Comparison of stocks using a fuzzy decision matrix

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989592%3A15310%2F17%3A73583423" target="_blank" >RIV/61989592:15310/17:73583423 - 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
Comparison of stocks using a fuzzy decision matrix
Original language description
Fuzzy decision matrices, recently interpreted as a fuzzy rule-based system, represent a tool for solving decision-making problems under risk where the information about the states of the world and/or about the future outcomes of alternatives is vague. In the paper, we apply a fuzzy decision matrix to the following problem: Two stocks are to be compared based on the expected values and variances of their yields. The future yields of the stocks depend on the fact which of the possible states of the economy will occur. The states of the economy are described only vaguely; they are modelled by fuzzy sets on the universal set on which the probability distribution is given. The yields of the two stocks under the states of the economy are set expertly by fuzzy numbers.
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. International Scientific Conference Proceedings
ISBN
978-80-244-5233-3
ISSN
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e-ISSN
neuvedeno
Number of pages
8
Pages from-to
165-172
Publisher name
Univerzita Palackého v Olomouci
Place of publication
Olomouc
Event location
Olomouc
Event date
Sep 7, 2017
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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