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Extended Fuzzy Signature Based Model for Qualification of Residential Buildings

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Computational Intelligence and Mathematics for Tackling Complex Problems

Part of the book series: Studies in Computational Intelligence ((SCI,volume 819))

Abstract

Residential buildings can be qualified and ranked based on many viewpoints. For the intervening decision-supporting survey of old residential buildings in the course of our former researches we have created a fuzzy signature based model which defines status evaluation and ranking of buildings on the basis of the condition of load-bearing structures and other building structures. We have extended and changed this model in a way so that it should take into account other viewpoints, too, which, in addition to the load bearing viewpoints strongly influence the manner of intervening. Since in addition to the importance of the given structure the relevance of the building structures of residential buildings are determined also by their quantities and other features, in our case it was necessary to determine relative and absolute relevance weights. We use a structure of fuzzy signature with variable aggregations, where the definition of aggregations is made by parameters, and the value of parameters are changing depending on the specific application, which follow the changes of relevance of given subtrees. The developed method is examined on the basis of a database for which we were used status evaluating expert reports relating to real stock of residential buildings.

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References

  1. Bukovics, Á., Kóczy L.T.: Fuzzy signature-based model for qualification and ranking of residential buildings. In: XXXVIII. IAHS World Congress on Housing, pp. 290–297. Istanbul, Turkey (2012)

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Acknowledgements

This work was supported by EFOP-3.6.1-16-2016-00017 “Internationalisation, initiatives to establish a new source of researchers and graduates, and development of knowledge and technological transfer as instruments of intelligent specialisations at Széchenyi István University” and by the National Research, Development and Innovation Office (NKFIH), Hungary; grant number K124055.

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Correspondence to Á. Bukovics .

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Bukovics, Á., Fogarasi, G., Kóczy, L.T. (2020). Extended Fuzzy Signature Based Model for Qualification of Residential Buildings. In: Kóczy, L., Medina-Moreno, J., Ramírez-Poussa, E., Šostak, A. (eds) Computational Intelligence and Mathematics for Tackling Complex Problems. Studies in Computational Intelligence, vol 819. Springer, Cham. https://doi.org/10.1007/978-3-030-16024-1_12

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