Czech name

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Czech description

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Type

D - Article in proceedings

CEP classification

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OECD FORD branch

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

Project

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Continuities

I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Publication year

2021

Confidentiality

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

Article name in the collection

CEUR Workshop Proceedings

ISBN

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ISSN

1613-0073

e-ISSN

1613-0073

Number of pages

18

Pages from-to

176-191

Publisher name

CEUR-WS

Place of publication

Germany

Event location

Kherson, Ukraine

Event date

Sep 16, 2021

Type of event by nationality

WRD - Celosvětová akce

UT code for WoS article

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