Title of article :
Spatial ordered weighted averaging: incorporating
spatially variable attitude towards risk in spatial
multi-criteria decision-making
Author/Authors :
C.K. Makropoulos، نويسنده , , 1، نويسنده , , D. Butler، نويسنده ,
Issue Information :
دوهفته نامه با شماره پیاپی سال 2006
Abstract :
The paper discusses a decompositioneanalysiseaggregation approach to multi-criteria spatial decision-making and proposes
a novel aggregation method applicable to problems of the object-location or suitability for application type, concentrating on
methodological rather than software development aspects. The approach allows the decision maker to: (a) break the problem down
into a series of elementary (easier to understand) problems, (b) analyse them (in the broad sense of the word), and then (c) produce
an answer for the complex problem by aggregating the answers derived for the elementary problems. The choice of methodology
used for this aggregation is very important as different aggregating techniques may yield different results to the (same) original
problem. The method presented here, which is in effect an extension of the ordered weighted averaging (OWA) method into a spatial
decision-making technique, is termed spatial ordered weighted averaging (SOWA). The main advantage of the method proposed is
the incorporation of spatially variable attitude to risk into the decision-making process. The mathematical background of the method
and an example of its application in urban water management are presented and discussed. The authors suggest that the method
could be useful as an analytical and decision-making tool for the incorporation of spatially variable risk perception in GIS-based
decision support systems.
Keywords :
Ordered weighted averaging , Spatially variable risk perception , Suitability evaluation , Multi-criteria spatial decision support
Journal title :
Environmental Modelling and Software
Journal title :
Environmental Modelling and Software