G. Molnárka

36005666300

Publications - 7

Evaluating the life quality of the built environment by FRI method

Publication Name: IEEE International Conference on Fuzzy Systems

Publication Date: 2015-11-25

Volume: 2015-November

Issue: Unknown

Page Range: Unknown

Description:

The fuzzy rule interpolation (FRI) and the fuzzy signature methodology was successfully adapted for expressing the building condition. In this paper we extend this concept for estimating the life quality of the built environment, especially of the residential segment. The applied methodology is based on a hierarchical FRI as a straightforward implementation of the fuzzy signature concept. The paper also introduces some application details of a case study related to residential houses located in a historic district of Budapest, Hungary.

Open Access: Yes

DOI: 10.1109/FUZZ-IEEE.2015.7338029

Building renovation cost optimization with the support of fuzzy signature state machines

Publication Name: Advances in Intelligent Systems and Computing

Publication Date: 2015-01-01

Volume: 331

Issue: Unknown

Page Range: 129-138

Description:

The renovation of a significant segment of housing sector in Budapest, Hungary is overdue. Besides other causes, the absence of any effective tool that may support the decisions of the ownership communities in determining the technically verified steps and solutions in repair processes hinders the improvement of the physical condition of old residential houses. In this paper we propose a new formal method and approach for generating such tool that considers the costs and feasibilities of alternative renovation processes with professional data obtained from building diagnostics surveys, technical reports and contractors’ billing database. As a case study, a comprehensive renovation chain of the roof structure of a pre-war residential house will be evaluated.

Open Access: Yes

DOI: 10.1007/978-3-319-13153-5_13

Optimizing complex building renovation process with fuzzy signature state machines

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: 8835

Issue: Unknown

Page Range: 573-580

Description:

In contrary to recently built office and commercial buildings, the service life of the traditional European residential houses was not calculated. Some estimations exist about the life span of different types of building constructions, however, these estimations may not reassure the owners of urban-type residential houses that were built before the second world war. A thorough and professional renovation may extend the service life of buildings by decades, the question is how to prepare the most effective renovation procedure.As a combination of the fuzzy signature structure and the principles of finite-state machine a new formal method is proposed for generating a tool for supporting the renovation planning, concerning the costs and importance of repair. With the support of information obtained from a given pre-war urban-type residential house, the available technical guides and the contractors’ billing database an optimized renovation process of the roof structure is presented as a case study.

Open Access: Yes

DOI: 10.1007/978-3-319-12640-1_69

Fuzzy signature structure-based finite-state machines in a residential building renovation procedure

Publication Name: Civil Comp Proceedings

Publication Date: 2014-01-01

Volume: 105

Issue: Unknown

Page Range: Unknown

Description:

Twenty years after the transition to the market-based housing sector the overall physical condition of pre-war urban-type residential houses remained below standard in Hungary. Among other factors, the fragmented ownership structure (at present, the capital-scarce former tenants constitute the stakeholders' community), and the given physical condition of the residential houses has resulted in difficulties in maintenance and repair. The options in the renovation process are limited by financial capabilities, however, the essential problem with maintenance originates from the unprofessional approach in decision-making. Although several decision-support tools exist that may help the stakeholders' communities, some properties of these tools make them unsuitable, or, as in the case of the facility management systems, their application may result in oversized expenses with needless functions. As a combination of the fuzzy signature structure and the principles of finite-state machines a new formal method is proposed for generate a tool for the supporting stakeholders' decisions in the building rehabilitation process, concerning necessity, cost efficiency and quality. With the support of information obtained from building diagnostic surveys, technical guides and contractors' billing databases an optimized renovation protocol is proposed.

Open Access: Yes

DOI: DOI not available

Fuzzy State Machine-Based Refurbishment Protocol for Urban Residential Buildings

Publication Name: Communications in Computer and Information Science

Publication Date: 2014-01-01

Volume: 443 CCIS

Issue: PART 2

Page Range: 375-384

Description:

The urban-type residential houses built before World War Two represent a large part of the built environment in Hungary. Due to their physical condition and low energy-efficiency the retrofit of these buildings is very much advisable nowadays. In this paper we propose an approach based on fuzzy signatures and state machines, that helps decision support for determining the renovation scenario concerning necessity, cost efficiency and quality. Using the knowledge obtained from diagnostic surveys done during the previous decades by architect experts, and technical guides and the available database of contractors billing, a protocol for the preparation for optimized refurbishment is proposed, based on the concept of an extended fuzzy state machine model. In this combined model the theoretical concepts of finite-state machine and fuzzy state machine, and also the principles of fuzzy signatures are applied. © Springer International Publishing Switzerland 2014.

Open Access: Yes

DOI: 10.1007/978-3-319-08855-6_38

Decision support system for evaluating existing apartment buildings based on fuzzy signatures

Publication Name: International Journal of Computers Communications and Control

Publication Date: 2011-01-01

Volume: 6

Issue: 3

Page Range: 442-457

Description:

In historical district at European cities it is a major problem how to take decision on renovating or replacing existing buildings. This problem is imminent in Budapest (Hungary) in many traditional districts such as the Ferencváros district where we selected a compound area for further examination. By financial aid for the renovation of these buildings which awarded by Municipal Assembly of this district in question there is much uncertainty and confusion concerning how to decide whether or not and how to reconstruct a building where new private owners apply for support. In this paper we propose a formal evaluation method based on fuzzy signature rule bases (the formal being a special case of L-fuzzy object). Using the available expert knowledge we propose a fuzzy signature model including relevance weights and weighted aggregations for each node and parent node, respectively, so that as a result a single membership value may be calculated for each building in question. Linguistic labels for decision (such as worthless, average, highly valuable, etc.) are generated from the values thus obtained. Such linguistic calculations might be of help for the Municipal Assembly awarding financial support. A complete example wit 26 buildings is presented. © 2006-2011 by CCC Publications.

Open Access: Yes

DOI: 10.15837/ijccc.2011.3.2129

Management of uncertainty in visual examination procedure in building diagnostics with fuzzy expert system

Publication Name: Isciii 09 4th International Symposium on Computational Intelligence and Intelligent Informatics Proceedings

Publication Date: 2009-12-28

Volume: Unknown

Issue: Unknown

Page Range: 31-40

Description:

Every building diagnostic analysis begins with a detailed visual check of deteriorations of building elements. During this process the identification of touched components and the circumstances of the given failure are described. A properly completed survey determines the way of further analyses and interventions to be done. Thus the visual check may support indirectly the decisions which deal with the life cycle of the examined building or its part. In the case of ad hoc and independent surveys the decision-supporting ability of the traditional visual examination procedures proves to be inconsiderable, if the subjects of the surveys belong to the same property. Due to several subjective factors the evaluation of these surveys and their comparative analysis are almost impossible. It is supposable that the fuzzy expert system proposed in this article may remedy the problem mentioned above, owing to the peculiarities of this professional field (application of a variety of linguistic variables, uncertainty originated from different sources, assumptions based on experiences and observations). This paper sketches out the facts of uncertainties of the visual examination procedure in building diagnostics, then describes the architecture and components of the fuzzy expert system. Thereafter, the operation of this method is illustrated through three building diagnostics case studies. © 2009 IEEE.

Open Access: Yes

DOI: 10.1109/ISCIII.2009.5342283