Developing an intelligent system for supporting fashion design decisions

被引：2

作者：

Zeng, Xianyi ^{[1
]}

Ge, Xianhong ^{[1
]}

Bruniaux, Pascal ^{[1
]}

机构：

[1] ENSAIT, F-59100 Roubaix, France

来源：

COMPUTATIONAL INTELLIGENCE IN DECISION AND CONTROL | 2008年 / 1卷

关键词：

D O I：

10.1142/9789812799470_0187

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

In this paper, we propose an intelligent system for extracting fashion design elements and modeling complex relations between concrete technical design elements and abstract fashion design elements. This system can effectively support decisions of fashion and garment designers in two aspects: 1) decompose abstract fashion design elements used by fashion designers as their design objectives into concrete design elements for garment design and production; 2) deduce or predict fashion messages implied in garments from concrete technical design elements. In this intelligent system, decision trees and fuzzy logic have been applied for finding inferring rules from a learning base. Learning data related to fashion design elements and technical design elements are collected from various designers by evaluating a set of representative fashion images. The effectiveness of the proposed system has been effectively validated by several specific design examples.

引用

页码：1141 / 1146

页数：6

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