Measure Identification for the Choquet Integral: A Python Module

Fuzzy integrals are common concepts which are used to aggregate input values in practical applications. Aggregation of inputs using fuzzy integrals opens up numerous possibilities for modeling interaction, redundancy, and synergy of inputs. However, fuzzy integrals need a fuzzy measure to start this...

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Veröffentlicht in:	International journal of computational intelligence systems Jg. 15; H. 1; S. 1 - 10
Hauptverfasser:	Türkarslan, Ezgi, Torra, Vicenç
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Dordrecht Springer Netherlands 21.10.2022 Springer Nature B.V Springer
Schlagworte:	Artificial Intelligence Belief functions Computational Intelligence Control Engineering Fuzzy measure identification Integrals k-additive fuzzy measure Learning Mathematical Logic and Foundations Mechatronics Modules Monotony Möbius transform Python Redundancy Research Article Robotics Belief functions additive fuzzy measure Möbius transform Fuzzy measure identification Python
ISSN:	1875-6883, 1875-6891, 1875-6883
Online-Zugang:	Volltext
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