Complex Building’s Decision Support Method Based on Fuzzy Signatures

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 thes...

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Main Authors: Ádám Bukovics, Ferenc Lilik, László T. Kóczy
Format: Article
Language:English
Published: MDPI AG 2024-06-01
Series:Buildings
Subjects:
Online Access:https://www.mdpi.com/2075-5309/14/6/1630
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author Ádám Bukovics
Ferenc Lilik
László T. Kóczy
author_facet Ádám Bukovics
Ferenc Lilik
László T. Kóczy
author_sort Ádám Bukovics
collection DOAJ
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.
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spelling doaj.art-40e6e836b53b49d9841a2b512e7ed18c2024-06-26T14:13:06ZengMDPI AGBuildings2075-53092024-06-01146163010.3390/buildings14061630Complex Building’s Decision Support Method Based on Fuzzy SignaturesÁdám Bukovics0Ferenc Lilik1László T. Kóczy2Depeartment of Structural and Geotechnical Engineering, Széchenyi István University, 9023 Győr, HungaryDepartment of Telecommunications, Széchenyi István University, 9023 Győr, HungaryDepartment of Computer Science, Széchenyi István University, 9023 Győr, HungaryIn 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.https://www.mdpi.com/2075-5309/14/6/1630complex frameworkfuzzy signaturecondition assessmentdecision supportapartment buildingbuilding renovation
spellingShingle Ádám Bukovics
Ferenc Lilik
László T. Kóczy
Complex Building’s Decision Support Method Based on Fuzzy Signatures
Buildings
complex framework
fuzzy signature
condition assessment
decision support
apartment building
building renovation
title Complex Building’s Decision Support Method Based on Fuzzy Signatures
title_full Complex Building’s Decision Support Method Based on Fuzzy Signatures
title_fullStr Complex Building’s Decision Support Method Based on Fuzzy Signatures
title_full_unstemmed Complex Building’s Decision Support Method Based on Fuzzy Signatures
title_short Complex Building’s Decision Support Method Based on Fuzzy Signatures
title_sort complex building s decision support method based on fuzzy signatures
topic complex framework
fuzzy signature
condition assessment
decision support
apartment building
building renovation
url https://www.mdpi.com/2075-5309/14/6/1630
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AT ferenclilik complexbuildingsdecisionsupportmethodbasedonfuzzysignatures
AT laszlotkoczy complexbuildingsdecisionsupportmethodbasedonfuzzysignatures