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GIS技術(shù)在房地產(chǎn)估價中的應(yīng)用研究

發(fā)布時間:2018-04-25 23:03

  本文選題:房地產(chǎn)估價 + GIS; 參考:《江西理工大學(xué)》2013年碩士論文


【摘要】:隨著我國房地產(chǎn)業(yè)的快速發(fā)展,作為其重要組成部分的房地產(chǎn)估價業(yè),也有了較大發(fā)展。房地產(chǎn)估價由于其產(chǎn)業(yè)發(fā)展及理論研究都不夠成熟,估價方法還不夠完善,估價效率還普遍偏低,估價質(zhì)量不高等現(xiàn)象,,這影響了估價業(yè)的健康發(fā)展。因此,進行房地產(chǎn)評估原理方法的研究顯得極其需要。 本研究以評估業(yè)出現(xiàn)的狀況為探討的原點,以本國和其他國家研究人員的研究結(jié)論為基石,參照本國在該行業(yè)現(xiàn)實工作中的實際情況,按照灰色理論和模糊數(shù)學(xué)原理,創(chuàng)建以這些理論為基礎(chǔ)的估價結(jié)構(gòu)模型,并將這些結(jié)構(gòu)模型與GIS技術(shù)集成,建立GIS體系下的評估系統(tǒng)。 在確定本文選題,明確本文研究思路及方法之后,本文首先對估價的原理、方法進行了闡述,然后分析了估價工作的困難所在及估價實踐中出現(xiàn)的問題:在對可比實例進行選擇時存在隨意性,在對特征因素進行修正時存在主觀及不完備性,在對房地產(chǎn)最終價格求取時存在主觀性等;其次利用灰色關(guān)聯(lián)分析理論的關(guān)聯(lián)度概念來度量對房地產(chǎn)價格有影響的要素與其價格的關(guān)聯(lián)系數(shù),根據(jù)關(guān)聯(lián)度大小確定各價格影響因素對房地產(chǎn)價格的影響權(quán)重;然后引入模糊數(shù)學(xué)理論中的貼近度及擇近原則對交易案例實施篩選,并且就價格影響要素的隸屬度運算進行了改進,根據(jù)指數(shù)平滑法的計算原理,將貼近度大小轉(zhuǎn)化為價格的影響權(quán)重,求取估價項目的最終價格。 同時,以地理信息系統(tǒng)為技術(shù)支撐,對GIS體系下的估價系統(tǒng)做了全面構(gòu)造設(shè)計、系統(tǒng)實現(xiàn)能力模塊設(shè)計、系統(tǒng)數(shù)據(jù)庫設(shè)計等;最后,本系統(tǒng)實現(xiàn)的工具為Visual Studio2010,實現(xiàn)的平臺體系為ArcGIS10.0,利用的數(shù)據(jù)封裝為MapControl、TocControl、ToolBarControl,以文件地理數(shù)據(jù)方式存儲空間數(shù)據(jù),以access小型庫保存屬性數(shù)據(jù),實現(xiàn)了GIS輔助房地產(chǎn)估價的相關(guān)功能,達到了利用灰色關(guān)聯(lián)分析和模糊數(shù)學(xué)理論在GIS平臺下進行估價的要求,增加估價工作的科學(xué)性與高效性。
[Abstract]:With the rapid development of China's real estate industry, the real estate valuation industry, as an important part of it, has also made great progress. The real estate valuation is not mature enough for its industry development and theoretical research, the evaluation method is not perfect, the evaluation efficiency is still low, the appraisal quality is not high and so on, which has affected the healthy development of the appraisal industry. Therefore, it is extremely necessary to study the principle and method of real estate evaluation. In this study, the origin of this study is the assessment of the situation in the industry, the research findings of the researchers in our country and other countries as the cornerstone, referring to the actual situation in the industry, according to the grey theory and fuzzy mathematics principle. The evaluation structure model based on these theories is established, and the evaluation system under the GIS system is established by integrating these structural models with GIS technology. After determining the topic of this paper and clarifying the research ideas and methods of this paper, this paper first expounds the principle and method of valuation. Then it analyzes the difficulties in the evaluation work and the problems in the evaluation practice: there is arbitrariness in the selection of comparable examples, subjective and incomplete in the correction of the characteristic factors. There is subjectivity in the calculation of the final price of real estate. Secondly, the concept of correlation degree of grey correlation analysis is used to measure the correlation coefficient between the factors that affect the real estate price and its price. According to the correlation degree, the influence weight of each price influence factor on the real estate price is determined, and then the closeness degree and the nearest selection principle in fuzzy mathematics theory are introduced to screen the transaction cases. Based on the calculation principle of exponential smoothing method, the value of closeness is transformed into the influence weight of price, and the final price of valuation item is obtained. At the same time, taking GIS as the technical support, the evaluation system under the GIS system is designed in a comprehensive way, the system realization ability module design, the system database design and so on. The tool of this system is Visual Studio 2010, the platform system is ArcGIS 10.0, the data encapsulated as MapControlTocControlControl ToolBarControl. the spatial data is stored in the form of file geography data, the attribute data is saved by access small library, and the related function of GIS aided real estate evaluation is realized. It meets the requirements of using grey relational analysis and fuzzy mathematics theory to evaluate on GIS platform, and increases the scientific and high efficiency of the evaluation work.
【學(xué)位授予單位】:江西理工大學(xué)
【學(xué)位級別】:碩士
【學(xué)位授予年份】:2013
【分類號】:F299.23;P208

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