Linguistic approximation using fuzzy 2-tuples in investment decision making

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989592%3A15310%2F15%3A33154829" target="_blank" >RIV/61989592:15310/15:33154829 - isvavai.cz</a>
Result on the web
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DOI - Digital Object Identifier
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Result language
angličtina
Original language name
Linguistic approximation using fuzzy 2-tuples in investment decision making
Original language description
The paper focuses on linguistic approximation methods for the outputs of mathematical decision support models in the context of investment decision making. Since the decision makers in this context are frequently lay- men in mathematics, the ability of the models to provide understandable and easily interpretable results is of great importance. We explore the possibili- ties of using the fuzzy 2-tuples concept introduced by Herrera et al. [2] for linguistic approximation and propose a method of linguistic approximation of fuzzy-number-type outputs suitable for the use in investment decision support. The performance of the proposed method is discussed on a practical example of mutual fund selection.
Czech name
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Czech description
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Project
<a href="/en/project/GA14-02424S" target="_blank" >GA14-02424S: Methods of operations research for decision support under uncertainty</a><br>
Continuities
S - Specificky vyzkum na vysokych skolach

Publication year
2015
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection
Mathematical Methods in Economics MME 2015 - conference proceedings
ISBN
978-80-261-0539-8
ISSN
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e-ISSN
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Number of pages
6
Pages from-to
817-822
Publisher name
Západočeská univerzita
Place of publication
Plzeň
Event location
Cheb
Event date
Sep 9, 2015
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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