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

Result code in 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>
Result on the web
<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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Result language
angličtina
Original language name
Selection of tools for managerial decision support – the identification of methods of choice in linguistic approximation
Original language description
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.
Czech name
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Czech description
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Publication year
2017
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection
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
Number of pages
8
Pages from-to
606-613
Publisher name
Univerzita Palackého v Olomouci
Place of publication
Olomouc
Event location
Olomouc
Event date
Sep 7, 2017
Type of event by nationality
EUR - Evropská akce
UT code for WoS article
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