The development, operation and maintenance of

\r\nIntegrated Waste Management Systems (IWMS) affects essentially

\r\nthe sustainable concern of every region. The features of such systems

\r\nhave great influence on all of the components of sustainability. In

\r\norder to reach the optimal way of processes, a comprehensive

\r\nmapping of the variables affecting the future efficiency of the system

\r\nis needed such as analysis of the interconnections among the

\r\ncomponents and modeling of their interactions. The planning of a

\r\nIWMS is based fundamentally on technical and economical

\r\nopportunities and the legal framework. Modeling the sustainability

\r\nand operation effectiveness of a certain IWMS is not in the scope of

\r\nthe present research. The complexity of the systems and the large

\r\nnumber of the variables require the utilization of a complex approach

\r\nto model the outcomes and future risks. This complex method should

\r\nbe able to evaluate the logical framework of the factors composing

\r\nthe system and the interconnections between them. The authors of

\r\nthis paper studied the usability of the Fuzzy Cognitive Map (FCM)

\r\napproach modeling the future operation of IWMS’s. The approach

\r\nrequires two input data set. One is the connection matrix containing

\r\nall the factors affecting the system in focus with all the

\r\ninterconnections. The other input data set is the time series, a

\r\nretrospective reconstruction of the weights and roles of the factors.

\r\nThis paper introduces a novel method to develop time series by

\r\ncontent analysis.<\/p>\r\n","references":null,"publisher":"World Academy of Science, Engineering and Technology","index":"Open Science Index 96, 2014"}