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