Selection of tools for managerial decision support – the identification of methods of choice in linguistic approximation

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989592%3A15210%2F17%3A73582217" target="_blank" >RIV/61989592:15210/17:73582217 - isvavai.cz</a>

Výsledek na webu

<a href="http://knowledgeconference.upol.cz/downloads/2017-Knowledge_for_Market_Use_Proceedings.pdf" target="_blank" >http://knowledgeconference.upol.cz/downloads/2017-Knowledge_for_Market_Use_Proceedings.pdf</a>

DOI - Digital Object Identifier

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Jazyk výsledku

angličtina

Název v původním jazyce

Selection of tools for managerial decision support – the identification of methods of choice in linguistic approximation

Popis výsledku v původním jazyce

Linguistic approximation is a mathematical tool that transforms outputs of mathematical models (in the form of real numbers, intervals, fuzzy sets, etc.) into natural language. It therefore allows for the presentation of results of decision-support models in natural language in the final step of decision support. This is a crucial step especially for complex mathematical models whose results can be hard-to-interpret for non- experienced users (managers, laymen). For them the linguistic approximation provides easy-to-understand alternative outputs of mathematical models. The paper strives to suggest an analytical framework to select the appropriate method for linguistic approximation based on numerical experimentation and graphical summaries of outputs. One distance measure of fuzzy sets is selected to show the applicability of the proposed analytical framework. The goal is to provide managers and practitioners in economics and finance with results they can understand and apply.

Název v anglickém jazyce

Selection of tools for managerial decision support – the identification of methods of choice in linguistic approximation

Popis výsledku anglicky

Linguistic approximation is a mathematical tool that transforms outputs of mathematical models (in the form of real numbers, intervals, fuzzy sets, etc.) into natural language. It therefore allows for the presentation of results of decision-support models in natural language in the final step of decision support. This is a crucial step especially for complex mathematical models whose results can be hard-to-interpret for non- experienced users (managers, laymen). For them the linguistic approximation provides easy-to-understand alternative outputs of mathematical models. The paper strives to suggest an analytical framework to select the appropriate method for linguistic approximation based on numerical experimentation and graphical summaries of outputs. One distance measure of fuzzy sets is selected to show the applicability of the proposed analytical framework. The goal is to provide managers and practitioners in economics and finance with results they can understand and apply.

Druh

D - Stať ve sborníku

CEP obor

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OECD FORD obor

50202 - Applied Economics, Econometrics

Projekt

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Návaznosti

S - Specificky vyzkum na vysokych skolach

Rok uplatnění

2017

Kód důvěrnosti údajů

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

Název statě ve sborníku

Knowledge for Market Use 2017: People in Economics – Decisions, Behavior and Normative Models

ISBN

978-80-244-5233-3

ISSN

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e-ISSN

neuvedeno

Počet stran výsledku

8

Strana od-do

606-613

Název nakladatele

Univerzita Palackého v Olomouci

Místo vydání

Olomouc

Místo konání akce

Olomouc

Datum konání akce

7. 9. 2017

Typ akce podle státní příslušnosti

EUR - Evropská akce

Kód UT WoS článku

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