Interval Sugeno Integral With Preference

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989592%3A15310%2F20%3A73603756" target="_blank" >RIV/61989592:15310/20:73603756 - isvavai.cz</a>
Result on the web
<a href="https://obd.upol.cz/id_publ/333183642" target="_blank" >https://obd.upol.cz/id_publ/333183642</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1109/TFUZZ.2019.2908127" target="_blank" >10.1109/TFUZZ.2019.2908127</a>

Result language
angličtina
Original language name
Interval Sugeno Integral With Preference
Original language description
Sugeno Integral is based on Fuzzy Integral Inference and widely used in applications such as decision making and computational intelligence. When concerned inputs are intervals, directly using Sugeno Integral to respectively aggregate the lower bounds and upper bounds of those intervals has limitations and does not embody fuzzy integral inference. This study analyzes the fuzzy integral inference in interval environment, defines some more suitable orderings on the set of all intervals in [0, 1], i.e., the congruent $lambda $-ordering, and then proposes the Interval Sugeno Integral with preference. The novel aggregation technique proposed in this study proves to better embody fuzzy integral inference when performing Sugeno Integral.
Czech name
—
Czech description
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Type
J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database
CEP classification
—
OECD FORD branch
10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Project
<a href="/en/project/GA18-06915S" target="_blank" >GA18-06915S: New approaches to aggregation operators in analysis and processing of data</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Publication year
2020
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

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