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Interval-Valued Intuitionistic Fuzzy Inference System for Supporting Corporate Financial Decisions

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216275%3A25410%2F18%3A39913378" target="_blank" >RIV/00216275:25410/18:39913378 - isvavai.cz</a>

  • Result on the web

    <a href="https://ieeexplore.ieee.org/abstract/document/8491620" target="_blank" >https://ieeexplore.ieee.org/abstract/document/8491620</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1109/FUZZ-IEEE.2018.8491620" target="_blank" >10.1109/FUZZ-IEEE.2018.8491620</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Interval-Valued Intuitionistic Fuzzy Inference System for Supporting Corporate Financial Decisions

  • Original language description

    Representing the inherent uncertainty in the corporate financial environment is critical for effective decision-making in this domain. This is attributed to the increasing complexity of such an environment. One way in which to address this issue is to represent financial attributes in terms of interval-valued intuitionistic fuzzy sets. In this paper, a novel interval-valued intuitionistic fuzzy inference system (IVIFIS) of the Takagi-Sugeno-Kang type is proposed. To calculate the output of the IVIFIS system, a defuzzification method is developed based on the weighted average of the consequents of if-then rules. To adapt the consequent parameters of the IVIFIS, a gradient algorithm is used. Then, by using two regression problems from the corporate financial domain, the dominance of the system over other state-of-the-art extensions of fuzzy inference systems is experimentally shown.

  • 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 Fuzzy Systems

  • ISBN

    978-1-5090-6020-7

  • ISSN

    1098-7584

  • e-ISSN

    neuvedeno

  • Number of pages

    7

  • Pages from-to

  • Publisher name

    IEEE (Institute of Electrical and Electronics Engineers)

  • Place of publication

    New York

  • Event location

    Rio de Janeiro

  • Event date

    Jul 8, 2018

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article

    000451248900178