ショケ積分モデルの構築とその応用(一般講演,ライフサイエンスとソフトンピューティング)

This paper describes a method of determining fuzzy measures for building the Choquet integral model and a medical application. Since fuzzy measures do not require additivity and their property is monotonicity, these measures can be interpreted as subjectivity measures of persons who evaluate objects...

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Veröffentlicht in:バイオメディカル・ファジィ・システム学会大会講演論文集 Jg. 15; S. 81 - 82
Hauptverfasser: 斎藤, 正男, 斎藤, 恵一, 納富, 一宏, 橋本, 洋
Format: Journal Article
Sprache:Japanisch
Veröffentlicht: バイオメディカル・ファジィ・システム学会 2002
Biomedical Fuzzy Systems Association
Schlagworte:
Choquet integral
Endoscopic image diagnosis
Fuzzy measure identification
Genetic algorithm
λ-Fuzzy measure
ISSN:1345-1510, 2424-2586
Online-Zugang:Volltext
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Zusammenfassung:This paper describes a method of determining fuzzy measures for building the Choquet integral model and a medical application. Since fuzzy measures do not require additivity and their property is monotonicity, these measures can be interpreted as subjectivity measures of persons who evaluate objects. λ-fuzzy measure is utilized in the model and the densities of fuzzy measures and the parameter λ, are obtained by genetic algorithms often used in combinatorial optimization problems. An endoscopic image diagnostic model constructed by the method which shows its applicability is illustrated.
ISSN:1345-1510
2424-2586
DOI:10.24466/pacbfsa.15.0_81