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Á. Bukovics¹, I.Á. Harmati² and L.T. Kóczy^3,4

¹Department of Structural and Geotechnical Engineering, Széchenyi István University, Gyor, Hungary
²Department of Mathematics and Computational Sciences, Széchenyi István University, Gyor, Hungary
³Department of Automation, Széchenyi István University, Gyor, Hungary
⁴Department of Telecommunications and Media Informatics, Budapest University of Technology and Economics, Hungary

Keywords: building diagnostics, load bearing building structures, structural deterioration, fuzzy descriptors, fuzzy operators, fuzzy signatures, real fuzzy set of values, decision support system, reliability, sensitivity of the model.

Summary

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.

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Front Page Browse CCP CSETS CTR IJRT Other Authors Search Purchase Guide FAQ Contact us	Civil-Comp Proceedings ISSN 1759-3433 CCP: 105 PROCEEDINGS OF THE NINTH INTERNATIONAL CONFERENCE ON ENGINEERING COMPUTATIONAL TECHNOLOGY Edited by: Paper 96 Sensitivity and Validity of the Fuzzy Signature Based Evaluation of Residential Building Conditions Á. Bukovics¹, I.Á. Harmati² and L.T. Kóczy^3,4 ¹Department of Structural and Geotechnical Engineering, Széchenyi István University, Gyor, Hungary ²Department of Mathematics and Computational Sciences, Széchenyi István University, Gyor, Hungary ³Department of Automation, Széchenyi István University, Gyor, Hungary ⁴Department of Telecommunications and Media Informatics, Budapest University of Technology and Economics, Hungary doi:10.4203/ccp.105.96 purchase the full-text of this paper Full Bibliographic Reference for this paper , "Sensitivity and Validity of the Fuzzy Signature Based Evaluation of Residential Building Conditions", in , (Editors), "Proceedings of the Ninth International Conference on Engineering Computational Technology", Civil-Comp Press, Stirlingshire, UK, Paper 96, 2014. doi:10.4203/ccp.105.96 Keywords: building diagnostics, load bearing building structures, structural deterioration, fuzzy descriptors, fuzzy operators, fuzzy signatures, real fuzzy set of values, decision support system, reliability, sensitivity of the model. Summary 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. purchase the full-text of this paper (price £20) go to the previous paper go to the next paper return to the table of contents return to the book description purchase this book (price £45 +P&P)
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