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Expert-Based Method of Integrated Waste
Management Systems for Developing
Fuzzy Cognitive Map
Adrienn Buruzs, Mikl
s F. Hatw
gner and L
szl
T. K
czy
ó
á
á
ó
ó
Abstract Movement towards more sustainable waste management practice has
been identi
ed as a priority in the whole of EU. The EU Waste Management
Strategy
s requirements emphasize waste prevention; recycling and reuse; and
improving
'
final disposal and monitoring. In addition, in Hungary the national waste
strategy requires an increase in the household waste recycling and recovery rates.
Integrated waste management system (IWMS) can be de
ned as the selection and
application of suitable and available techniques, technologies and management
programs to achieve waste management objectives and goals. In this paper, the
concept of
ned as factors that change the status quo of an
existing waste management system in either positive or negative direction. Due to
the complexity and uncertainty occurring in sustainable waste management sys-
tems, we propose the use of fuzzy cognitive map (FCM) and bacterial evolutionary
algorithm (BEA) methods to support the planning and decision making process of
integrated systems, as the combination of the FCM and BEA seem to be suitable to
model complex mechanisms such as IWMS. Since the FCM is formed for a selected
system by determining the concepts and their relationships, it is possible to quan-
titatively simulate the system considering its parameters. The goal of optimization
was to
'
key drivers
'
are de
find such a connection matrix for FCM that makes possible to generate the
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