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Intuitionistic Fuzzy Inference System with Genetic Tuning for Predicting Financial Performance

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216275%3A25410%2F18%3A39915957" target="_blank" >RIV/00216275:25410/18:39915957 - isvavai.cz</a>

  • Result on the web

    <a href="https://ieeexplore.ieee.org/document/8711515" target="_blank" >https://ieeexplore.ieee.org/document/8711515</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1109/ICCIA.2018.00022" target="_blank" >10.1109/ICCIA.2018.00022</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Intuitionistic Fuzzy Inference System with Genetic Tuning for Predicting Financial Performance

  • Original language description

    Intuitionistic fuzzy inference systems are used to model the uncertainty associated with positive and negative information and preferences. Here, we propose a novel intuitionistic fuzzy inference system of the Takagi-Sugeno-Kang type with genetic tuning. A genetic fuzzy apriori algorithm is used to obtain both the set of if-then rules and the initial values of the premise parameters. Then, a genetic algorithm is applied to tune the premise and consequent parameters of the intuitionistic fuzzy inference system. We demonstrate the effectiveness of the proposed system for predicting corporate financial performance and show that the system has higher prediction accuracy than state-of-the-art fuzzy inference systems.

  • 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

    3rd International Conference on Computational Intelligence and Applications (ICCIA)

  • ISBN

    978-1-5386-9572-2

  • ISSN

  • e-ISSN

  • Number of pages

    6

  • Pages from-to

    81-86

  • Publisher name

    IEEE (Institute of Electrical and Electronics Engineers)

  • Place of publication

    New York

  • Event location

    Hong Kong

  • Event date

    Jul 28, 2018

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article

    000470235800015