Information Measures in the Intuitionistic Fuzzy Framework and Their Relationships
The result's identifiers
Result code in 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>
Result on the web
<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>
Alternative languages
Result language
angličtina
Original language name
Information Measures in the Intuitionistic Fuzzy Framework and Their Relationships
Original language description
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.
Czech name
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Czech description
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Classification
Type
J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database
CEP classification
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OECD FORD branch
10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
Result continuities
Project
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Continuities
S - Specificky vyzkum na vysokych skolach
Others
Publication year
2018
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
IEEE TRANSACTIONS ON FUZZY SYSTEMS
ISSN
1063-6706
e-ISSN
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Volume of the periodical
26
Issue of the periodical within the volume
3
Country of publishing house
US - UNITED STATES
Number of pages
12
Pages from-to
1626-1637
UT code for WoS article
000433957900043
EID of the result in the Scopus database
2-s2.0-85029187924