Information Measures in the Intuitionistic Fuzzy Framework and Their Relationships
Identifikátory výsledku
Kód výsledku v IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989592%3A15310%2F18%3A73590127" target="_blank" >RIV/61989592:15310/18:73590127 - isvavai.cz</a>
Výsledek na webu
<a href="http://dx.doi.org/10.1109/TFUZZ.2017.2738603" target="_blank" >http://dx.doi.org/10.1109/TFUZZ.2017.2738603</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1109/TFUZZ.2017.2738603" target="_blank" >10.1109/TFUZZ.2017.2738603</a>
Alternativní jazyky
Jazyk výsledku
angličtina
Název v původním jazyce
Information Measures in the Intuitionistic Fuzzy Framework and Their Relationships
Popis výsledku v původním jazyce
This contribution first addresses axiomatic definitions of some important information measures of Atanassov's intuitionistic fuzzy sets (AIFSs), such as, distance measure, similarity measure, entropy measure, and recently developed knowledge measure. After that, we study the relationship between similarity measures and knowledge measures, and that between distance measures and knowledge measures for AIFSs. In particular, we investigate the transformations of similarity measures into knowledge measures for AIFSs and vice versa. These transformations can induce more formulae to define the distance measures, the similarity measures, and the knowledge measures for AIFSs. In addition, to support these processes, suitable examples are provided for each of the introduced transformations. The contribution ends by introducing numerical examples with a discussion of results by using several types of knowledge measures and similarity measures.
Název v anglickém jazyce
Information Measures in the Intuitionistic Fuzzy Framework and Their Relationships
Popis výsledku anglicky
This contribution first addresses axiomatic definitions of some important information measures of Atanassov's intuitionistic fuzzy sets (AIFSs), such as, distance measure, similarity measure, entropy measure, and recently developed knowledge measure. After that, we study the relationship between similarity measures and knowledge measures, and that between distance measures and knowledge measures for AIFSs. In particular, we investigate the transformations of similarity measures into knowledge measures for AIFSs and vice versa. These transformations can induce more formulae to define the distance measures, the similarity measures, and the knowledge measures for AIFSs. In addition, to support these processes, suitable examples are provided for each of the introduced transformations. The contribution ends by introducing numerical examples with a discussion of results by using several types of knowledge measures and similarity measures.
Klasifikace
Druh
J<sub>imp</sub> - Článek v periodiku v databázi Web of Science
CEP obor
—
OECD FORD obor
10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
Návaznosti výsledku
Projekt
—
Návaznosti
S - Specificky vyzkum na vysokych skolach
Ostatní
Rok uplatnění
2018
Kód důvěrnosti údajů
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Údaje specifické pro druh výsledku
Název periodika
IEEE TRANSACTIONS ON FUZZY SYSTEMS
ISSN
1063-6706
e-ISSN
—
Svazek periodika
26
Číslo periodika v rámci svazku
3
Stát vydavatele periodika
US - Spojené státy americké
Počet stran výsledku
12
Strana od-do
1626-1637
Kód UT WoS článku
000433957900043
EID výsledku v databázi Scopus
2-s2.0-85029187924