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

Adam Bukovics, Istvan A. Harmati, Laszlo T. Koczy

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

Abstract

In this study we will describe an intervention decision-support method related to residential buildings, which is modelling the condition of buildings based on linguistic expert opinions so that it is capable of taking into consideration the uncertainties included in the expert opinions. Fuzzy signature-based model is used, wherein the uncertainties are integrated into the system by applying interval valued fuzzy sets, as well as linguistic hedges. The result will be a fuzzy set for each building, describing the condition of the whole building, specify the bourdary values between which the condition of the building may fall.

Original languageEnglish
Title of host publication2016 IEEE Symposium Series on Computational Intelligence, SSCI 2016
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781509042401
DOIs
Publication statusPublished - Feb 9 2017
Event2016 IEEE Symposium Series on Computational Intelligence, SSCI 2016 - Athens, Greece
Duration: Dec 6 2016Dec 9 2016

Other

Other2016 IEEE Symposium Series on Computational Intelligence, SSCI 2016
CountryGreece
CityAthens
Period12/6/1612/9/16

Fingerprint

Uncertainty Modeling
Fuzzy sets
Linguistics
Expert Opinion
Signature
Interval
Interval-valued Fuzzy Set
Uncertainty
Decision Support
Fuzzy Sets
Modeling
Buildings
Uncertainty modeling
Expert opinion
Residential buildings
Model
Decision support
Integrated
Hedge

Keywords

  • assessment
  • interval valued fuzzy signature
  • membership function
  • residential building
  • type-2 method

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Information Systems and Management
  • Control and Optimization
  • Artificial Intelligence

Cite this

Bukovics, A., Harmati, I. A., & Koczy, L. T. (2017). Modelling twofold uncertainty in the condition assessment of residential buildings using interval valued fuzzy signatures. In 2016 IEEE Symposium Series on Computational Intelligence, SSCI 2016 [7849994] Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/SSCI.2016.7849994

Modelling twofold uncertainty in the condition assessment of residential buildings using interval valued fuzzy signatures. / Bukovics, Adam; Harmati, Istvan A.; Koczy, Laszlo T.

2016 IEEE Symposium Series on Computational Intelligence, SSCI 2016. Institute of Electrical and Electronics Engineers Inc., 2017. 7849994.

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

Bukovics, A, Harmati, IA & Koczy, LT 2017, Modelling twofold uncertainty in the condition assessment of residential buildings using interval valued fuzzy signatures. in 2016 IEEE Symposium Series on Computational Intelligence, SSCI 2016., 7849994, Institute of Electrical and Electronics Engineers Inc., 2016 IEEE Symposium Series on Computational Intelligence, SSCI 2016, Athens, Greece, 12/6/16. https://doi.org/10.1109/SSCI.2016.7849994
Bukovics A, Harmati IA, Koczy LT. Modelling twofold uncertainty in the condition assessment of residential buildings using interval valued fuzzy signatures. In 2016 IEEE Symposium Series on Computational Intelligence, SSCI 2016. Institute of Electrical and Electronics Engineers Inc. 2017. 7849994 https://doi.org/10.1109/SSCI.2016.7849994
Bukovics, Adam ; Harmati, Istvan A. ; Koczy, Laszlo T. / Modelling twofold uncertainty in the condition assessment of residential buildings using interval valued fuzzy signatures. 2016 IEEE Symposium Series on Computational Intelligence, SSCI 2016. Institute of Electrical and Electronics Engineers Inc., 2017.
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