Applications of Fuzzy Mathematical Programming to Investment Decisions
Identifikátory výsledku
Kód výsledku v IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26510%2F19%3APU132154" target="_blank" >RIV/00216305:26510/19:PU132154 - isvavai.cz</a>
Výsledek na webu
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DOI - Digital Object Identifier
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Alternativní jazyky
Jazyk výsledku
angličtina
Název v původním jazyce
Applications of Fuzzy Mathematical Programming to Investment Decisions
Popis výsledku v původním jazyce
The paper is focused on the problem and practical application of fuzzy mathematical programming to investment decision making process. Fuzzy logic uses vaguely characterized expert knowledge and allows the inclusion of subjective or intuitive characteristics of the expert in selectedmodels. Fuzzy logic is applied to the Czech stock market, specifically to stock titles of the PX index. The Fuzzy model contains four input variables and one output variable, whichdetermines whether the investment in a particular instrument is appropriate. Based on the model, the investor can generate decisions based on personal preferences and investment goals, which is an immense advantage of fuzzy logic.
Název v anglickém jazyce
Applications of Fuzzy Mathematical Programming to Investment Decisions
Popis výsledku anglicky
The paper is focused on the problem and practical application of fuzzy mathematical programming to investment decision making process. Fuzzy logic uses vaguely characterized expert knowledge and allows the inclusion of subjective or intuitive characteristics of the expert in selectedmodels. Fuzzy logic is applied to the Czech stock market, specifically to stock titles of the PX index. The Fuzzy model contains four input variables and one output variable, whichdetermines whether the investment in a particular instrument is appropriate. Based on the model, the investor can generate decisions based on personal preferences and investment goals, which is an immense advantage of fuzzy logic.
Klasifikace
Druh
O - Ostatní výsledky
CEP obor
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OECD FORD obor
50206 - Finance
Návaznosti výsledku
Projekt
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Návaznosti
S - Specificky vyzkum na vysokych skolach
Ostatní
Rok uplatnění
2019
Kód důvěrnosti údajů
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů