Qualitative modeling macroeconomics indicators for prediction of progress branch

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F62156489%3A43110%2F10%3A00161232" target="_blank" >RIV/62156489:43110/10:00161232 - isvavai.cz</a>

Výsledek na webu

—

DOI - Digital Object Identifier

—

Jazyk výsledku

angličtina

Název v původním jazyce

Qualitative modeling macroeconomics indicators for prediction of progress branch

Popis výsledku v původním jazyce

A qualitative modelling philosophy has been developed in an effort to produce a general and reasonably unified common sense approach to the modelling of unique, complex and unsteady state systems. Economics, Ecology, Sociology and Politics are sciences,which study such systems. An integration of sub models from those sciences into supermodels is inevitable if realistic decision making tasks are analysed. Therefore conventional formal tools (e.g. statistics) cannot be correctly applied because of lack of information. Qualitative variables are quantified using three values only -- positive (increasing), zero (constant) and negative (decreasing). Knowledge items of qualitative nature (e.g. if productivity goes up then profit does not decrease) are oftenthe only available information. The classical quantitative tools cannot deal with such information items. However, qualitative models can absorb shallow qualitative knowledge and generate all possible scenarios i.e. qualitative solutions.

Název v anglickém jazyce

Qualitative modeling macroeconomics indicators for prediction of progress branch

Popis výsledku anglicky

A qualitative modelling philosophy has been developed in an effort to produce a general and reasonably unified common sense approach to the modelling of unique, complex and unsteady state systems. Economics, Ecology, Sociology and Politics are sciences,which study such systems. An integration of sub models from those sciences into supermodels is inevitable if realistic decision making tasks are analysed. Therefore conventional formal tools (e.g. statistics) cannot be correctly applied because of lack of information. Qualitative variables are quantified using three values only -- positive (increasing), zero (constant) and negative (decreasing). Knowledge items of qualitative nature (e.g. if productivity goes up then profit does not decrease) are oftenthe only available information. The classical quantitative tools cannot deal with such information items. However, qualitative models can absorb shallow qualitative knowledge and generate all possible scenarios i.e. qualitative solutions.

Druh

J_x - Nezařazeno - Článek v odborném periodiku (Jimp, Jsc a Jost)

CEP obor

AE - Řízení, správa a administrativa

OECD FORD obor

—

Projekt

—

Návaznosti

Z - Vyzkumny zamer (s odkazem do CEZ)

Rok uplatnění

2010

Kód důvěrnosti údajů

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

Název periodika

Acta Universitatis agriculturae et silviculturae Mendelianae Brunensis : Acta of Mendel University of agriculture and forestry Brno = Acta Mendelovy zemědělské a lesnické univerzity v Brně

ISSN

1211-8516

e-ISSN

—

Svazek periodika

LVIII

Číslo periodika v rámci svazku

6

Stát vydavatele periodika

CZ - Česká republika

Počet stran výsledku

9

Strana od-do

—

Kód UT WoS článku

—

EID výsledku v databázi Scopus

—