Expert-Based Method of Integrated Waste Management Systems for Developing Fuzzy Cognitive Map - Complex System Modelling and Control Through Intelligent Soft Computations - page 134

5 Summary

For large and complex systems it is extremely dif cult to describe the entire system

by a precise mathematical model (Jamshidi 2009 ). IWMSs are real and important
elements of our everyday life therefore problems generated from these systems are
real problems. From the unexpected results obtained, from the fact that the mutual
in uence matrix calculated from the observation data is so thoroughly different

from the matrix given by the experts, the obvious question raises whether the
approach and the objective results are mathematically stable and reliable enough in
terms of the uncertainty of the observed values.

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6 Further Research

Based on the above results, in the near future we intend to apply the systems of
systems (SoS) approach to regional IWMS.
A system is a collection of main factors and their interrelationships gathered
together to form a whole, greater than the sum of the parts (Boardman and Sauer
2009 ). The knowledge necessary for managing complex projects, for the devel-
opment of complicated systems, has not kept pace with the increasing complexity
and integration of these projects themselves. This increased complexity has per-
mitted some to establish distinctions among system projects and to propose a
framework of systems called system of systems (SoS).
Despite the fact that a waste management system consists of only six main
factors, it is obvious now that overviewing the whole procedure properly needs an
approach based on the systems of systems concept (Buruzs et al. 2013a ). The
challenge with the SoS emerges in the interoperability and interfacing of the
component systems.
SoS integration is a method to pursue development, integration, interoperability,
and optimization of systems to enhance performance, but it de

nitely needs a view
that includes all views of the disciplines associated with the constituent systems.
This can guarantee that among subsystems of different types and with various
in uence surfaces complete interoperability and seamless interfacing could be

provided, and thus a deeply justi

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able and relevant hierarchical adaptive FCM
network model of IWMS can be established that may be used for actually deter-
mining the optimal inputs belonging to any intended change in the sustainable
states while adequately predicting any unexpected emerging phenomena as well.

Acknowledgments The authors would like to thank to the National Science Research Fund
(OTKA) K105529, K108405, the Social Renewal Operational Programme (T Á MOP) 4.1.1.C-12/

1/KONV-2012-0017 grant for the support of the research.