Decision Support System for Evaluating Existing Apartment Buildings Based on Fuzzy Signatures

  • Gergely I. Molnárka Széchenyi István University, Györ, Hungary, H-9026 Györ, Egyetem tér 1.
  • László T. Kóczy Széchenyi István University, Györ, Hungary, H-9026 Györ, Egyetem tér 1.

Abstract

In historical district at European cities it is a major problem how to take decision on renovating or replacing existing buildings. This problem is imminent in Budapest (Hungary) in many traditional districts such as the Ferencváros district where we selected a compound area for further examination. By financial aid for the renovation of these buildings which awarded by Municipal Assembly of this district in question there is much uncertainty and confusion concerning how to decide whether or not and how to reconstruct a building where new private owners apply for support. In this paper we propose a formal evaluation method based on fuzzy signature rule bases (the formal being a special case of L-fuzzy object). Using the available expert knowledge we propose a fuzzy signature model including relevance weights and weighted aggregations for each node and parent node, respectively, so that as a result a single membership value may be calculated for each building in question. Linguistic labels for decision (such as worthless, average, highly valuable, etc.) are generated from the values thus obtained. Such linguistic calculations might be of help for the Municipal Assembly awarding financial support. A complete example wit 26 buildings is presented.

References

[1] G. Locsmándi, Large-Scale Restructuring Processes in the Urban Space of Budapest, in R. Dalla D. Longa (ed.) Urban Models and Public-Private Partnership, Berlin, Springer Berlin Heidelberg, 2011

[2] S. Lowe, A tale of two cities - rental housing in Budapest and Sofia in the 1990s, Journal of Housing and the Built Environment, Kluwer Academic Publishers, pp. 249-266, 2000

[3] L. T. Kóczy and D. Tikk, Fuzzy Systems (in Hungarian), Budapest, Typotex, 2000

[4] L. A. Zadeh. Fuzzy Sets, Information and Control, 8, pp. 338-353, 1965
http://dx.doi.org/10.1016/S0019-9958(65)90241-X

[5] J. A.Goguen, L-Fuzzy Sets, Journal of Mathematical Analysis and Applications, 18, pp. 154-174, 1967
http://dx.doi.org/10.1016/0022-247X(67)90189-8

[6] L. T. Kóczy, Vector Valued Fuzzy Sets, BUSEFAL, Tolouse, pp. 41-57, 1980

[7] L. T. Kóczy, T. Vámos, G. Biró, Fuzzy Signatures, Proceedings of EUROFUSEC-SIC'99, Budapest, pp. 210-217, 1999

[8] K. W.Wong, A. Chong, T. D. Gedeon, L. T. Kóczy, Hierarchial Fuzzy Signature Structure for Complex Structured Data, Proceedings of the International Symposium on Computational Intelligence and Intelligent Informatics, Nabeul, Tunisia, pp. 105-109, 2003

[9] I. Anica-Popa, G. Cucui, A Framework for Enhancing Competitive Intelligence Capabilities using Decision Support System based on Web Mining Techniques, International Journal of Computers Communications & Control, ISSN 1841-9836, 4(4):326-334, 2009

[10] A. Koppány, A Diagnostic System Created for Evaluation the Quality of Building Constructions, Proceedings of 11 DBMC International Conference on Durability of Building Materials and Components, Istambul, 2008

[11] C. O. Pedro et al., Portuguese Method for Building Condition Assessment, Emerald, Lisbon, 26, pp. 322-335, 2008

[12] I. Szaradics, Adaptability of Fuzzy Control Systems in Bridge Management (M.Sc thesis), Györ, Széchenyi István University, 2007

[13] Gy. Agárdy, Fuzzy Logic Techniques in Bridge Management Systems, Acta Technica Jaurinensis, Győr, Széchenyi István University, 1, pp. 49-60, 2008

[14] G. I. Molnàrka, The Construction of the Knowledge Base of Fuzzy Expert System in Building Pathology - From a Functional Access, Proceedings of CIB World Building Congress, Rotterdam, pp. 1406-1417, 2007

[15] B. S. U. Mendis, T. D. Gedeon, J. Botzheim, L. T. Kóczy, Generalised Weighted Relevance Aggregation Operators for Hierarchical Fuzzy Signatures, Proceedings of the International Conference on Computational Intelligence for Modelling, Control and Automation (CIMCA 2006), Sydney, 2006

[16] B. S. U. Mendis, T. D. Gedeon,L. T. Kóczy, On the Issue of Learning Weights from Observations for Fuzzy Signatures, Proceedings of the World Automation Congress 2006, Budapest, pp. 1-6, 2006
http://dx.doi.org/10.1109/WAC.2006.376058

[17] E. H. Ruspini, A New Approach to Clustering, Information Control, 15, pp. 22-32, 1969
http://dx.doi.org/10.1016/S0019-9958(69)90591-9

[18] A. Mehler, K. Reinhard, G. Klir, K. Sentz, On the Issue of Linguistic Approximation. Aspects of Automatic Text Analysis, Studies in Fuzziness and Soft Computing, Berlin, Springer Berlin, Heidelberg, 209, pp. 61-78, 2007

[19] E.H.Mamdani, S.Assilian, An Experiment in linguistic variables with a fuzzy logic controller, International Journal of Man Machine Studies, 7, pp. 1-13, 1975
http://dx.doi.org/10.1016/S0020-7373(75)80002-2

[20] K. Tamás, L. T. Kóczy, Mamdani-type Inference in Fuzzy Signature Based Rule Bases, 8th International Symposium of Hungarian Researchers on Computational Intelligence and Informatics, Budapest, pp. 513-525, 2007
Published
2011-09-01
How to Cite
MOLNÁRKA, Gergely I.; KÓCZY, László T.. Decision Support System for Evaluating Existing Apartment Buildings Based on Fuzzy Signatures. INTERNATIONAL JOURNAL OF COMPUTERS COMMUNICATIONS & CONTROL, [S.l.], v. 6, n. 3, p. 442-457, sep. 2011. ISSN 1841-9844. Available at: <http://univagora.ro/jour/index.php/ijccc/article/view/2129>. Date accessed: 30 nov. 2020. doi: https://doi.org/10.15837/ijccc.2011.3.2129.

Keywords

building condition evaluation, fuzzy signatures, weighted relevance aggregation operators