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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Bibliographic Details
Published in:	International journal of computational intelligence systems Vol. 15; no. 1; pp. 1 - 10
Main Authors:	Türkarslan, Ezgi, Torra, Vicenç
Format:	Journal Article
Language:	English
Published:	Dordrecht Springer Netherlands 21.10.2022 Springer Nature B.V Springer
Subjects:	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 Access:	Get full text
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