Two-step method for multiple criteria investment decision making: mutual funds selection using FuzzME software

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989592%3A15310%2F16%3A33154653" target="_blank" >RIV/61989592:15310/16:33154653 - isvavai.cz</a>

Výsledek na webu

<a href="http://dx.doi.org/10.1504/IJMOR.2016.079811" target="_blank" >http://dx.doi.org/10.1504/IJMOR.2016.079811</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1504/IJMOR.2016.079811" target="_blank" >10.1504/IJMOR.2016.079811</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Two-step method for multiple criteria investment decision making: mutual funds selection using FuzzME software

Popis výsledku v původním jazyce

The paper presents a decision support method for financial investment decision making - an area where uncertainty is inherent. Investment decision support requires understandable tools able to deal with imprecision and provide easily interpretable outputs to the decision makers. We therefore propose a two--step decision support model that employs two different mathematical approaches. The first step represents investment strategy recommendation and is realized on the base of Mamdani's inference using linguistic fuzzy rules. The second step involves a preselection of mutual funds in accordance with the investment strategy proposed in the first step and provides decision support for mutual funds selection based on multiple criteria (fuzzy OWA aggregation is used). The output is presented to the investor as a picture (graphical representation of fuzzy numbers) with linguistic labels and real number representations (defuzzified values) of the fuzzy outputs. A numerical example of mutual funds selection using FuzzME software is presented.

Název v anglickém jazyce

Two-step method for multiple criteria investment decision making: mutual funds selection using FuzzME software

Popis výsledku anglicky

The paper presents a decision support method for financial investment decision making - an area where uncertainty is inherent. Investment decision support requires understandable tools able to deal with imprecision and provide easily interpretable outputs to the decision makers. We therefore propose a two--step decision support model that employs two different mathematical approaches. The first step represents investment strategy recommendation and is realized on the base of Mamdani's inference using linguistic fuzzy rules. The second step involves a preselection of mutual funds in accordance with the investment strategy proposed in the first step and provides decision support for mutual funds selection based on multiple criteria (fuzzy OWA aggregation is used). The output is presented to the investor as a picture (graphical representation of fuzzy numbers) with linguistic labels and real number representations (defuzzified values) of the fuzzy outputs. A numerical example of mutual funds selection using FuzzME software is presented.

Druh

J_x - Nezařazeno - Článek v odborném periodiku (Jimp, Jsc a Jost)

CEP obor

BB - Aplikovaná statistika, operační výzkum

OECD FORD obor

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Projekt

<a href="/cs/project/GA14-02424S" target="_blank" >GA14-02424S: Metody operačního výzkumu pro podporu rozhodování v podmínkách neurčitosti</a><br>

Návaznosti

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Rok uplatnění

2016

Kód důvěrnosti údajů

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

Název periodika

International Journal of Mathematics in Operational Research

ISSN

1757-5850

e-ISSN

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Svazek periodika

9

Číslo periodika v rámci svazku

4

Stát vydavatele periodika

GB - Spojené království Velké Británie a Severního Irska

Počet stran výsledku

15

Strana od-do

487-501

Kód UT WoS článku

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EID výsledku v databázi Scopus

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