A. Buruzs

55904229400

Publications - 22

Systemic Relationships Between Regional Sustainability and Waste Management

A. Buruzs

Publication Name: Studies in Fuzziness and Soft Computing

Publication Date: 2024-01-01

Volume: 427

Issue: Unknown

Page Range: 15-23

Description:

An assessment of local needs and conditions is essential to support an efficient waste management system, which can be used to select the components and waste management options that best meet these circumstances and their resource requirements. Each of these activities requires careful planning, but the model of sustainable municipal waste management offers a comprehensive interdisciplinary framework. The aim of the research is to develop and present a methodology as an environmental engineering problem that can be applied in practice to evaluate the sustainability of regional municipal waste management systems. As a result of the research, an integrated and interdisciplinary approach will be developed that can be effectively applied at regional level and give an accurate picture of the actual evolution of the role and impact of the waste management planning process and its implementation.

Open Access: Yes

DOI: 10.1007/978-3-031-37959-8_2

Text Mining Based on the Literature of Waste Management as the Source of a Reconstructed Time Series

A. Buruzs

Publication Name: Studies in Fuzziness and Soft Computing

Publication Date: 2024-01-01

Volume: 427

Issue: Unknown

Page Range: 71-80

Description:

As no statistical time series was available for the new refined, “split” concepts, the next goal of the research was generating a time series for all 33 factors, based on information in the literature, relying on the available expert judgment. Relying only on expert knowledge would have led to rather unreliable results, thus, an objective method for analysing the texts of the literature had to be proposed. Text mining seemed to be the easiest way to go, especially, as it promised to be the most suitable way to extract the time series in the time period covered by these literatures for all the new concepts. We assumed that this approach would allow the extraction of structured knowledge from the available unstructured or only slightly structured text files. Thus, the next step was to gather and transform the textual knowledge and information from these different document sources with applying proper machine intelligence. A specialised text mining expert company offered help as “sub-contractors” to the team’s research.

Open Access: Yes

DOI: 10.1007/978-3-031-37959-8_6

Identification of the Main Factors (Concepts) of Waste Management for Building the Initial FCM Model

A. Buruzs

Publication Name: Studies in Fuzziness and Soft Computing

Publication Date: 2024-01-01

Volume: 427

Issue: Unknown

Page Range: 25-31

Description:

For the first phase of the modelling, the authors created a graph and a connection matrix of six system components based on the literature. The RWMS differs from conventional waste management methods in that it involves stakeholders in decision-making; focuses on waste prevention and resource exploration; takes into account interactions with other systems and seeks to promote integration between different scales of residence (city, region, and region). ‘Technology’ in this sense includes both ‘hardware’ and ‘software’ (van de Klundert and Anschutz [10]). One of the pillars of the sustainability of the system is the involvement of stakeholders, because it leads to a sense of responsibility for the success of the system, at least when it serves the political and economic interests of the parties. At the beginning of this research, the authors examined the driving forces and sustainability conditions of the RWMS and identified the main aspects based on the literature, which will form the starting FCM model.

Open Access: Yes

DOI: 10.1007/978-3-031-37959-8_3

Rethinking the Set of Concepts—Applying Expert Analysis by the Workshop Method

A. Buruzs

Publication Name: Studies in Fuzziness and Soft Computing

Publication Date: 2024-01-01

Volume: 427

Issue: Unknown

Page Range: 33-43

Description:

The contradictions of the historical data with the six-component model necessarily led to a refinement of the FCM model. The parts of the system under discussion are systems in themselves, and to investigate their deeper structure is essential to understanding the operation of the system. The subsystems form this way a system of systems”. Up-to-date engineering systems are often extremely complex, and they are usually composed of a multitude of interacting units, which are called subsystems. In areas where expert assessment is crucial, the process of expert participation in workshop form may ensure that the various opinions and interests are integrated into synergies and this way, sustainable solutions sought for can be found as a result of joint decision-making. Regional Waste Management Systems (RWMS) are also such complex systems where expert domain knowledge plays an important role, and which can always be subdivided into interconnected or separate subsystems and elements, where a number of factors has to be reconsidered and determined by an expert panel. These factors are usually complementary, in some cases conflicting or competing; but essentially the subsystems and subsystem elements influence each other and determine the overall operation of the system. In this Chapter, it will be shown how the workshop technique may result in a much more refined model, which may be the start of a model without contradictions and fully adequately simulating the real life system. The aim of the workshop designed and realised in the case study, described in the Chapter as a suitable method was to analyse the starting model and to construct an efficient new model of RWMSs, with more factors. The workshop method was applied in group sessions and plenary discussions. Expert teams were encouraged to develop a common, unified model of the system under investigation. This approach could hopefully help resolve the conflicts and disagreements in the previous model, and also, among certain experts’ opinions. In the case study, as a result, a more refined model was developed indeed, however, then the problem emerged, how to build up, how to deal with, and how to evaluate this rather complex model.

Open Access: Yes

DOI: 10.1007/978-3-031-37959-8_4

The Realization of a Circular Economy in the Construction Industry and Its Adaptation to EU Standards in Hungary

A. Buruzs K. Kozma

Publication Name: Chemical Engineering Transactions

Publication Date: 2023-01-01

Volume: 107

Issue: Unknown

Page Range: 535-540

Description:

Transforming the linear economy into a circular one in the construction sector is not an easy task. Such a radical change entails a major transformation of the current production and consumption patterns, which in turn will have a significant impact on the economy, the environment, and society. The European Commission sees great potential in the recycling and reuse of construction and demolition waste (CDW) and has also emphasised the importance of this waste stream in its directives on the circular economy. This paper first presents the concept of CDW and its regulatory characteristics. It then introduces the types and sources of CDW. Third, based on an analysis of the literature, the paper identifies the possible links between the CDW and the circular economy and current trends and practices of recovery, reuse, and recovery. Finally, through the examples presented, it gives an overview of the current situation and trends in Hungary and makes recommendations for future development opportunities for the practitioners to help them adapt to recent changes. The options for doing this are important, but the problems that may hinder this process also need to be examined. In this article, the author seeks to find answers to this question.

Open Access: Yes

DOI: 10.3303/CET23107090

Application of Fuzzy Theory to Investigate the Effect of Innovation Power in the Emergence of an Advanced Reusable Packaging System

Ádám Bukovics P. Földesi A. Buruzs Péter Böröcz L. T. Koczy

Publication Name: Fuzzy Systems Modeling in Environmental and Health Risk Assessment

Publication Date: 2023-01-01

Volume: Unknown

Issue: Unknown

Page Range: 299-307

Description:

In this chapter, the authors present a novel technique to analyze the role of subjective factors such as innovations in the economy that influence the design of reusable packaging systems in a given industrial region. The focus of this chapter is on the power of innovation, which is not a directly measurable unit. Nowadays, with modern supply chains, companies and packaging engineers have to determine what constitutes adequate packaging with optimal waste. These decisions are usually based on known data and information, but the goal now is to create packaging that has a more favorable environmental impact than before. It seems obvious that more advanced regions will create more advanced packaging systems, but either way having an innovative milieu is a necessary prerequisite of this. This chapter shows that a willingness to innovate is an indispensable requirement of the design of advanced packaging and that most of the time this depends on the synergic effect of local production factors and regional peculiarities.

Open Access: Yes

DOI: 10.1002/9781119569503.ch16

Fuzzy Decision Support Methodology for Sustainable Packaging System Design

A. Buruzs Dániel Pup Kata Vöröskoi L. T. Koczy

Publication Name: Studies in Computational Intelligence

Publication Date: 2022-01-01

Volume: 955

Issue: Unknown

Page Range: 163-173

Description:

The aim of the present paper is to develop an integrated method that provides assistance to decision makers during packaging system planning, design, operation and evaluation from an environmental perspective. The role of the packaging system is to provide a cover for the handling and communication functions surrounding the product. Single-use and reusable packaging are known based on the time it participates in the goods trade. The purpose of the authors is to develop an evaluation model for the selection of packaging systems from an environmental and sustainability point of view in the supply chain.

Open Access: Yes

DOI: 10.1007/978-3-030-88817-6_19

Hierarchical fuzzy decision support methodology for packaging system design

P. Földesi A. Buruzs Kata Vöröskoi Gergő Fogarasi L. T. Koczy

Publication Name: Advances in Intelligent Systems and Computing

Publication Date: 2020-01-01

Volume: 945

Issue: Unknown

Page Range: 85-96

Description:

In the field of logistics packaging (industrial-, or even customer packaging), companies have to take decisions on determining the optimal packaging solutions and expenses. The decisions often involve a choice between one-way (disposable) and reusable (returnable) packaging solutions. Even nowadays, in most cases the decisions are made based on traditions and mainly consider the material and investment costs. Although cost is an important factor, it might not be sufficient for finding the optimal solution. Traditional (two-valued) logic is not suitable for modelling this problem, so here the application of a fuzzy approach, because of the metrical aspects, a fuzzy signature approach is considered. In this paper a fuzzy signature modelling the packaging decision is suggested, based on logistics expert opinions, in order to support the decision making process of choosing the right packaging system. Two real life examples are also given, one in the field of customer packaging and one in industrial packaging.

Open Access: Yes

DOI: 10.1007/978-3-030-18058-4_7

Three level fuzzy signature based decision methodology for packaging system design

P. Földesi A. Buruzs Kata Vöröskoi Gergő Fogarasi L. T. Koczy

Publication Name: Journal of Automation Mobile Robotics and Intelligent Systems

Publication Date: 2020-01-01

Volume: 14

Issue: 2

Page Range: 99-105

Description:

In the field of logistics packaging, companies have to take decisions on determining the optimal packaging solutions and expenses. The decisions often involve a choice between one-way (disposable) and reusable (returnable) packaging solutions. Even nowadays, in most cases the decisions are made based on traditions and mainly consider the material and investment costs. Although cost is an important factor, it might not be sufficient for finding the optimal solution. Traditional (two-valued) logic is not suitable for modelling this problem, so here the application of a fuzzy approach, because of the metrical aspects, a fuzzy signature approach is considered. In this paper three different fuzzy signatures connected by fuzzy rules modelling the packaging decision are suggested, based on logistics expert opinions, in order to support the decision making process of choosing the right packaging system. Two real life examples are also given, one in the field of customer packaging and one in industrial packaging.

Open Access: Yes

DOI: 10.14313/JAMRIS/2-2020/25

Reduced model investigations supported by fuzzy cognitive map to foster circular economy

F. Hatwágner A. Buruzs L. T. Koczy

Publication Name: Studies in Computational Intelligence

Publication Date: 2019-01-01

Volume: 796

Issue: Unknown

Page Range: 191-202

Description:

The aim of the present paper is to develop an integrated method that provide assistance to decision makers during system planning, design, operation and evaluation. In order to support the realization of Circular Economy (CE) it is essential to evaluate local needs and conditions that help to select the most appropriate system-components and resources needed. Each of these activities requires careful planning, however, the model of CE offers a comprehensive interdisciplinary framework. The aim of this research was to develop and to introduce a practical methodology for evaluation of local and regional opportunities to promote CE.

Open Access: Yes

DOI: 10.1007/978-3-030-00485-9_22

A concept reduction approach for fuzzy cognitive map models in decision making and management

F. Hatwágner A. Buruzs Elpiniki I. Papageorgiou L. T. Koczy

Publication Name: Neurocomputing

Publication Date: 2017-04-05

Volume: 232

Issue: Unknown

Page Range: 16-33

Description:

Policy making, strategic planning and management in general are complex decision making tasks, where the formulation of a quantitative mathematical model may be difficult or impossible due to lack of numerical data and dependence on imprecise verbal expressions. For such systems, knowledge representation graphs and cognitive maps are most familiar and often used for modelling complexity and aiding decision making. Fuzzy Cognitive Maps (FCM), as graph-based cognitive models, have been successfully used for knowledge representation and reasoning. In modelling complex systems usually a large number of concepts need to be considered. However, it is often difficult in real applications to find the appropriate number of concepts. Using only a few concepts is not enough to represent the modelled system with the required precision, and increasing the number of concepts increases the complexity of the model quadratically; it is burdensome to work with for the experts. The contribution of this paper is two-fold: (i) to propose a new concept reduction approach for FCM and (ii) to apply it on developing less complex FCM for management and decision making. The behaviour of reduced models is analysed through a number of scenarios with respect to the original complex system. The main idea of the reduction is a clustering based on fuzzy tolerance relations. The new approach is focused on reducing complexity in the modelling process, which provides a more transparent and easy to use model for policy makers. The applicability of the proposed method is demonstrated via literature examples and a solid waste management case study that initiated this research. The results clearly show the advantageous characteristics of the proposed concept reduction method for FCM and its aid in policy making.

Open Access: Yes

DOI: 10.1016/j.neucom.2016.11.060

Evaluation of waste management systems using fuzzy cognitive maps and optimization

F. Hatwágner P. Földesi A. Buruzs L. T. Koczy

Publication Name: 2015 10th Asian Control Conference Emerging Control Techniques for A Sustainable World Ascc 2015

Publication Date: 2015-09-08

Volume: Unknown

Issue: Unknown

Page Range: Unknown

Description:

Integrated Waste Management Systems (IWMS) are very complex systems with a lot of uncertainty. These can be defined as the selection and application of suitable techniques, technologies and management programs to achieve waste management objectives and goals. In order to support the decision making process in waste management we propose the use of Fuzzy Cognitive Map (FCM) and Bacterial Evolutionary Algorithm (BEA) methods since the combination of the FCM and BEA seem to be suitable to model complex mechanisms such as IWMS. While the FCM is formed for a chosen system by determining the concepts and their relationships, it is possible to quantitatively simulate the system considering its parameters. However, if the time series of the factors of the system are known, then the connection matrix of FCM, thus the causal relations among the parameters can be determined by optimization. This way a more objective description of IWMS can be given.

Open Access: Yes

DOI: 10.1109/ASCC.2015.7244894

A new state reduction approach for fuzzy cognitive map with case studies for waste management systems

F. Hatwágner P. Földesi A. Buruzs L. T. Koczy

Publication Name: Advances in Intelligent Systems and Computing

Publication Date: 2015-01-01

Volume: 331

Issue: Unknown

Page Range: 119-127

Description:

The authors have investigated the sustainability of Integrated Waste Management Systems (IWMS). These systems were modeled by Fuzzy Cognitive Maps (FCM), which are known as adequate fuzzy-neural network type models for multi-component systems with a stable state. The FCM model was designed of thirty-three factors to describe the real world processes of IWMS in as much detailed and as much accurately as possible. Although, this detailed model meets the requirements of accuracy, the presentation and explanation of such a complex model is difficult due to its size.While there is a general consensus in the literature about a very much simplified model of IWMSs, detailed investigation lead to the assumption that a much more complex model with considerably more factors (components) would more adequately simulate the rather complex real life behavior of the IWMS.As the starting point we used the thirty-three component model based on the consensus of a workshop of experts coming from all areas of the IWMS (operation, regulation, management, etc.) and the set goal was to find the most accurate real model that could be obtained by analyzing and properly reducing this – very likely too much detailed, or atomized – model.In this paper, a new state reduction approach with three different metrics is presented. The practical aspects of the results gained by these methods are evaluated.

Open Access: Yes

DOI: 10.1007/978-3-319-13153-5_12

Expert-Based Method of Integrated Waste Management Systems for Developing Fuzzy Cognitive Map

F. Hatwágner A. Buruzs L. T. Koczy

Publication Name: Studies in Fuzziness and Soft Computing

Publication Date: 2015-01-01

Volume: 319

Issue: Unknown

Page Range: 111-137

Description:

Movement towards more sustainable waste management practice has been identified 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 defined 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 ‘key drivers’ are defined 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 systems, 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 quantitatively simulate the system considering its parameters. The goal of optimization was to find such a connection matrix for FCM that makes possible to generate the most similar time series. This way a more objective description of IWMS can be given. While the FCM model represents the IWMS as a whole, BEA is used for parameter optimization and identification. Based on the results, in the near future we intend to apply the systems of systems (SoS) approach to regional IWMS.

Open Access: Yes

DOI: 10.1007/978-3-319-12883-2_4

Using Fuzzy Cognitive Maps approach to identify integrated waste management system characteristics

F. Hatwágner A. Buruzs L. T. Koczy

Publication Name: 5th IEEE International Conference on Cognitive Infocommunications Coginfocom 2014 Proceedings

Publication Date: 2014-01-23

Volume: Unknown

Issue: Unknown

Page Range: 141-147

Description:

This paper outline how Fuzzy Cognitive Maps (FCM) can be applied as a tool in integrated waste management systems. FCM is a soft systems methodology for exploiting and analyzing human perceptions of a given system. During the research, the driving forces and impacts in the changes of waste management systems have been analyzed. Several types of FCM are known, and the authors' intention was to apply the FCM type III to describe the causality relations among the factors of the integrated waste management systems (IWMS).

Open Access: Yes

DOI: 10.1109/CogInfoCom.2014.7020435

Using Fuzzy Cognitive Map approach to model the casual relationships in stakeholder management at companies

F. Hatwágner D. Susniene A. Buruzs A. Torma L. T. Koczy

Publication Name: 5th IEEE International Conference on Cognitive Infocommunications Coginfocom 2014 Proceedings

Publication Date: 2014-01-23

Volume: Unknown

Issue: Unknown

Page Range: 121-124

Description:

The aim of this paper is to investigate the operation of a Stakeholder Relationship Management System (SRMS) as a method for business management and project support by fuzzy approach. The criteria defined in connection with the SRMS will be modelled by using the Fuzzy Cognitive Map (FCM) approach in order to define the causality and weights of interconnections between the factors and to support decision making in that way.

Open Access: Yes

DOI: 10.1109/CogInfoCom.2014.7020431

Fuzzy cognitivemaps and bacterial evolutionary algorithm approach to integratedwaste management systems

F. Hatwágner A. Buruzs L. T. Koczy

Publication Name: Journal of Advanced Computational Intelligence and Intelligent Informatics

Publication Date: 2014-01-01

Volume: 18

Issue: 4

Page Range: 538-548

Description:

Sustainable wastemanagement systems necessarily include many interacting factors. Due to the complexity and uncertainties occurring in sustainable waste management systems, we propose the use of Fuzzy Cognitive Maps (FCM) and Bacterial Evolutionary Algorithm (BEA) [1] to support the planning and decision making process of integrated systems, as the combination of methods FCM and BEA seems to be suitable to model such complex mechanisms as Integrated Waste Management Systems (IWMS). This paper is an attempt to assess the sustainability of the IWMS in a holistic approach. While the FCM model represents the IWMS as a whole, the BEA is used for parameter optimization and identification. An interpretation of the results obtained by the FCMfor the actual regional IWMS is also presented. We have obtained some surprising results, contradicting the general assumptions in the literature concerning the relative importance of constituting components in waste management systems.

Open Access: Yes

DOI: 10.20965/jaciii.2014.p0538

Strategic decision support in waste management systems by state reduction in FCM models

F. Hatwágner P. Földesi A. Buruzs L. T. Koczy

Publication Name: Lecture Notes in Computer Science Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics

Publication Date: 2014-01-01

Volume: 8836

Issue: Unknown

Page Range: 447-457

Description:

In this paper, we introduce a new design for modeling sustainable waste management systems. By its complexity, this model is much more precise in describing the real systems than those found in the relevant literature. We set up a model with six factors and then decomposed the constituting factors up to around thirty subcomponents, thereby established an extremely complex and completely novel model of the Integrated Waste Management System (IWMS) using the system-of-system (SoS) approach with the help of experts. After the investigation of the basic and detailed model and their connection matrices, the following idea arises. The two models differ conceptually and so greatly that less than thirty-three factors should be enough to approximately describe the mechanism of action of the real IWMS. In the following, a new state reduction method is proposed. It can be considered as a generalization of the state reduction procedure of sequential systems and finite state machines. The essence of the proposal is to create clusters of factors and to build a new model using these clusters as factors. This way the number of factors can be decreased to make the model easier to understand and use. Our main goal with this method is to support the strategic decision making process of the stakeholder in order to ensure the long-term sustainability of IWMS.

Open Access: Yes

DOI: 10.1007/978-3-319-12643-2_55

Modeling integrated sustainable waste management systems using fuzzy cognitive maps and systems of systems concepts

F. Hatwágner A. Buruzs L. T. Koczy

Publication Name: Civil Comp Proceedings

Publication Date: 2014-01-01

Volume: 105

Issue: Unknown

Page Range: Unknown

Description:

Movement towards more sustainable waste management practice has been identified as a priority in the whole of the EU. The EU Waste Management Strategy's requirements emphasizes waste prevention; recycling and reuse; and improving final disposal and monitoring. Integrated waste management systems can be defined as the selection and application of suitable and available techniques, technologies and management programs to achieve waste management objectives and goals. As a result of the complexity and uncertainty occurring in sustainable waste management systems, the fuzzy cognitive map method is used with the combination of the bacterial evolutionary algorithm to support the planning and decision making process of integrated systems. Since the fuzzy cognitive map method is formed for a selected system by determining the concepts and their relationships, it is possible to quantitatively simulate the system considering its parameters. Several techniques were used in order to produce the input data of the simulation process. The goal of this paper is to present the process of data production.

Open Access: Yes

DOI: DOI not available

Advanced learning of fuzzy cognitive maps of waste management by bacterial algorithm

F. Hatwágner R. C. Pozna A. Buruzs L. T. Koczy

Publication Name: Proceedings of the 2013 Joint Ifsa World Congress and NAFIPS Annual Meeting Ifsa NAFIPS 2013

Publication Date: 2013-10-31

Volume: Unknown

Issue: Unknown

Page Range: 890-895

Description:

Fuzzy cognitive maps (FCMs) are a very convenient and simple tool for modeling complex systems. They are popular due to their simplicity and user friendliness. However, according to [1], human experts are subjective and can handle only relatively simple networks therefore there is an urgent need to develop methods for automated generation of FCM models. The present research deals with the methodology of FCMs in combination with the Bacterial Evolutionary Algorithm (BEA). The method of FCMs using BEA seems to be suitable to model such complex mechanisms as integrated municipal waste management (IMWM) systems. This paper is an attempt to assess the sustainability of the IMWM system by investigating the FCM methodology based on the BEA with a holistic approach. As a result, the best scenario to an IMWM system can be assigned. © 2013 IEEE.

Open Access: Yes

DOI: 10.1109/IFSA-NAFIPS.2013.6608518

Developing fuzzy cognitive maps for modeling regional waste management systems

R. C. Pozna A. Buruzs L. T. Koczy

Publication Name: Civil Comp Proceedings

Publication Date: 2013-01-01

Volume: 103

Issue: Unknown

Page Range: Unknown

Description:

Sustainable waste management systems necessarily include environmental, economic, social, institutional, legal and technical aspects. As a result of the incompleteness and multiple uncertainties occurring in sustainable waste management systems, we propose the use of fuzzy cognitive maps (FCM) to support the planning and decision making process. It is obvious that uncertainties involved with waste management represent vagueness rather than probability. Fuzzy sets and fuzzy logic are suitable to construct a formal description and a mathematically manageable model of systems and processes with such uncertainties. In the research described in this paper the FCM model of the Gyor RWMS is established and implemented in such a structure that its parameters and weights were flexibly variable. By observation of the model and its time dependent behaviour we determined under what conditions the long-term sustainability of a regional waste management system could be ensured. In this paper, the interpretation of the results obtained by the FCM model for the actual waste management system are presented. ©Civil-Comp Press, 2013.

Open Access: Yes

DOI: DOI not available

Developing fuzzy cognitive maps for modeling regional waste management systems

R. C. Pozna A. Buruzs L. T. Koczy

Publication Name: Civil Comp Proceedings

Publication Date: 2009-01-01

Volume: 92

Issue: Unknown

Page Range: Unknown

Description:

Sustainable waste management systems necessarily include environmental, economic, social, institutional, legal and technical aspects. As a result of the incompleteness and multiple uncertainties occurring in sustainable waste management systems, we propose the use of fuzzy cognitive maps (FCM) to support the planning and decision making process. It is obvious that uncertainties involved with waste management represent vagueness rather than probability. Fuzzy sets and fuzzy logic are suitable to construct a formal description and a mathematically manageable model of systems and processes with such uncertainties. In the research described in this paper the FCM model of the Gyor RWMS is established and implemented in such a structure that its parameters and weights were flexibly variable. By observation of the model and its time dependent behaviour we determined under what conditions the long-term sustainability of a regional waste management system could be ensured. In this paper, the interpretation of the results obtained by the FCM model for the actual waste management system are presented. © Civil-Comp Press, 2013.

Open Access: Yes

DOI: DOI not available