Abstract modelling of the impact of activities of economic entities on the social system
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F26867184%3A_____%2F17%3AN0000014" target="_blank" >RIV/26867184:_____/17:N0000014 - isvavai.cz</a>
Result on the web
<a href="http://dx.doi.org/10.11118/actaun201765030965" target="_blank" >http://dx.doi.org/10.11118/actaun201765030965</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.11118/actaun201765030965" target="_blank" >10.11118/actaun201765030965</a>
Alternative languages
Result language
angličtina
Original language name
Abstract modelling of the impact of activities of economic entities on the social system
Original language description
Economic entities as integral parts of the social system have an impact on it. The complexity of structures and uncertainty of behaviour which are also conditioned by incorporating the human factor are the typical characteristics of economic entities and the social system. The lack of precise measurement data as well as precise information is their typical feature. Methods of creating computer models of such systems must therefore be based on uncertain, incomplete or approximate data and hypothetical assumptions. The paper deals with the synthesis of the abstract model of the expert system for determining the level of corporate social responsibility of an enterprise (CSR) with the use of methods of artificial intelligence. The linguistic rule model is built on the basis of the expert determination of the level of CSR based on the level of care for employees, level of supplier‑customer relations, level of its ecological behaviour, and compliance with legal obligations. The linguistic modelling method is based on the theoretical approach to fuzzy set mathematics and fuzzy logic. The aim of the paper is the presentation of the system for determining the level of CSR with the use of non‑conventional non‑numerical methods as well as simulative presentation of the efficiency of its functions. The above‑mentioned expert system is a relevant module of the built hierarchical structure aimed at the research of impacts of activities of economic entities on the social system.
Czech name
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Czech description
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Classification
Type
J<sub>SC</sub> - Article in a specialist periodical, which is included in the SCOPUS database
CEP classification
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OECD FORD branch
50202 - Applied Economics, Econometrics
Result continuities
Project
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Continuities
N - Vyzkumna aktivita podporovana z neverejnych zdroju
Others
Publication year
2017
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
Acta Universitatis Agriculturae et Silviculturae Mendelianae Brunensis
ISSN
12118516
e-ISSN
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Volume of the periodical
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Issue of the periodical within the volume
3
Country of publishing house
US - UNITED STATES
Number of pages
11
Pages from-to
965–976
UT code for WoS article
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EID of the result in the Scopus database
2-s2.0-85021804883