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Interval-valued intuitionistic fuzzy cognitive maps for stock index forecasting

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216275%3A25410%2F18%3A39913511" target="_blank" >RIV/00216275:25410/18:39913511 - isvavai.cz</a>

  • Result on the web

    <a href="https://ieeexplore.ieee.org/abstract/document/8397170" target="_blank" >https://ieeexplore.ieee.org/abstract/document/8397170</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1109/EAIS.2018.8397170" target="_blank" >10.1109/EAIS.2018.8397170</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Interval-valued intuitionistic fuzzy cognitive maps for stock index forecasting

  • Original language description

    There are several applications of time series forecasting for which accurate knowledge of it is not required. In those cases it is enough to deal with the approximation of time series by intervals i.e. interval-valued time series (ITS). In this paper we propose a new method for the forecasting of univariate ITS. A part of the theoretical contribution of the paper is the development of the forecasting model which is based on fuzzy cognitive maps (FCMs). Instead of fuzzy sets used in standard FCMs we apply interval-valued intuitionistic fuzzy sets as their concepts. In this way we get interval-valued intuitionistic fuzzy cognitive maps (IVI-FCMs) which we use for the forecasting of ITS. To validate IVI-FCMs we apply them for the forecasting of the ITS made up by the daily minima and maxima of Nasdaq-100 stock index. Experimental evaluation proved high efficiency of the proposed approach.

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

  • OECD FORD branch

    10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Result continuities

  • Project

    <a href="/en/project/GA16-19590S" target="_blank" >GA16-19590S: Topic and sentiment analysis of multiple textual sources for corporate financial decision-making</a><br>

  • Continuities

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

Others

  • Publication year

    2018

  • Confidentiality

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

Data specific for result type

  • Article name in the collection

    2018 IEEE International Conference on Evolving and Adaptive Intelligent Systems, EAIS 2018

  • ISBN

    978-1-5386-1376-4

  • ISSN

    2330-4863

  • e-ISSN

  • Number of pages

    7

  • Pages from-to

    1-7

  • Publisher name

    IEEE (Institute of Electrical and Electronics Engineers)

  • Place of publication

    New York

  • Event location

    Rhodos

  • Event date

    May 25, 2018

  • Type of event by nationality

    EUR - Evropská akce

  • UT code for WoS article

    000467078900001