Sugeno-Like Operators in Preference and Uncertain Environments
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989592%3A15310%2F23%3A73621110" target="_blank" >RIV/61989592:15310/23:73621110 - isvavai.cz</a>
Result on the web
<a href="https://obd.upol.cz/id_publ/333200997" target="_blank" >https://obd.upol.cz/id_publ/333200997</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1109/TFUZZ.2022.3217369" target="_blank" >10.1109/TFUZZ.2022.3217369</a>
Alternative languages
Result language
angličtina
Original language name
Sugeno-Like Operators in Preference and Uncertain Environments
Original language description
Sugeno-like operators are binary operations-based generalization of Sugeno integral and are still defined on real valued fuzzy measures. This article discusses the aggregation methods in the situation where both inputs and fuzzy measures are attached with numerical uncertainties. That is, when an input vector and a fuzzy measure are given, each of the entries of the vector and the measure value on each subset can be attached with numerical uncertainty degrees. To fulfill this meaningful aim of performing Sugeno-like aggregation with numerical uncertainties, it needs two parts of work. We first formally define basic uncertain vector and basic uncertain fuzzy measure. Then, we discuss the methods to construct or adjust basic uncertain vector and basic uncertain fuzzy measure in two situations, the general fuzzy measure situation and the probability measure only situation, respectively. With uncertain input and uncertain fuzzy measure, we then accordingly propose the corresponding restricted Sugeno-like operator, for which some different logic restrictions are analyzed. All the proposals also have full consistency for they can immediately degenerates into Sugeno-like operator when the attached uncertainties disappear.
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
2023
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
1941-0034
Volume of the periodical
31
Issue of the periodical within the volume
6
Country of publishing house
US - UNITED STATES
Number of pages
7
Pages from-to
2092-2098
UT code for WoS article
001001059800028
EID of the result in the Scopus database
2-s2.0-85141535993