Academic Journal
IMPROVEMENTS IN THE CIVIL ENGINEERING FOCUSED ON THE REAL ESTATE APPRAISAL WITH THE USE OF ARTIFICIAL INTELLIGENCE AND FUZZY LOGIC.
| Τίτλος: | IMPROVEMENTS IN THE CIVIL ENGINEERING FOCUSED ON THE REAL ESTATE APPRAISAL WITH THE USE OF ARTIFICIAL INTELLIGENCE AND FUZZY LOGIC. |
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| Συγγραφείς: | Vladimir, Surgelas, Vivita, Pukite, Irina, Arhipova |
| Πηγή: | Journal Baltic Surveying; 2020, Vol. 12, p44-52, 9p |
| Θεματικοί όροι: | Civil engineering, Real property, Artificial intelligence, Fuzzy logic, Regression analysis |
| Περίληψη: | In the field of civil engineering, there are some traditional methods of property evaluation that deal with these techniques. However, there is controversy about what would bring the best performance, a greater degree of ease and clarity without presenting multicollinearity. This controversy is due to the difficulty of finding appropriate predictive variables in real estate valuation since they often do not fit the binary model, involving human subjectivity. From this, the research aims to propose improvements in the property evaluation process with the use of artificial intelligence without presenting the effects of multicollinearity and autocorrelation, to predict the value of the real estate market. The object of study is a standard 2-bedroom residential apartment with 48m-2 located in the central area of Jelgava, Latvia, in October 2019. Therefore, the methodology uses statistical inference as an initial analysis parameter and the fuzzy logic incorporates the best association rules which are originated from artificial intelligence extracted from the apriori algorithm. Finally, the results obtained by regression and fuzzy were compared with the value in euros m-2, according to the official publication of the government of Latvia, referring to the market value of a 2-bedroom residential apartment in the city of Jelgava, Latvia, in October 2019, this government publication is the reference for this study. The statistical hypotheses that allowed its validation were accepted. In the Fuzzy model, the results indicated an excellent equivalence to market prices in relation to the traditional valuation process. [ABSTRACT FROM AUTHOR] |
| Copyright of Journal Baltic Surveying is the property of Latvia University of Life Sciences & Technologies and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.) | |
| Βάση Δεδομένων: | Complementary Index |
| FullText | Text: Availability: 0 |
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| Header | DbId: edb DbLabel: Complementary Index An: 145102911 RelevancyScore: 886 AccessLevel: 6 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 885.81396484375 |
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| Items | – Name: Title Label: Title Group: Ti Data: IMPROVEMENTS IN THE CIVIL ENGINEERING FOCUSED ON THE REAL ESTATE APPRAISAL WITH THE USE OF ARTIFICIAL INTELLIGENCE AND FUZZY LOGIC. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Vladimir%2C+Surgelas%22">Vladimir, Surgelas</searchLink><br /><searchLink fieldCode="AR" term="%22Vivita%2C+Pukite%22">Vivita, Pukite</searchLink><br /><searchLink fieldCode="AR" term="%22Irina%2C+Arhipova%22">Irina, Arhipova</searchLink> – Name: TitleSource Label: Source Group: Src Data: Journal Baltic Surveying; 2020, Vol. 12, p44-52, 9p – Name: Subject Label: Subject Terms Group: Su Data: <searchLink fieldCode="DE" term="%22Civil+engineering%22">Civil engineering</searchLink><br /><searchLink fieldCode="DE" term="%22Real+property%22">Real property</searchLink><br /><searchLink fieldCode="DE" term="%22Artificial+intelligence%22">Artificial intelligence</searchLink><br /><searchLink fieldCode="DE" term="%22Fuzzy+logic%22">Fuzzy logic</searchLink><br /><searchLink fieldCode="DE" term="%22Regression+analysis%22">Regression analysis</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: In the field of civil engineering, there are some traditional methods of property evaluation that deal with these techniques. However, there is controversy about what would bring the best performance, a greater degree of ease and clarity without presenting multicollinearity. This controversy is due to the difficulty of finding appropriate predictive variables in real estate valuation since they often do not fit the binary model, involving human subjectivity. From this, the research aims to propose improvements in the property evaluation process with the use of artificial intelligence without presenting the effects of multicollinearity and autocorrelation, to predict the value of the real estate market. The object of study is a standard 2-bedroom residential apartment with 48m-2 located in the central area of Jelgava, Latvia, in October 2019. Therefore, the methodology uses statistical inference as an initial analysis parameter and the fuzzy logic incorporates the best association rules which are originated from artificial intelligence extracted from the apriori algorithm. Finally, the results obtained by regression and fuzzy were compared with the value in euros m-2, according to the official publication of the government of Latvia, referring to the market value of a 2-bedroom residential apartment in the city of Jelgava, Latvia, in October 2019, this government publication is the reference for this study. The statistical hypotheses that allowed its validation were accepted. In the Fuzzy model, the results indicated an excellent equivalence to market prices in relation to the traditional valuation process. [ABSTRACT FROM AUTHOR] – Name: Abstract Label: Group: Ab Data: <i>Copyright of Journal Baltic Surveying is the property of Latvia University of Life Sciences & Technologies and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.) |
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| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.22616/j.balticsurveying.2020.007 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 9 StartPage: 44 Subjects: – SubjectFull: Civil engineering Type: general – SubjectFull: Real property Type: general – SubjectFull: Artificial intelligence Type: general – SubjectFull: Fuzzy logic Type: general – SubjectFull: Regression analysis Type: general Titles: – TitleFull: IMPROVEMENTS IN THE CIVIL ENGINEERING FOCUSED ON THE REAL ESTATE APPRAISAL WITH THE USE OF ARTIFICIAL INTELLIGENCE AND FUZZY LOGIC. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Vladimir, Surgelas – PersonEntity: Name: NameFull: Vivita, Pukite – PersonEntity: Name: NameFull: Irina, Arhipova IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 01 Text: 2020 Type: published Y: 2020 Identifiers: – Type: issn-print Value: 2255999X Numbering: – Type: volume Value: 12 Titles: – TitleFull: Journal Baltic Surveying Type: main |
| ResultId | 1 |