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

Gergely I. Molnárka, LáSzlò TamáS Kòczy

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Citations (Scopus)

Abstract

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.

Original languageEnglish
Title of host publicationComputational Intelligence in Information Systems - Proceedings of the 4th INNS Symposia Series on Computational Intelligence in Information Systems, INNS-CIIS 2014
EditorsSomnuk Phon-Amnuaisuk, Thien-Wan Au
PublisherSpringer Verlag
Pages129-138
Number of pages10
ISBN (Electronic)9783319131528
DOIs
Publication statusPublished - Jan 1 2015
Event4th International Neural Network Society Symposia Series on Computational Intelligence in Information Systems, INNS-CIIS 2014 - Bandar Seri Begawan, Brunei Darussalam
Duration: Nov 7 2014Nov 9 2014

Publication series

NameAdvances in Intelligent Systems and Computing
Volume331
ISSN (Print)2194-5357

Other

Other4th International Neural Network Society Symposia Series on Computational Intelligence in Information Systems, INNS-CIIS 2014
CountryBrunei Darussalam
CityBandar Seri Begawan
Period11/7/1411/9/14

Keywords

  • Building renovation chain
  • Fuzzy signature
  • Fuzzy state machine
  • Urban-type residential house

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Computer Science(all)

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  • Cite this

    Molnárka, G. I., & Kòczy, L. T. (2015). Building renovation cost optimization with the support of fuzzy signature state machines. In S. Phon-Amnuaisuk, & T-W. Au (Eds.), Computational Intelligence in Information Systems - Proceedings of the 4th INNS Symposia Series on Computational Intelligence in Information Systems, INNS-CIIS 2014 (pp. 129-138). (Advances in Intelligent Systems and Computing; Vol. 331). Springer Verlag. https://doi.org/10.1007/978-3-319-13153-5_13