Internal Fusion Functions

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61988987%3A17610%2F18%3AA1901M6P" target="_blank" >RIV/61988987:17610/18:A1901M6P - isvavai.cz</a>

Výsledek na webu

<a href="http://dx.doi.org/10.1109/TFUZZ.2017.2686345" target="_blank" >http://dx.doi.org/10.1109/TFUZZ.2017.2686345</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1109/TFUZZ.2017.2686345" target="_blank" >10.1109/TFUZZ.2017.2686345</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Internal Fusion Functions

Popis výsledku v původním jazyce

In this work we investigate a mechanism for fusing a set of inputs (values) in such a way that the procedure does not create new information during the process. In order to do so, we introduce internal fusion functions, a family of fusion functions in which the output always corresponds to some of thegiven inputs. We perform an in-depth theoretical study of internal fusion functions and, furthermore, we propose three different construction methods which are based on (1) an arbitrary fusion function and a partition of the domain; (2) a linear order and (3) a minimization mechanism using penalty functions.Finally, we illustrate this paper with the application of internal fusion functions in two image processing algorithms where a set of images must be fused, namely multi-focus image and denoised image fusion, as well as in an example of multi-class problem, where we fuse a set of score matrices obtained by several classification algorithms.

Název v anglickém jazyce

Internal Fusion Functions

Popis výsledku anglicky

In this work we investigate a mechanism for fusing a set of inputs (values) in such a way that the procedure does not create new information during the process. In order to do so, we introduce internal fusion functions, a family of fusion functions in which the output always corresponds to some of thegiven inputs. We perform an in-depth theoretical study of internal fusion functions and, furthermore, we propose three different construction methods which are based on (1) an arbitrary fusion function and a partition of the domain; (2) a linear order and (3) a minimization mechanism using penalty functions.Finally, we illustrate this paper with the application of internal fusion functions in two image processing algorithms where a set of images must be fused, namely multi-focus image and denoised image fusion, as well as in an example of multi-class problem, where we fuse a set of score matrices obtained by several classification algorithms.

Druh

J_imp - Článek v periodiku v databázi Web of Science

CEP obor

—

OECD FORD obor

10101 - Pure mathematics

Projekt

<a href="/cs/project/LQ1602" target="_blank" >LQ1602: IT4Innovations excellence in science</a><br>

Návaznosti

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

Rok uplatnění

2018

Kód důvěrnosti údajů

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

Název periodika

IEEE T FUZZY SYST

ISSN

1063-6706

e-ISSN

—

Svazek periodika

26

Číslo periodika v rámci svazku

2

Stát vydavatele periodika

US - Spojené státy americké

Počet stran výsledku

17

Strana od-do

487-503

Kód UT WoS článku

000428613500008

EID výsledku v databázi Scopus

2-s2.0-85045007033