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CumInCAD is a Cumulative Index about publications in Computer Aided Architectural Design
supported by the sibling associations ACADIA, CAADRIA, eCAADe, SIGraDi, ASCAAD and CAAD futures

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_id	5c22
authors	Durmisevic, S., Ciftcioglu, Ö. and Sariyildiz, S.
year	2001
title	Quantifying the Qualitative Design Aspects
source	Architectural Information Management [19th eCAADe Conference Proceedings / ISBN 0-9523687-8-1] Helsinki (Finland) 29-31 August 2001, pp. 111-116
doi	https://doi.org/10.52842/conf.ecaade.2001.111
summary	Architecture is a mixture of art and technique. This implies that the architect deals not only with engineering aspects that can be easily quantified and thereafter processed, but deals with aesthetics as well which is in first place qualitative and therefore rather difficult to estimate and numerically represent. As an example, in such cases, these ‘qualitative quantities’ are expressed in linguistic form which should be somehow expressed in numerical form in order to treat such data by powerful and conclusive numerical analysis methods. Expressions such as: bright colour, light room, large space are some of these examples. These expressions are fuzzy concepts whose actual interpretation is hidden and all of them together attach a qualitative value to a certain space. To deal with such information the emerging technologies of the last decade can provide an important aid. One of them is the soft computing technology that can deal with such soft data. In this paper, based on the case studies, we explain the potential of using soft computing techniques.
keywords	Qualitative Design Data, Information Processing, Soft Computing, Knowledge Modeling, Neuro-Fuzzy Network
series	eCAADe
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last changed	2022/06/07 07:55

_id	7ffb
authors	Ciftcioglu, Özer and Durmisevic, Sanja
year	2001
title	Knowledge management by information mining
source	Proceedings of the Ninth International Conference on Computer Aided Architectural Design Futures [ISBN 0-7923-7023-6] Eindhoven, 8-11 July 2001, pp. 533-545
summary	Novel information mining method dealing with soft computing is described. By this method, in the first step, receptive fields of design information are identified so that connections among various design aspects are structured. By means of this, complex relationships among various design aspects are modeled with a paradigm, which is non-parametric and generic. In the second step, the structured connections between various pairs of aspects are graded according to the relevancy to each other. This is accomplished by means of sensitivity analysis, which is a computational tool operating on the model established and based on a concept measuring the degree of dependencies between pairs of quantities. The degree of relationships among various design aspects so determined enables one to select the most important independent aspects in the context of design or decision-making process. The paper deals with the description of the method and presents an architectural case study where numerical and as well as non-numerical (linguistic) design information are treated together, demonstrating a ranked or elective information employment which can be of great value for possible design intervention during reconstruction.
keywords	Knowledge Management, Information Mining, Sensitivity Analysis
series	CAAD Futures
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last changed	2006/11/07 07:22

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