A knowledge-based system for house layout selection

被引：5
|
作者：
González-Uriel, A
Roanes-Lozano, E
机构：
[1] Univ Complutense Madrid, Fac Educ, Dept Algebra, E-28040 Madrid, Spain
[2] Univ Politecn Madrid, ETS Arquitectura, Dept Ideac Graf Arquitecton, E-28040 Madrid, Spain
来源：
MATHEMATICS AND COMPUTERS IN SIMULATION | 2004年 / 66卷 / 01期
基金：
美国国家科学基金会;
关键词：
industrialized building; dwelling design processes; knowledge-based systems;
D O I：
10.1016/j.matcom.2004.02.020
中图分类号：
TP39 [计算机的应用];
学科分类号：
081203 ; 0835 ;
摘要：
Automatic reasoning is applied to building design problems with a large number of standardized conditions, such as normal housing. Industrialized home building can provide quick-to-build low-cost dwellings, but these buildings often are not as appropriate for the local climate, building site or to the occupant needs as tailor-made homes. In this article we present a knowledge-based system (KBS) that combines advantages from both methods. It considers the data corresponding to the building site (dimensions, local building codes,...), the climate and the purchaser (budget, family size,...) and recommends a particular design. (C) 2004 IMACS. Published by Elsevier B.V. All rights reserved.
引用
收藏
页码：43 / 54
页数：12
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