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An Experimental Study of the Choquet Integral based on Conditional Aggregation Operators.

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Τίτλος: An Experimental Study of the Choquet Integral based on Conditional Aggregation Operators.
Συγγραφείς: Basarik, Stanislav
Πηγή: Experimental Mathematics; 2026, Vol. 35 Issue 2, p302-324, 23p
Θεματικοί όροι: Aggregation operators, Decision making, Image processing, Fuzzy integrals, Fuzzy measure theory, Computer software execution, Empirical research
Περίληψη: In this paper, we present an experimental study of a novel generalized Choquet integral based on conditional aggregation operators in decision making and image processing. The concept of this integral, recently introduced by Boczek et al. [6], is interesting both theoretically and practically due to its real-life applications. The standard Choquet integral is a special case of this generalization. We follow up on similar studies and their findings, which were analyzed in the context of the standard Choquet integral and its various generalizations. We demonstrate the benefits of our approaches. For both experiments, we offer a software implementation of the generalized Choquet integral to facilitate their execution. [ABSTRACT FROM AUTHOR]
Copyright of Experimental Mathematics is the property of Taylor & Francis Ltd and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
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  Data: An Experimental Study of the Choquet Integral based on Conditional Aggregation Operators.
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  Data: Experimental Mathematics; 2026, Vol. 35 Issue 2, p302-324, 23p
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  Data: <searchLink fieldCode="DE" term="%22Aggregation+operators%22">Aggregation operators</searchLink><br /><searchLink fieldCode="DE" term="%22Decision+making%22">Decision making</searchLink><br /><searchLink fieldCode="DE" term="%22Image+processing%22">Image processing</searchLink><br /><searchLink fieldCode="DE" term="%22Fuzzy+integrals%22">Fuzzy integrals</searchLink><br /><searchLink fieldCode="DE" term="%22Fuzzy+measure+theory%22">Fuzzy measure theory</searchLink><br /><searchLink fieldCode="DE" term="%22Computer+software+execution%22">Computer software execution</searchLink><br /><searchLink fieldCode="DE" term="%22Empirical+research%22">Empirical research</searchLink>
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  Label: Abstract
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  Data: In this paper, we present an experimental study of a novel generalized Choquet integral based on conditional aggregation operators in decision making and image processing. The concept of this integral, recently introduced by Boczek et al. [6], is interesting both theoretically and practically due to its real-life applications. The standard Choquet integral is a special case of this generalization. We follow up on similar studies and their findings, which were analyzed in the context of the standard Choquet integral and its various generalizations. We demonstrate the benefits of our approaches. For both experiments, we offer a software implementation of the generalized Choquet integral to facilitate their execution. [ABSTRACT FROM AUTHOR]
– Name: Abstract
  Label:
  Group: Ab
  Data: <i>Copyright of Experimental Mathematics is the property of Taylor & Francis Ltd and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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        Type: general
      – SubjectFull: Decision making
        Type: general
      – SubjectFull: Image processing
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      – SubjectFull: Fuzzy integrals
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      – SubjectFull: Fuzzy measure theory
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              M: 04
              Text: 2026
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              Y: 2026
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