All

What are you looking for?

All
Projects
Results
Organizations

Quick search

  • Projects supported by TA ČR
  • Excellent projects
  • Projects with the highest public support
  • Current projects

Smart search

  • That is how I find a specific +word
  • That is how I leave the -word out of the results
  • “That is how I can find the whole phrase”

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

The result's identifiers

  • Result code in 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>

  • Result on the web

    <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>

Alternative languages

  • Result language

    angličtina

  • Original language name

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

  • Original language description

    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.

  • Czech name

  • Czech description

Classification

  • Type

    J<sub>x</sub> - Unclassified - Peer-reviewed scientific article (Jimp, Jsc and Jost)

  • CEP classification

    BB - Applied statistics, operational research

  • OECD FORD branch

Result continuities

  • Project

    <a href="/en/project/GA14-02424S" target="_blank" >GA14-02424S: Methods of operations research for decision support under uncertainty</a><br>

  • Continuities

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

Others

  • Publication year

    2016

  • Confidentiality

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

Data specific for result type

  • Name of the periodical

    International Journal of Mathematics in Operational Research

  • ISSN

    1757-5850

  • e-ISSN

  • Volume of the periodical

    9

  • Issue of the periodical within the volume

    4

  • Country of publishing house

    GB - UNITED KINGDOM

  • Number of pages

    15

  • Pages from-to

    487-501

  • UT code for WoS article

  • EID of the result in the Scopus database