Civil Engineering Inspection for Real Estate Evaluation with the Use of Artificial Learning Algorithms and Fuzzy Logic
By: Vladimir Surgelas, Irina Arhipova and Vivita Pukite
References
- Brandalise, N., Pereira, A. S. A. & Mello, L. C. B. B. (2019). Aid application multicriteria the decision based on AHP Method and Fuzzy Logic in commercial land selection. Gestão & Produção, 26(3), e3243. DOI: 10.1590/0104-530X3243-1910.1590/0104-530x3243-19
- Butler, R.V. (1982). Land Economics. Vol. 58, No. 1, pp. 96-108. DOI: 10.2307/314607910.2307/3146079
- Darlington, M, Zhao, Y, Tang, L, Austin, S & Culley, S. (2019). Measuring Information Value: key information properties and approaches to assessment. University of Bath, Bath, UK
- Del Giudice, V.; De Paola, P.; Cantisani, G.B. (2017). Valuation of Real Estate Investments through Fuzzy Logic. Buildings 2017, 7, 26. DOI:10.3390/buildings701002610.3390/buildings7010026
- Eibe F., Mark A. H, Ian H. W. (2016). The WEKA Workbench. Online Appendix for “Data Mining: Practical Machine Learning Tools and Techniques”, Morgan Kaufmann, Fourth Edition, 2016.
- Karaboga, D. & Kaya, E. (2019). Artif Intell Rev, 52: 2263. DOI: 10.1007/s10462-017-9610-210.1007/s10462-017-9610-2
- Kusan H., Aytekin O. & Özdemir I. (2010). The use of fuzzy logic in predicting house selling price. Eskisehir Osmangazi University, Department of Civil Engineering, Turkey. DOI: 10.1016/j. eswa.2009.07.031
- Lima, A. J. M. (2013). Engenharia de Avaliações. Universidade Tecnológica Federal do Paraná (UTFPR) (Evaluation Engineering. Federal Technological University of Paraná), Curitiba. (in Portuguese)
- MAEC (2006). Método de avaliação do estado de conservação de edifícios. Instruções de aplicação e ficha de avaliação. Ministério Obras Públicas, Transportes e Comunicações (Method of assessing the state of conservation of buildings. Application instructions and evaluation form. Ministry of Public Works, Transport and Communications), Outubro de 2006. LNEC. Lisboa. (in Portuguese)
- Posselt, E., Frozza, R. & Molz, R. (2015). INFUZZY: Ferramenta para desenvolvimento de aplicações de sistemas difusos. Revista Brasileira de computação aplicada (Tool for developing diffuse systems applications. Brazilian Journal of Applied Computin), 7, 1 (fev.2015), 42-52. DOI: 10.5335/rbca.2015.3960. (in Portuguese)10.5335/rbca.2015.3960
- Veiga, M.M. (1994). A heuristic system for environmental risk assessment of Mercury from gold mining operations. DOI: 10.14288/1.0081112
- Zadeh, L. A. (1999). Fuzzy sets as a basis for a theory of possibility. Fuzzy Sets and Systems. DOI: 10.1016/0165-0114(78)90029-5.10.1016/0165-0114(78)90029-5
DOI: https://doi.org/10.2478/plua-2020-0010 | Journal eISSN: 2256-0939
Language: English
Page range: 75 - 82
Submitted on: Apr 22, 2020
Accepted on: Jul 10, 2020
Published on: Jul 31, 2020
Published by: Latvia University of Life Sciences and Technologies
In partnership with: Paradigm Publishing Services
Publication frequency: 2 issues per year
Keywords:
Related subjects:
© 2020 Vladimir Surgelas, Irina Arhipova, Vivita Pukite, published by Latvia University of Life Sciences and Technologies
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.