Optimizing complex building renovation process with fuzzy signature state machines

Gergely I. Molnáarka, L. Kóczy

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

1 Citation (Scopus)

Abstract

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.

Original languageEnglish
Title of host publicationNeural Information Processing - 21st International Conference, ICONIP 2014, Proceedings
PublisherSpringer Verlag
Pages573-580
Number of pages8
Volume8835
ISBN (Print)9783319126395
Publication statusPublished - 2014
Event21st International Conference on Neural Information Processing, ICONIP 2014 - Kuching, Malaysia
Duration: Nov 3 2014Nov 6 2014

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume8835
ISSN (Print)03029743
ISSN (Electronic)16113349

Other

Other21st International Conference on Neural Information Processing, ICONIP 2014
CountryMalaysia
CityKuching
Period11/3/1411/6/14

Fingerprint

State Machine
Signature
Service life
Life Span
Formal Methods
Repair
Formal methods
Planning
Finite automata
Contractors
Roofs
Costs
Life
Buildings

Keywords

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

ASJC Scopus subject areas

  • Computer Science(all)
  • Theoretical Computer Science

Cite this

Molnáarka, G. I., & Kóczy, L. (2014). Optimizing complex building renovation process with fuzzy signature state machines. In Neural Information Processing - 21st International Conference, ICONIP 2014, Proceedings (Vol. 8835, pp. 573-580). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 8835). Springer Verlag.

Optimizing complex building renovation process with fuzzy signature state machines. / Molnáarka, Gergely I.; Kóczy, L.

Neural Information Processing - 21st International Conference, ICONIP 2014, Proceedings. Vol. 8835 Springer Verlag, 2014. p. 573-580 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 8835).

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

Molnáarka, GI & Kóczy, L 2014, Optimizing complex building renovation process with fuzzy signature state machines. in Neural Information Processing - 21st International Conference, ICONIP 2014, Proceedings. vol. 8835, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 8835, Springer Verlag, pp. 573-580, 21st International Conference on Neural Information Processing, ICONIP 2014, Kuching, Malaysia, 11/3/14.
Molnáarka GI, Kóczy L. Optimizing complex building renovation process with fuzzy signature state machines. In Neural Information Processing - 21st International Conference, ICONIP 2014, Proceedings. Vol. 8835. Springer Verlag. 2014. p. 573-580. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).
Molnáarka, Gergely I. ; Kóczy, L. / Optimizing complex building renovation process with fuzzy signature state machines. Neural Information Processing - 21st International Conference, ICONIP 2014, Proceedings. Vol. 8835 Springer Verlag, 2014. pp. 573-580 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).
@inproceedings{1ee4cfe9a8354eecb581a2ba20d21728,
title = "Optimizing complex building renovation process with fuzzy signature state machines",
abstract = "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.",
keywords = "Building renovation, Fuzzy signature, Fuzzy state machine, Urban-type residential house",
author = "Moln{\'a}arka, {Gergely I.} and L. K{\'o}czy",
year = "2014",
language = "English",
isbn = "9783319126395",
volume = "8835",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer Verlag",
pages = "573--580",
booktitle = "Neural Information Processing - 21st International Conference, ICONIP 2014, Proceedings",

}

TY - GEN

T1 - Optimizing complex building renovation process with fuzzy signature state machines

AU - Molnáarka, Gergely I.

AU - Kóczy, L.

PY - 2014

Y1 - 2014

N2 - 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.

AB - 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.

KW - Building renovation

KW - Fuzzy signature

KW - Fuzzy state machine

KW - Urban-type residential house

UR - http://www.scopus.com/inward/record.url?scp=84910132109&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=84910132109&partnerID=8YFLogxK

M3 - Conference contribution

AN - SCOPUS:84910132109

SN - 9783319126395

VL - 8835

T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

SP - 573

EP - 580

BT - Neural Information Processing - 21st International Conference, ICONIP 2014, Proceedings

PB - Springer Verlag

ER -