Some general fusion and transformation frames for merging basic uncertain information
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61988987%3A17610%2F24%3AA25038DU" target="_blank" >RIV/61988987:17610/24:A25038DU - isvavai.cz</a>
Result on the web
<a href="https://linkinghub.elsevier.com/retrieve/pii/S0888613X2300213X" target="_blank" >https://linkinghub.elsevier.com/retrieve/pii/S0888613X2300213X</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1016/j.ijar.2023.109082" target="_blank" >10.1016/j.ijar.2023.109082</a>
Alternative languages
Result language
angličtina
Original language name
Some general fusion and transformation frames for merging basic uncertain information
Original language description
The Basic Uncertain Information (BUI) is a recently introduced type of uncertain data that has rapidly undergone development and practical application. The existing aggregation operators designed for BUI solely encompass the weighted mean and Choquet integral. The present study puts forth a set of general information fusion frameworks and methodologies aimed at gathering BUI granules. The first mode yields BUI granules as its output, whereas the subsequent two modes generate outputs in the form of interval values. The paper includes numerical examples and applications that correspond to the presented findings. The present study conducts an analysis of various mathematical properties pertaining to the three BUI fusion modes that have been proposed. These properties include idempotency, monotonicities, certainty derived inclusion, certainty monotonicity, homogeneities, non-symmetricity, comonotone additivities, and continuities. The proposals and analyses presented in this work are of a general nature and have the potential to inspire various practical specifications.
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
10100 - Mathematics
Result continuities
Project
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Continuities
I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace
Others
Publication year
2024
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
INTERNATIONAL JOURNAL OF APPROXIMATE REASONING
ISSN
0888-613X
e-ISSN
1873-4731
Volume of the periodical
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Issue of the periodical within the volume
January 2024
Country of publishing house
US - UNITED STATES
Number of pages
13
Pages from-to
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UT code for WoS article
001125941200001
EID of the result in the Scopus database
2-s2.0-85177842134