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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Bibliographic Details
Published 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 Vol. 15; pp. 81 - 82
Main Authors:	斎藤, 正男, 斎藤, 恵一, 納富, 一宏, 橋本, 洋
Format:	Journal Article
Language:	Japanese
Published:	バイオメディカル・ファジィ・システム学会 2002 Biomedical Fuzzy Systems Association
Subjects:	Choquet integral Endoscopic image diagnosis Fuzzy measure identification Genetic algorithm λ-Fuzzy measure
ISSN:	1345-1510, 2424-2586
Online Access:	Get full text
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Summary:	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