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

Bukovics, Ádám; Harmati, István; Kóczy, László T.

doi:10.1109/ssci.2016.7849994

Cited by 2 publications

(3 citation statements)

References 3 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Bukovics et al (2016) modelled condition assessment process of residential buildings. They described the intervention decision-support model with regards to residential buildings, which is modelling the condition of assets based on linguistic expert opinions so that it can consider the uncertainties included in the linguistic descriptions.…”

Section: Literature Reviewmentioning

confidence: 99%

“…The use of LP has been extended to build DSSs by applying algorithms that suits the structure of the linear problem at hand for the decision maker (Ploskas et al, 2014). Bukovics et al (2016) modelled condition assessment process of residential buildings. They described the intervention decision-support model with regards to residential buildings, which is modelling the condition of assets based on linguistic expert opinions so that it can consider the uncertainties included in the linguistic descriptions.…”

Section: Decision Support System (Dss)mentioning

confidence: 99%

See 1 more Smart Citation

Decision support system (DSS) for facilities rehabilitation and management (part 2): development of optimized intervention strategy

Aldeeb,

Qasem

2024

View full text Add to dashboard Cite

Purpose This paper (Part 2 of 2) aims to expand the previously developed performance assessment model (PAM) into a decision support system (DSS) to produce optimized decisions on rehabilitation of facilities. Design/methodology/approach The research includes a comprehensive PAM that integrates analytical hierarchy process-multi attribute utility theory methods for the physical, operational, and environmental aspects of the mosque, as described in Part 1 of the study. An optimized intervention tool is added to the PAM to complete the DSS development. The tool determines the optimum maintenance decisions that are in line with the budget and condition criticality. The deterioration measures are created using a deterministic straight-line extrapolation technique, and the intervention actions used in the optimization are specified through literature review and in-depth interviews with 11 experts. The optimization model was simplified into a user-friendly visual basic application and applied to an existing facility case study depicting its useful functionality. Findings The optimization model recommendation of interventions recovered the overall condition rating index (CRI) of the facility while maintaining budget constraints. The CRI in the first approach (minimum budget to achieve acceptable overall performance) was improved from 6.5 to 7.76, costing 275,850 SAR. While the second approach (Maximum recovery with a selected budget constraint, 300,000 SAR in this case) CRI was improved from 6.5 to 8.3, costing 299,850 SAR. Originality/value The presented DSS in this paper offers a tool that enables the rehabilitation and overall management of any facility by its managers. The DSS can also be further customized to fit the facility manager’s specific strategies and achieve desired objectives.

show abstract

Section: Literature Reviewmentioning

confidence: 99%

Section: Decision Support System (Dss)mentioning

confidence: 99%

Decision support system (DSS) for facilities rehabilitation and management (part 2): development of optimized intervention strategy

Aldeeb,

Qasem

2024

View full text Add to dashboard Cite

show abstract

“…Parts of this system have been explored in our previous research, and we used the insights gained from these studies to inform the development of this decision model [28,29]. Compared to previous publications of our framework and results, with special regard to our last publication [1], this article presents the CBDF system in much more detail with more examples, and it also contains new experimental results. To mitigate these discrepancies, our aim is to develop a uniform and objective method for the condition assessment and decision support for intervention in these historic buildings.…”

mentioning

confidence: 99%

Complex Building’s Decision Support Method Based on Fuzzy Signatures

Bukovics,

Lilik,

Kóczy

2024

Buildings

View full text Add to dashboard Cite

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.

show abstract

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

Cited by 2 publications

References 3 publications

Decision support system (DSS) for facilities rehabilitation and management (part 2): development of optimized intervention strategy

Decision support system (DSS) for facilities rehabilitation and management (part 2): development of optimized intervention strategy

Complex Building’s Decision Support Method Based on Fuzzy Signatures

Contact Info

Product

Resources

About