Real Estate Investment Decision Support System

Abstract: The real estate is a highly integrated system industry, this complex decision-making has been difficult to accurately make the experience alone. At present, China in real estate Investment decision support system is not much need to be further developed. Therefore, decision support systems Technology to real estate Investment real estate Investment decision-making is a major change.

Keywords: real estate decision support system; data warehouse; online analytical processing; data mining

Real estate Investment is not only related to the Development of the national economy, but also involves the construction, finance, business, municipal construction, energy, transportation and other important sectors. The real estate market changes quickly, the huge Investment, high risk, to complete Such a decision requires taking into account the main market makers, materials, funds, municipal construction and many other factors, and make comprehensive judgments, this complex decision-making has been difficult to properly make the experience alone. real estate is a very comprehensive strong systems Engineering, related to the state, collective and individual interests, the ups and downs of the national economy, its prosperity and a reflection of low Economic Development. Therefore, the real estate industry can help policy-makers urgently need a comprehensive consideration of various factors, according to scientific decision-making methods, tools supporting decision makers to make decisions. 
Decision support system to address the real estate Investment decision-making problems that appear to provide a solution. Decision support system is a Computer-based system to help decision makers to interact directly with the system through the use of unstructured data and decision-making model to solve the problem . through decision support systems, real estate developers to develop the project can be a variety of situations to have a more in-depth understanding of the factors that can be integrated in all aspects of Investment projects to make a reasonable judge, thereby reducing the real estate Investment blindness, to make the Investment more accurately, the yield higher. In this paper, the actual situation of real estate Investment, a real estate investment decision support system for real estate investment decision support, enterprise project management rapid decision support to improve the decision making of investors. 

A real estate investment decision support system 

Real Estate Investment Decision Support System Decision Support System is applied to the real estate investment, so that it can effectively aid decision making on real estate investors, improve the efficiency and accuracy of decision-making. 
(A) real estate investment decision support system's basic functionality 
The system is divided into the real estate market Research and forecasting, Economic evaluation, risk analysis and feasibility report generation, and other four modules. Through the real estate market Research and forecasting module, users can easily understand the status of the real estate market conditions and the economy , and to future Developments in the real estate market to make a rough prediction. through Economic evaluation module can be made on the accurate assessment of investment projects to determine the profitability of this project. risk analysis module of the investment projects as a general risk analysis, the user through the various investment programs of Economic evaluation and risk trade-off, can make more accurate judgments. feasibility report generation module can automatically generate project feasibility report, according to the specific circumstances of the user can Add the contents of the feasibility report. 
(B) the basic structure 
Encountered in real estate investment is more variability factors, coupled with real estate investment itself has a high risk, which makes the traditional MIS systems can not meet the needs of real estate investment decision-making, decision support system can only use effective solution to this problem. However, the traditional decision support system also has its shortcomings, not a good real estate investment for effective decision support. Therefore, the system draws on a recently developed decision support system for new Technology, A new model of the real estate decision support system. 
Data warehouse, OLAP, data mining is a decision support system Development in emerging technologies, these technologies will be introduced to the real estate decision support system decision support systems can enhance the function. The structure of the system shown in Figure 1. 

Among them, the data warehouse is to support the needs of decision-making in the database developed on the basis of a new Technology. Data warehouse can be used for a large number of transaction data in the database to clean up, extraction and conversion, according to the main decision-making need to re-organize. data warehouse data in a variety of decision problems can be adapted to the diversity of requirements, data warehousing focused on subject-oriented data storage and management. OLAP data warehouse can analyze large amounts of data, from which extract useful Information to play a supporting role in decision-making. Data mining is the discovery of knowledge arise out of the concept, the data mining techniques to the analysis of the data warehouse data warehouse can be effectively excavated from the valuable things , which is conducive to supporting decision-making.


Second, real estate investment decision-making system related Technology 

Traditional decision support system is the use of databases, multi-model human-Computer interaction organic combination, support scientific decision makers to achieve a comprehensive integrated system. Since the since the formation of decision support Technology in the world has been widely used, but the decision support Development also encountered some problems, the problems are the following aspects: (1) DSS database can only be used for general processing of raw data and summary, and decision support involves a lot of historical data and semi-structured problem, the traditional database management system is difficult to solve complex semi-structured, can not meet the needs of DSS; (2) decision support system to integrate data, but in reality the data are often decentralized and mostly distributed in the heterogeneous data platform, data integration is not easy; (3) The issues involved in decision-making itself, the dynamic and complex nature of the situation should be different for different treatment methods, and model analysis capabilities provided by the library is limited, the results obtained are often unsatisfactory; (4) Decision support system requires data, models, knowledge and interface integration. database language ability of lower numerical calculation, which uses database management technology to build decision support systems knowledge representation and knowledge of comprehensive capacity is weak, it is difficult to improve decision-making to meet the growing requirements. 
Data warehouse, OLAP and data mining techniques, decision support system to inject new vitality, data warehousing, online analytical processing and data mining technologies, is conducive to solving the above conventional decision support system problems for decision support for the development of a new way. 
(A) data warehouse (DW) technology 
Information systems, there are two types of data: operational data and decision support type of data. The former is generated by the daily transaction processing, which is processed to the former (clean up and integration) formed. Operational data services in the daily affairs processing, decision support value-added data services in the Information. At present, there are decisions to support the theory of community-based data system, known as data warehouses. When the need for policy-making departments to provide timely, accurate, detailed and reliable risk Information, mass data storage and processing has become the most important issue, which is the data warehouse expertise. 
(B) of the online analytical processing (OLAP) 
OLAP is a decision analysis tool, which is a particular problem for online data access and data analysis resulting from a technology that can analyze the requirements of staff, fast and flexible way to query large amounts of data processing complex, and intuitive, easy to understand in the form of the query results to various decision makers, resulting in highly summarized Information. OLAP data warehouse is based on information analysis processing, data warehousing is part of the user interface. OLAP that independent of the data by warehouse analysis, decision-makers the flexibility to control project progress data to multi-dimensional form from various angles and to observe the state of progress of the project, understand the project schedule changes. OLAP technical analysis methods are sliced, drilled, Victoria degrees of freedom combination of free icons to switch, and the formation of performance-friendly, rich reporting results. 
(C) data mining (DM) technology 
Data mining can be called knowledge discovery in databases, data is extracted from a large number of reliable, innovative and effective and can be understood in the high-level process model is the database technology, artificial intelligence, neural networks, machine learning and other fields interdisciplinary. Data mining is a process that is hidden from large databases in which to extract actionable information understandable aim is to assist in the analysis, decision-makers to find the relationship between the data and found that the elements are ignored, and this information is essential for decision making. 
Commonly used data mining techniques and algorithms are decision trees, neural networks, the concept of tree, genetic algorithm, fuzzy mathematics, statistical analysis, visualization, rough set, formula discovery. Role of data mining can automatically predict trends and behavior , association analysis, clustering and so on. data warehouse, OLAP, data mining as three separate information processing occurs, but they are to solve the problem of decision-support analysis developed as the main driving force, with some connection and complementary. in which the data warehouse for data storage and organization, online analytical processing focus on data analysis, data mining is to automatically discover knowledge. Links http://www.hi138.com Research Papers Download Third, the real estate investment decision support system function modules 

(A) market Research and forecasting 
Market Research is a real estate investment in a very important element, often the success or failure of investment relations. In this system, market Research and forecasting module includes state of the economy, urban economy, the consolidation of the city, the city weather conditions, urban development plan, targeting the housing needs of the investigation, the housing situation of urban land, supply of real estate market conditions, competitors and competitive real estate conditions and other relevant circumstances of the project itself. In this module, covering the major real estate survey content. In addition, the large amount of historical data for forecasting the real estate market to provide convenient conditions. 
(B) Economic evaluation 
Economic evaluation is a real estate investment decision-making in the essential content. Construction project economic evaluation is an integral part of project feasibility study and an important part of the project an important means of scientific decision-making. The purpose is to calculate the economic evaluation of the project benefits and costs, through a multi-program comparison, the proposed project's financial viability and economic feasibility analysis and discussion, to make comprehensive economic evaluation of the project provide the basis of scientific decision-making. 
Economic evaluation, including project management, parameter setting, program calculation, support statements, consolidated financial statements and the basic indicators of other aspects. Including the establishment of project management including project, select, and delete operations on the project management library. Parameter settings on the property Investment in the assignment of the parameters, the program cash flow calculation method and the non-cash flow method of calculation of investment projects. auxiliary statements and basic statements used to generate various reports. Consolidated Financial Statements Cash Flow generated summary of the consolidated financial indicators Consolidated cash flow statement and non-financial indicators summary, in this test module also generates histograms, pie charts such as inspection and suture removal plans, more directly reflect the financial position. 
(C) risk analysis 
Although real estate investments with high returns, but there are also high risk, its risk analysis is necessary. Properly evaluate the risk of real estate investors the right to guide the development of decision-making, reduce blindness and errors in decision-making. For these risks, people do not give a clear answer, in the end there is no such risk, it is the existence of fuzziness. This can be introduced into the fuzzy risk analysis, the use of fuzzy comprehensive evaluation can be quantitative and combination of qualitative indicators,〗 〖JP +1 can not target different dimensions or dimension due to the same order of magnitude of different effects and, for the problem is rather complicated, the information is not very comprehensive real estate investment is very adaptable. In addition , real estate investment levels are more risk factors, can be used to analyze multi-level fuzzy model. 
(Iv) Feasibility report generation 
Function of the feasibility report generation module is based on real estate investments to generate a feasibility report template, which eliminates the need for preparation of feasibility reports to the user. Users of the actual situation according to their feasibility report template to add some items data, even data generated under the project bar chart, pie and other charts. Now people are generally used word processing software for Microsoft Word, so the system generated in the feasibility report for the Word document form, so user-friendly editor on the feasibility report. 
The four modules in the system closely, covering the real estate investment that should be considered in all aspects. Users (decision makers) through the operation of these modules can be a powerful decision support, thereby enhancing the decision-making. 

IV Summary 

Decision Support System will be applied to the real estate investment decision-making, is a major change in the real estate investment. Real estate investment decision support system can not only improve decision-making efficiency, but also greatly improves the accuracy of decision-making. At present, China in real estate investment decision-making support system is not much need to be further developed. the existing real estate investment decision support systems are generally not very powerful features, it can not really play an effective role in supporting decision-making. This system is referred to as for real estate investment decision support system for an initial exploration, of which there are inevitably some shortcomings, which requires the future through further research, make the system continue to be improved.


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