Two-step method for multiple criteria investment decision making: mutual funds selection using FuzzME software
by Tomáš Talášek; Eva Bohanesová; Jana Talašová
International Journal of Mathematics in Operational Research (IJMOR), Vol. 9, No. 4, 2016

Abstract: 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 realised 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.

Online publication date: Sun, 16-Oct-2016

The full text of this article is only available to individual subscribers or to users at subscribing institutions.

 
Existing subscribers:
Go to Inderscience Online Journals to access the Full Text of this article.

Pay per view:
If you are not a subscriber and you just want to read the full contents of this article, buy online access here.

Complimentary Subscribers, Editors or Members of the Editorial Board of the International Journal of Mathematics in Operational Research (IJMOR):
Login with your Inderscience username and password:

Username:        Password:          Forgotten your password?

Want to subscribe?
A subscription gives you complete access to all articles in the current issue, as well as to all articles in the previous three years (where applicable). See our Orders page to subscribe.

If you still need assistance, please email subs@inderscience.com