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_id	ddssup9622
id	ddssup9622
authors	Witlox, F.J.A., Arentze, T.A. and Timmermans, H.J.P.
year	1996
title	Constructing and consulting fuzzy decision tables
source	Timmermans, Harry (Ed.), Third Design and Decision Support Systems in Architecture and Urban Planning - Part two: Urban Planning Proceedings (Spa, Belgium), August 18-21, 1996
summary	In this paper, we investigate a methodological issue associated with the use of decision tables (DTs). In particular, a predominant problem concerns the categorization of the condition and action states in a DT. This categorization is assumed to exhibit a discrete (or crisp) character. Although sharply defined discrete categorizations imply an. accurate and precise decision-making, in many real time problems it proves to be a too stringent and severe assumption to impose on the choice maker. In order to solve this problem, we will enhance the DT formalism to incorporate elements from the theory of fuzzy sets. The construction of a fuzzy decision table (FDT) is explained in a step-by-step manner and illustrated by means of a brief example in the field of location theory. The paper concludes with an assessment of how to use and consult a FDT.
series	DDSS
last changed	2003/08/07 16:36

_id	ddssup9602
id	ddssup9602
authors	Arentze, T.A., Borgers, A.W.J. and Harry J.P.
year	1996
title	A knowledge-based model for developing location strategies in a DSS for retail planning
source	Timmermans, Harry (Ed.), Third Design and Decision Support Systems in Architecture and Urban Planning - Part two: Urban Planning Proceedings (Spa, Belgium), August 18-21, 1996
summary	Most DSS for retail planning are based on impact assessment models to support the evaluation of plan scenario's. This paper introduces a complementary knowledge-based model to support also the earlier stage of formulating plan scenario's. An analysis of the retail planning problem reveals the main lines of the strategies adopted by most Dutch planners and retailers to achieve their goals. A basic strategy that seems to be appropriate in most problem contexts is formulated in the form of a set of decision tables. Each decision table or system of decision tables specifies for a problem area decision rules to identify and analyse problems and to formulate possible actions. The model is implemented in a DSS where it is used in combination with quantitative impact assessment models. A case study in the area of daily good facilities demonstrates the approach. The major conclusion is that the knowledge-based approach and in particular the decision table technique provides interesting possibilities to implement planning task structures in a DSS environment.
series	DDSS
last changed	2003/11/21 15:16

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