Ádám Bukovics

18633738100

Publications - 19

Complex Building’s Decision Support Method Based on Fuzzy Signatures †

Publication Name: Buildings

Publication Date: 2024-06-01

Volume: 14

Issue: 6

Page Range: Unknown

Description:

In the inner areas of large cities, many residential buildings built at the turn of the 19th and 20th centuries remain standing. The maintenance and renovation of these buildings have emerged as critical priorities over recent decades. E.g., in Budapest during the socialist era, the majority of these buildings were not renovated, and maintenance was largely neglected. In the subsequent 10–15 years following the end of socialism, financial resources for renovations were scarce due to the extensive transfer of properties from state to private ownership. It is only in the last decade or so that renovations have begun to be systematically addressed. Consequently, a significant portion of the building stock is still pending renovation. Given the current economic conditions, sustainable maintenance and necessary conversion are of paramount importance. Unfortunately, few standardized condition assessment methods are implemented in industrial practice, and the literature on this topic is limited. To address these challenges, we have developed an algorithm and model for condition assessment and decision support, which we refer to as the Complex Building’s Decision Support System based on Fuzzy Signatures (CBDF system). Our model employs a fuzzy signature-based approach to account for uncertainties, errors, and potentially missing data that may arise during the assessment process. The primary aim of this model is to equip professionals involved in building condition assessment with a tool that enables them to make consistent and objective decisions while minimizing errors. This paper provides a brief overview of the CBDF system and presents test results from the assessment of a selected structural component of a building, demonstrating the system’s functionality.

Open Access: Yes

DOI: 10.3390/buildings14061630

GENERAL PURPOSE CONDITION ASSESSMENT METHOD THAT CAN BE AUTOMATICALLY OPTIMISED FOR SPECIFIC OBJECTIVES

Publication Name: Iet Conference Proceedings

Publication Date: 2024-01-01

Volume: 2024

Issue: 8

Page Range: 30-35

Description:

The maintenance and renovation of old (over 100 years old) residential buildings is one of the priority tasks in the last decades, because - especially in the inner areas of big cities - there are still a lot of them today, and therefore it has a decisive effect on the quality of life of many people. Since the structural design, materials, and condition of these types of residential buildings show many similarities, it is advisable to develop a uniform method for their condition assessment. A condition assessment and decision support model that is suitable for objective and uniform evaluation of this large number of old residential buildings and enables their energy-efficient maintenance and renovation as needed is being developed. The decision model consists of 4 main components (“Project info”, “Knowledge base”, “Preparatory work process”, “Fuzzy system”). For this method, a fuzzy signature-based decision model was developed, that can be used for the condition assessment of old residential buildings and for multi purpose intervention decision support. In this article, the main components are briefly overviewed and the automatic relationships between the individual elements of the project info and how it’s values affect the structure of the fuzzy signature is examined in details. Since the optimal structure of the fuzzy signature helps to make the right decision and the ideal use of the available resources, it is of great importance in terms of energy efficiency and sustainability. The other aim of automation is to make condition assessment even faster and more reliable.

Open Access: Yes

DOI: 10.1049/icp.2024.2677

Complex Framework for Condition Assessment of Residential Buildings

Publication Name: Lecture Notes in Civil Engineering

Publication Date: 2024-01-01

Volume: 444

Issue: Unknown

Page Range: 97-108

Description:

In the big cities of Europe large-scale construction of apartment buildings took place at the end of the 19th and at the beginning of the 20th century. In the process, buildings were created based on unique plans, but very similar to each other, containing similar technological solutions and built from similar building materials. Over the past 100 years, some of the buildings have been continuously maintained, while the condition of other buildings has deteriorated significantly. The renovation of these buildings has now become necessary and in many cases, unavoidable. In the current economic and energy situation, it is important that maintenance or conversion is carried out in a sustainable manner to the necessary extent. The method and extent of the interventions can be provided in a uniform manner with help of a computer system. We have developed a condition assessment and decision support model and algorithm that can be used for this purpose. We call it Complex Building’s Decision Support System based on Fuzzy Signatures (CBDF system). We use fuzzy signature-based model to handle uncertainties, inaccuracies and possibly missing data that occur during the condition assessment. The presented decision model prepares the status assessment based on 4 main components (project info, knowledge base, preparatory work process, fuzzy system). After defining the objectives (e.g., general condition assessment, evaluation from the perspective of accident prevention, examination of the possibility of roof installation), the system requests the necessary data and generates the fuzzy signature required for the condition assessment of the given building. Based on the input data for the specific project and the knowledge base, the decision model searches for failures and anomalies in the building based on the preparatory work process, manages the existing uncertainties and inaccuracies, and determines the load bearing surplus of the examined load bearing structures. Using the existing information and conclusions, based on various fuzzy set-based descriptors and aggregation operators, the condition assessment is prepared, and then, if necessary, the intervention proposal as well. The final goal of the decision model is to put a tool in the hands of experts examining the condition of buildings, which can be used to prepare uniform and objective assessments (also suitable for ranking) and to reduce error in condition assessment.

Open Access: Yes

DOI: 10.1007/978-3-031-48461-2_9

Building Diagnostics Options for Existing Buildings – Innovative Methods

Publication Name: Chemical Engineering Transactions

Publication Date: 2024-01-01

Volume: 114

Issue: Unknown

Page Range: 793-798

Description:

The increasing number of buildings, due to erosion and extraordinary effects, has increasingly made technological advancements focused on innovative methods possible. This has become more prominent alongside traditional practices such as visual inspection and destructive building diagnostic methods. Thanks to the continuous development of tools, technologies and methodologies, the accurate and detailed digital mapping of buildings (including all their aspects) is available. Among these solutions, the laser scanner point cloud is the most popular due to its high level of detail. The newly emerging and now widespread survey procedures based on laser, photogrammetric remote sensing reflect a real-time, current state of the buildings, which maximizes the accuracy of the Building Information Model (BIM) - Historic Building Information Model (HBIM) completed in the later phases and helps detect structural or surface defects. This study presents the analyzing techniques of point clouds to diagnose buildings, assess their condition, identify errors, and develop sustainability strategies. It also explores areas that require further research and development to enhance the effectiveness of these methods. In the first phase of the paper, the currently used point cloud generation technologies (e.g.: laser scanning, photogrammetry, light detection and ranging (LiDAR)) will be presented with their advantages and disadvantages. The research methodology was conducted using the VOSviewer software to visually analyze bibliometric networks from a dataset of scientific publications, focusing on trends in structural health monitoring and highlighting key areas such as damage detection, computer vision, and AI-based techniques. In the second phase of the study, the possibilities of the analysis of point clouds and image processing-based survey options for structural diagnostic purposes will be explained and presented. The evaluation of the three damage detection methodologies (Geometrical features, Color and intensity information, Combined Method) highlights their complexity, technological requirements, cost, practical applicability, and accuracy. During the analysis, the goal is to map and systematize innovative methods supported by digital tools for diagnostic tasks in existing buildings.

Open Access: Yes

DOI: 10.3303/CET24114133

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

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 Inference System-like Aggregation Operator for Fuzzy Signatures

Publication Name: Studies in Computational Intelligence

Publication Date: 2023-01-01

Volume: 1040

Issue: Unknown

Page Range: 93-101

Description:

This paper deals with a novel fuzzy aggregation operator. This aggregation operator is suggested to such fuzzy signatures, where the correlation between the leafs or branches can not be handled by classical operators as weighted relevance aggregation operator or weighted generalized mean, more with fuzzy rules. This paper presents the suggested Fuzzy inference system-like aggregation operator (FISAO), shows its axiomatic conformity and depicts its use through an experimental example.

Open Access: Yes

DOI: 10.1007/978-3-031-07707-4_12

CONDITION ASSESSMENT OF SIDE CORRIDORS WITH THE USE OF AGGREGATIONS BASED ON FUZZY INFERENCE METHOD

Publication Name: Rehabend

Publication Date: 2022-01-01

Volume: Unknown

Issue: Unknown

Page Range: 864-872

Description:

Professional maintenance of the residential building stock and completion of the necessary renovation works on time will increase the life of the residential buildings and improve their condition. For this reason, it is important to create and apply condition assessment and decision support systems that uniformly and accurately determine the condition of individual building structures and buildings. Thus, the necessary interventions -taking into account the available financial resources-can be performed at the right time and in the right way. The ultimate goal of our research is to develop a decision support system that evaluates the damage of individual structural members and determines the condition of each load bearing structure, ultimately evaluating the entire building. It then suggests (if necessary) which of the available renovation methods to choose. In addition to the damage of the load bearing structures, the decision among the proposed methods of reinforcement is also influenced by architectural requirements and economic aspects. In the present phase of the research we have developed a method that determines the condition of side corridor structures based on the observed damage detected by visual building diagnostics (e.g. steel cantilever corrosion, stone plate cracks, stone plate abrasion). The side corridors are divided into three well-separable structural elements (cantilever, plate, balustrade) and their damage is analyzed separately. Qualification is made by a fuzzy signature based decision making system. In this, aggregations are based on classical fuzzy inference methods. The rule bases of the aggregation were constructed during this research. The final condition of the side corridor structure is affected by the combined condition of the three structural elements.

Open Access: Yes

DOI: DOI not available

Extended fuzzy signature based model for qualification of residential buildings

Publication Name: Studies in Computational Intelligence

Publication Date: 2020-01-01

Volume: 819

Issue: Unknown

Page Range: 91-97

Description:

Residential buildings can be qualified and ranked based on many viewpoints. For the intervening decision-supporting survey of old residential buildings in the course of our former researches we have created a fuzzy signature based model which defines status evaluation and ranking of buildings on the basis of the condition of load-bearing structures and other building structures. We have extended and changed this model in a way so that it should take into account other viewpoints, too, which, in addition to the load bearing viewpoints strongly influence the manner of intervening. Since in addition to the importance of the given structure the relevance of the building structures of residential buildings are determined also by their quantities and other features, in our case it was necessary to determine relative and absolute relevance weights. We use a structure of fuzzy signature with variable aggregations, where the definition of aggregations is made by parameters, and the value of parameters are changing depending on the specific application, which follow the changes of relevance of given subtrees. The developed method is examined on the basis of a database for which we were used status evaluating expert reports relating to real stock of residential buildings.

Open Access: Yes

DOI: 10.1007/978-3-030-16024-1_12

Fuzzy signature based methods for modelling the structural condition of residential buildings

Publication Name: Studies in Fuzziness and Soft Computing

Publication Date: 2018-01-01

Volume: 357

Issue: Unknown

Page Range: 237-273

Description:

Conservation, extension or renovation of residential buildings is a task that requires intensive attention, where it must be ensured that design and construction works are carried out in proper quality. Priority is given to the proper use of the available financial resources. Incorrect assessment of renovation or reconstruction needs might cause considerable financial loss without implementing necessary interventions (which could eliminate eventual deteriorations, or hinder their reoccurrence).

Open Access: Yes

DOI: 10.1007/978-3-319-60207-3_16

Modelling twofold uncertainty in the condition assessment of residential buildings using interval valued fuzzy signatures

Publication Name: 2016 IEEE Symposium Series on Computational Intelligence Ssci 2016

Publication Date: 2017-02-09

Volume: Unknown

Issue: Unknown

Page Range: Unknown

Description:

In this study we will describe an intervention decision-support method related to residential buildings, which is modelling the condition of buildings based on linguistic expert opinions so that it is capable of taking into consideration the uncertainties included in the expert opinions. Fuzzy signature-based model is used, wherein the uncertainties are integrated into the system by applying interval valued fuzzy sets, as well as linguistic hedges. The result will be a fuzzy set for each building, describing the condition of the whole building, specify the bourdary values between which the condition of the building may fall.

Open Access: Yes

DOI: 10.1109/SSCI.2016.7849994

Minkowski's inequality based sensitivity analysis of fuzzy signatures

Publication Name: Journal of Artificial Intelligence and Soft Computing Research

Publication Date: 2016-01-01

Volume: 6

Issue: 4

Page Range: 219-229

Description:

Fuzzy signatures were introduced as special tools to describe and handle complex systems without their detailed mathematical models. The input parameters of these systems naturally have uncertainties, due to human activities or lack of precise data. These uncertainties influence the final conclusion or decision about the system. In this paper we discuss the sensitivity of the weigthed general mean aggregation operator to the uncertainty of the input values, then we analyse the sensitivity of fuzzy signatures equipped with these aggregation operators. Finally, we apply our results to a fuzzy signature used in civil enginnering.

Open Access: Yes

DOI: 10.1515/jaiscr-2016-0016

Three level modelling of uncertainties in the condition assessment of buildings

Publication Name: Isciia 2016 7th International Symposium on Computational Intelligence and Industrial Applications

Publication Date: 2016-01-01

Volume: Unknown

Issue: Unknown

Page Range: Unknown

Description:

Condition survey evaluation analyses (enginering-static expert reports) are often prepared about building structures (often focusing on load-bearing structures) in order to support appropriate maintenance and repair of the existing buildings. Based on these analyses modelling of the condition of buildings and building structures can be a big help to adopt decisions on intervention. In the course of our former research condition evaluation, decision support and ranking method was worked out which, based on a unified system of viewpoints, considering various priorities, is able to determine the condition of residential buildings. We have used tree-structure, fuzzy singleton signature based model, in which the expert specifies one discrete value for the condition of every examined building structure. In the course of our research it was experienced that the elaborated method is too subjective and uncertain, therefore the method is being further developed so that modelling of objective and subjective uncertainties become possible in the course of preparing expert opinions. Three levels were created to model uncertainties. Uncertainty on level 1 is how to transform verbal evaluations into fuzzy membership functions (verbal values cannot be unambiguously transformed into numerical values). In this model instead of membership values, which were used in the former model, we assign linguistic label modelling membership functions to the leaves of the structure. Level 2 we are modelling an uncertainty where even the expert is unable to precisely determine the condition of the examined structure. Often an interval is specified for the condition of the structure instead of a specific status value. It means that the condition of structure can have any value between two specified values with the same probability. To model it the triangular-shaped membership function is transformed into a trapezoidal-shaped membership function with the help of linguistic hedges. On level 3 it is modelled that the expert evaluation itself is not considered totally reliable. Subjectivity, professional preparedness of the expert, conducting the examination, or the quality of available circumstances and data may significantly influence the reliability of the final result. These uncertainties can be modelled by modifying the shapes of the membership function. The fuzzy set signature based model created by modelling the uncertainties at three levels is able to model with proper accuracy (more sophistically as compared to the former model) the condition of buildings, which were specified by verbal evaluation in expert opinion.

Open Access: Yes

DOI: DOI not available

Sensitivity analysis of the weighted generalized mean aggregation operator and its application to fuzzy signatures

Publication Name: IEEE International Conference on Fuzzy Systems

Publication Date: 2014-09-04

Volume: Unknown

Issue: Unknown

Page Range: 1327-1332

Description:

In this paper we give bounds on the changing of the weighted generalized mean in terms of vector norms of the changing of the variables. Applying this result we characterize the sensitivity of fuzzy signatures which equipped with weighted generalized mean operators in their nodes. Finally, a practical example from civil engineering is also examined.

Open Access: Yes

DOI: 10.1109/FUZZ-IEEE.2014.6891814

Modeling the condition of buildings by real fuzzy sets

Publication Name: International Journal for Housing Science and Its Applications

Publication Date: 2014-02-13

Volume: 38

Issue: 1

Page Range: 1-12

Description:

It is an important task to qualify and rank residential buildings based on various priority aspects and to make optimum allocation of the material resources available for the renewal of the buildings. To this end a model based on fuzzy logic was prepared. To construct and to test this model many detailed technical-static expert reports were available all related to a stock of residential buildings in Budapest. Based on this report a database was created. With the help of this database a model was prepared, calculating a so-called status characteristic value between 0 and 1 on the basis of the structures and status of the buildings. For this calculation a fuzzy singleton signature model was prepared. Based on this a hierarchy can be set up related to the stock of buildings, which is suitable for supporting the decision-making on intervention. The model was examined by using the created database. Membership values characterising the status of the load-bearing structures - were defined on the basis of the deterioration of the structures. In this paper a new method for the determination of the membership values is described, which in addition to the deteriorations of the structures takes into account other parameters of the structures, and the impact exerted on the quality of the structure, too. The method is suitable for the determination of the membership values of all primary and secondary structures. As an example the membership values of the foundation structures of the buildings in the database were defined and the results were analysed. The method was elaborated by the use of 'real fuzzy values' (R-fuzzy sets), an extension of the concept of classic fuzzy sets, the former being suitable for simultaneously taking into account various aspects text. Copyright©2014 IAHS.

Open Access: Yes

DOI: DOI not available

Evaluating condition of buildings by applying fuzzy signatures and R-fuzzy operations

Publication Name: Studies in Computational Intelligence

Publication Date: 2014-02-03

Volume: 530

Issue: Unknown

Page Range: 45-57

Description:

It is an significant task to qualify and rank residential buildings based on various priority aspects and to make optimum allocation of the material resources available for the renewal of the buildings.To this end a model based on fuzzy logic was prepared. To construct and to test this model many detailed technical-static expert reports were available all related to a stock of residential buildings in Budapest. Based on this report a database was created. With the help of this database a model was prepared, calculating a so-called status characteristic value between 0 and 1 on the basis of the structures and status of the buildings. For this calculation a fuzzy singleton signature model was prepared. Based on this a hierarchy can be set up related to the stock of buildings, which is suitable for supporting the decision making on intervention. The model was examined by using the created database. Membership values characterising the status of the load-bearing structures-were defined on the basis of the deterioration of the structures. In this chapter a new method for the determination of the membership values is described, which in addition to the deteriorations of the structures takes into account other parameters of the structures, and the impact exerted on the quality of the structure, too. The method is suitable for the determination of the membership values of all primary and secondary structures. As an example the membership values of the foundation structures of the buildings in the database were defined and the results were analysed. The method was elaborated by the use of "real fuzzy values" (R-fuzzy sets), an extension of the concept of classic fuzzy sets, the former being suitable for simultaneously taking into account various aspects. © Springer International Publishing Switzerland 2014.

Open Access: Yes

DOI: 10.1007/978-3-319-03206-1_4

Sensitivity and validity of the fuzzy signature based evaluation of residential building conditions

Publication Name: Civil Comp Proceedings

Publication Date: 2014-01-01

Volume: 105

Issue: Unknown

Page Range: Unknown

Description:

The characteristics and the status of the existing stock of residential buildings are extremely important for the national economy of all countries including Hungary. Formerly some methods and approaches to formally tackle and evaluate individual buildings based on available records and expert reports were formulated. These methods are suitable for the evaluation and ranking of residential buildings and make it easier to complete the status assessment and decision support for further utilization. A mathematical analysis has been conducted to identify the sensitivity of the calculated final results in the case of the applied fuzzy signatures related to the changes of the membership values at the leaves (the end nodes of a graph). This paper briefly presents the methods, then it investigates the validity of these results taking into consideration the possible subjective discrepancy and certainty in the evaluations.

Open Access: Yes

DOI: DOI not available

Fuzzy signature based model for qualification and ranking of residential buildings

Publication Name: International Journal for Housing Science and Its Applications

Publication Date: 2013-12-02

Volume: 37

Issue: 4

Page Range: 217-227

Description:

At the end of the 19th and at the beginning of the 20th centuries Budapest the capital of the Hungarian kingdom underwent a significant development. During this period the number of inhabitants of the city multiplied, as a consequence several new city districts were constructed. The functional and structural arrangement of these new residential buildings was very similar in respect of the materials used and the technologies applied. A considerable part of these buildings still constitutes the determining element of the townscape. It is one of the most burning issues of the present day Budapest that a part of these buildings are in very bad condition. Due to the limited financial resources it is an essential task to set up priority ranking of the renovation, upgrading and renewal of buildings with similar arrangement. In our case the traditional (two-valued) logic is unsuitable for modelling or handling the given phenomenon. When describing the status of a load-bearing building structure the terminology of "appropriate condition" cannot be handled by Boolean logic, since it cannot be strictly determined where the borderline is between appropriate or inappropriate condition. In the case of the majority of the linguistic characteristics of this type there is a well noticeable joint element, which expresses a kind of inaccuracy or uncertainty. For such tasks the application of fuzzy signatures is considered to be one of the possible solutions. The fuzzy type inaccuracy somehow links with human thinking. Fuzzy logic is an extension of the two-valued logic, which makes it possible to define transitions, too. By applying the fuzzy singleton signatures a status-determining and ranking model was created, which is suitable for the qualification and ranking of buildings of similar age and structural arrangement. This model was used for the first time on a database, which is based on expert opinions, relating to a given stock of residential building. The modelling of the load-bearing structural condition of the residential buildings is a complicated task, the components where of are well-structured and a hierarchical structure can be built therefrom. Based on the foregoing a tree-structure, necessary for the examination of the load-bearing structures of buildings, has been proposed. In this framework primary and secondary structures were distinguished during the examination, which would be linked with qualification values based on their arrangement, materials and conditions (in accordance with fuzzy logic). The significance of the load-bearing structure of various building elements was taken into account by using relevance weights. For the aggregation of the fuzzy singleton signature the Weighted Relevance Aggregation Operation (WRAO) was used. The aggregate status descriptors, characteristic of the status of a building, provided the basis for the ranking of buildings in case of a certain stock of buildings. Discrepancies of the results achieved by method using membership functions of approximate and fine set of values, conclusions were drawn as to when and which method should be used in practise. The results of this study may make it easier to realize rehabilitation ideas of similar residential areas, and also can be efficiently used during utilization and renewal of certain buildings in bad condition. Copyright © 2013 IAHS.

Open Access: Yes

DOI: DOI not available

The application of fuzzy connectives and inverse operations on R-fuzzy descriptors of the static conditions of residential buildings

Publication Name: Cinti 2012 13th IEEE International Symposium on Computational Intelligence and Informatics Proceedings

Publication Date: 2012-12-01

Volume: Unknown

Issue: Unknown

Page Range: 433-437

Description:

A considerable part of the current stock of residential buildings in Budapest was built at the end of the 19th and in the beginning of the 20th century (Figure 1). In the course of our research work a great many detailed technical and static expert reports on residential buildings in Budapest built in this time period were available. On the basis of these expert reports a database was created for the purpose of analysis of the structure of the buildings and of building diagnostics (Figure 2), and in order to prepare a fuzzy signautre-based status defining and ranking model. The database was created by processing a reliable set of data, which, in this way is a large representative pattern, the analysis whereof enables us to draw scientific conclusions. So far nobody has processed the expert reports from the scientific point of view, so no synthetised results were available to date. © 2012 IEEE.

Open Access: Yes

DOI: 10.1109/CINTI.2012.6496805

Safety against bearing resistance failure of spread foundation using reliability method

Publication Name: Pollack Periodica

Publication Date: 2007-08-01

Volume: 2

Issue: 2

Page Range: 51-62

Description:

The aim of this research work is the analysis of the dimensioning of EC's of the vertical bearing structures of buildings, within the framework. In the beginning the bearing resistance of spread foundation is analyzed. The aim is to evaluate the method of EC-7 in the light of the safety to be demanded according to the current standard and reliability method. The current work describes the opportunity of determining this latter. © 2007 Akadémiai Kiadó.

Open Access: Yes

DOI: 10.1556/Pollack.2.2007.2.5