ADDITIONAL CRITERIA IN FUZZY 2-LEVEL PATTERN-RECOGNITION

被引：3

作者：

KUNCHEVA, LI

机构：

[1] Central Laboratory of Bioinstrumentation and Automation, Bulgarian Academy of Sciences, 1113 Sofia, Acad. G. Bonchev Street

来源：

FUZZY SETS AND SYSTEMS | 1992年 / 47卷 / 03期

关键词：

FUZZY PATTERN RECOGNITION; FUZZY DECISION MAKING; MEDICINE; 2-LEVEL CLASSIFICATION;

D O I：

10.1016/0165-0114(92)90293-D

中图分类号：

TP301 [理论、方法];

学科分类号：

081202 ;

摘要：

Pattern recognition with fuzzy sets is considered with regard to medical diagnostic problems. An alternative interpretation of membership grade is suggested which expresses the degree of 'illness' of a patient with respect to a certain disease. A formal statement of a two-level fuzzy classifier is presented. The main emphasis is put on additional criteria designed to evaluate a fuzzy diagnostic decision for an unknown object. Two groups of criteria are formed - decision-making connected, and domain-dependent. The decision-making group of criteria can be viewed as related to the 'soft' consensus measure in group decisions theory. Interconnections between criteria are discussed. The notions proposed are illustrated with real medical data from the fields of aviation medicine and neonatology.

引用

页码：281 / 291

页数：11