CN114611916A - Method, system and storage medium for evaluating comprehensive value of real estate - Google Patents

Abstract

The present application provides a method, system and storage medium for evaluating the comprehensive value of real estate, including the steps of: acquiring information on the real estate to be evaluated; selecting a preset number of influencing factors, and grading them according to the types and influence levels of the influencing factors; Results The single-factor weight and multi-factor interactive weight of the influencing factors were calculated; the comprehensive value of the real estate was evaluated according to the real estate information, single-factor weight and multi-factor interactive weight. It is easier to carry out correlation analysis under the state of multi-factor interaction, which is convenient for comprehensive evaluation of single and multi-factor influences. The integrated multi-factor comprehensive evaluation module can quantitatively feedback the correlation of interaction effects of multiple factors, which greatly improves the weight of influencing factors. accuracy. According to the timing settings, the horizontal and vertical value comparison can be prompted in real time, and the model can automatically conduct real-time or timed real estate value evaluation according to the settings.

Description

Real estate comprehensive value assessment method, system and storage medium

technical field

The invention relates to the technical field of real estate value assessment, in particular to a method, system and storage medium for comprehensive value assessment of real estate.

Background technique

Aiming at the problems of numerous houses in the city, frequent price fluctuations, huge demand for real estate value screening, evaluation, and benchmarking, and value judgments are highly subjective and prone to bias, this paper deeply analyzes the existing real estate data screening models and real estate value evaluation in patent documents. method. Most of the mainstream real estate agency companies and websites in the market give qualitative recommendations based on passively input screening conditions, and lack intuitive quantitative analysis and active reminders of value fluctuations.

SUMMARY OF THE INVENTION

The purpose of the present invention is to overcome the above-mentioned technical deficiencies, and to provide a method for evaluating the comprehensive value of real estate, which can intuitively perform quantitative analysis and evaluation on the value of real estate and proactively remind the value fluctuation.

In order to achieve the above-mentioned technical purpose, in the first aspect, the technical solution of the present invention provides a method for evaluating the comprehensive value of real estate, comprising the following steps:

Obtain information on properties to be assessed;

Selecting a preset number of influencing factors, and grading them according to the types and influence levels of the influencing factors;

Calculate the single-factor weight and multi-factor interaction weight of the influencing factor according to the result of the classification;

The comprehensive value of the property is evaluated according to the property information, the single factor weight and the multi-factor interactive weight.

Compared with the prior art, the beneficial effects of the present invention include:

The method for evaluating the comprehensive value of real estate provided by the present invention is easier to carry out correlation analysis under the state of multi-factor interaction, and is convenient for comprehensive evaluation of single and multi-factor effects. The implanted multi-factor comprehensive evaluation module can quantitatively feedback the interactive effects of multiple factors Correlation, which greatly improves the accuracy of influencing factor weights. According to the timing settings, the horizontal and vertical value comparison can be prompted in real time, and the model can automatically conduct real-time or timed property value evaluation according to the settings, and carry out horizontal data comparison between different properties and vertical data comparison of specific properties; based on historical and horizontal data, Quantitatively predict the changes in the comprehensive value of real estate after school districts, commerce, public transportation and other factors change in the future, and can intuitively conduct quantitative analysis and evaluation of real estate values and proactively remind value fluctuations.

According to some embodiments of the present invention, the acquisition of the property information to be assessed includes the steps of:

The real estate information is collected by using a python network data traversal collection algorithm, and data reduction processing is performed on the real estate information to remove redundant data.

According to some embodiments of the present invention, the influencing factors include: school district factors, medical factors, traffic factors, business factors, greening factors, floor area ratio factors, and room type factors;

The real estate information includes: house location information, historical transaction unit price, house area, house type and house age information.

According to some embodiments of the present invention, the method for evaluating the comprehensive value of real estate further comprises the steps of:

The comprehensive value of the real estate is periodically evaluated, and a reminder message is issued when the comprehensive value of the real estate exceeds a preset range.

According to some embodiments of the present invention, calculating and obtaining the single-factor weight and multi-factor interaction weight of the influencing factor according to the result of the classification includes the steps of:

Calculate the sum of squares and degrees of freedom of the influencing factors, and calculate the sum of squares of errors and the degrees of freedom of errors;

The mean square of the influencing factor is calculated according to the square sum of the influencing factors and the degrees of freedom, and the error mean square is calculated according to the error sum of squares and the error degrees of freedom;

The single factor weight of the influencing factor is calculated according to the mean square of the influencing factor and the error mean square.

According to some embodiments of the present invention, calculating and obtaining the single-factor weight and multi-factor interaction weight of the influencing factor according to the result of the classification includes the steps of:

Calculate the interactive sum of squares of a plurality of the influencing factors;

The interaction mean square is calculated according to the interaction sum of squares and the degrees of freedom of the influencing factors;

The multi-factor interaction weights of a plurality of the influencing factors are calculated according to the interaction mean square and the error mean square.

According to some embodiments of the present invention, after evaluating the comprehensive value of the property, the steps include:

Use the fuzzy comprehensive evaluation method to verify the evaluation results.

According to some embodiments of the present invention, the use of the fuzzy comprehensive evaluation method to verify the evaluation results includes the steps:

Qualitative indicators are quantified and assigned by semantic difference membership assignment method;

Use the membership assignment method in fuzzy mathematics to perform dimensionless processing on the qualitative index;

A fuzzy matrix is established, and the influencing factors are comprehensively evaluated layer by layer in sequence.

In a second aspect, the present invention provides a real estate comprehensive value evaluation system, comprising: a memory, a processor, and a computer program stored on the memory and executable on the processor, the processor executing the computer During the program, the method for evaluating the comprehensive value of real estate as described in any one of the first aspects is implemented.

In a third aspect, the present invention provides a computer-readable storage medium, where computer-executable instructions are stored in the computer-readable storage medium, and the computer-executable instructions are used to cause a computer to execute any one of the first aspects. The comprehensive value assessment method of real estate mentioned above.

Additional aspects and advantages of the present invention will be set forth, in part, from the following description, and in part will be apparent from the following description, or may be learned by practice of the invention.

Description of drawings

The above and/or additional aspects and advantages of the present invention will become apparent and readily understood from the description of the embodiments taken in conjunction with the accompanying drawings, the abstract of which is intended to be in full conformity with one of the accompanying drawings in the specification:

Fig. 1 is a flow chart of a method for evaluating the comprehensive value of real estate provided by an embodiment of the present invention;

Fig. 2 is a flow chart of a method for evaluating the comprehensive value of real estate provided by another embodiment of the present invention;

FIG. 3 is a flowchart of a method for evaluating a comprehensive property value provided by another embodiment of the present invention.

Detailed ways

In order to make the objectives, technical solutions and advantages of the present invention clearer, the present invention will be further described in detail below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are only used to explain the present invention, but not to limit the present invention.

It should be noted that although the functional modules are divided in the schematic diagram of the system and the logical sequence is shown in the flow chart, in some cases, the modules may be divided differently from the system or executed in the order in the flow chart. steps shown or described. The terms "first", "second" and the like in the description and claims and the above drawings are used to distinguish similar objects and are not necessarily used to describe a specific order or sequence.

The invention provides a method for evaluating the comprehensive value of real estate, which is easier to perform correlation analysis under the state of multi-factor interaction, facilitates comprehensive evaluation of single and multi-factor influences, and the implanted multi-factor comprehensive evaluation module can quantitatively feedback the interaction of multiple factors The correlation of influence greatly improves the accuracy of the weight of influence factors.

The embodiments of the present invention will be further described below with reference to the accompanying drawings.

Referring to FIG. 1 , FIG. 1 is a flowchart of a method for evaluating the comprehensive value of real estate provided by an embodiment of the present invention; the method for evaluating the comprehensive value of real estate includes, but is not limited to, steps S110 to S140 .

Step S110, obtain the real estate information to be assessed; Step S120, select a preset number of influencing factors, and rank according to the type and influence level of the influencing factors; Step S130, calculate and obtain the single-factor weight and multiplicity of the influencing factors according to the grading result. Factor interaction weight; Step S140, evaluate the comprehensive value of the property according to the property information, single factor weight and multi-factor interaction weight.

In one embodiment, the method for evaluating the comprehensive value of real estate includes the steps of: acquiring information on the real estate to be evaluated; selecting a preset number of influencing factors, and grading them according to the type and influence level of the influencing factors; Single-factor weight and multi-factor interactive weight; evaluate the comprehensive value of real estate according to real estate information, single-factor weight and multi-factor interactive weight.

The comprehensive value assessment method of real estate includes steps:

Step S1: Collect n samples from the target area from credible channels, and summarize A, B, C, D...a variety of possible influencing factors for each sample, and classify each influencing factor. There are three levels of no school district, general school district, and high-quality school district; for factor B, subway travel can be divided into three levels: no subway, single subway, and double subway; The number of levels of influencing factors does not have to be the same. Due to the convenience of acquisition of real estate information, the authenticity is high, and the analysis accuracy is improved by using mathematical modeling methods for processing.

The 3-level division is sufficient for classification of most influencing factors, and can ensure the accuracy of prediction and evaluation. However, if more levels are required, the model can be expanded to m levels.

Step S2: After the sample data is sorted, use the m ^k factor design method of N samples to obtain the variance analysis table, and the variance analysis table is as follows:

Table 1 ANOVA table for ^mk factorial design

Step S3: Select the quantile α, which is generally 0.01 or 0.05, and find the data F _K of F (factor degrees of freedom, error degrees of freedom) in the F distribution table of each influencing factor (interactive influencing factor). For example, in this case, α=0.01, the degree of freedom of the error is m ^k (n-1), and the degree of freedom of the single factor C is m-1, then you should find F _0.01 (m-1, m ^k (n-1)) ; Under the three-factor ABD interaction, the degree of freedom is (m-1) ³ , then F _0.01 ((m-1) ³ , m ^k (n-1)) should be found. Compare the F value of each factor in the fifth column of Table 1 with the results of the corresponding F distribution table. For single factor analysis, if the single factor F value is larger than the value in the factor table, it means that the factor has a significant impact on real estate prices, and vice versa For multi-factor interaction, if the F value is greater than the corresponding value in the factor table, it means that the interaction has a significant impact on real estate prices, otherwise it means that there is no significant impact.

Step S4: According to the data analysis method in claim S3, the weight of the influence of each factor on the real estate price in the current sample space can be quantified. The larger the F value, the higher the weight of the factor in the price, and vice versa.

The fuzzy comprehensive evaluation method verifies the evaluation results, and the steps are as follows:

Step B1: Divide the F value into the assignment of the index weight level, assuming that all F values can be divided into 9 levels, and the division of the 9 levels is shown in the following table:

Table 2 The judgment matrix follows the assignment rules of the following index weight levels

Weighting criteria extremely important Very important important slightly important equally important slightly unimportant unimportant very unimportant extremely unimportant Fij 9 7 5 3 1 1/3 1/5 1/7 1/9 Fji 1/9 1/7 1/5 1/3 1 3 5 7 9

Note: 8, 6, 4, 2, 1/2, 1/4, 1/6, 1/8 can be taken as the median value of adjacent evaluations

Step B2: Take the case of selecting two-factor interaction as an example, divide the factors into three levels as shown in the following table:

Table 3 Target curriculum effectiveness evaluation index system

。各二级指标为两因子交互层次权重W₂，则有W_2A={ W_AB,W_AC, W_AD}, W_2B={ W_BA, W_BC, W_BD}, W_2C={ W_CA, W_CB, W_CD}, W_2D={ W_DA, W_DB, W_DC}。As shown in the above table, first establish a weight subset, and set the weight of the first-level evaluation index as the independent factor hierarchical weight W ₁ , then W ₁ ={W _A ,W _B ,W _C ,W _D }, where

. Each secondary indicator is a two-factor interactive hierarchical weight W ₂ , then W _2A ={ W _AB ,W _AC , W _AD }, W _2B ={ W _BA , W _BC , W _BD }, W _2C ={ W _CA , W _CB , W _CD }, W _2D ={ W _DA , W _DB , W _DC }.

Step B3: Start to determine the weights according to the above data, the steps are as follows:

；Calculate the product of each row element of the judgment matrix F _ij separately:

;

；Calculate its square root and normalize it:

;

，然后求出标准化的特征向量W（W1，W2，W3，…,Wn）,即FW=

W ，这时W的分量（W1，W2，W3，…,Wn）, 即相应n个因素的权重也就是相对权重。Consistency check after: first calculate the maximum eigenroot of the matrix F _ij

, and then find the standardized feature vector W (W1, W2, W3, ..., Wn), that is, FW=

W , at this time the components of W (W1, W2, W3, ..., Wn), that is, the weight of the corresponding n factors, that is, the relative weight.

，需用到随机一致性比值，即Judgment standard: CI=(λ _max -n)/n-1, when testing, where

, the random consistency ratio is required, that is

n 1 2 3 4 5 RI 0 0 0.58 0.90 1.12

CR=CI/RI, where when CR≤0.1, the judgment matrix is considered to have satisfactory consistency.

Step B4: Use the fuzzy comprehensive evaluation method to evaluate:

B4.1: First, use the semantic difference membership assignment method to quantify and assign qualitative indicators into 4 grades (very effective, effective, generally effective, not very effective), and assign corresponding assignments according to the inclination of the content. The corresponding index scores can be 90, 80, 70, 50.

B4.2: Use the membership assignment method in fuzzy mathematics to carry out dimensionless processing for each index. In the formula, the maximum value, minimum value and average value in the scoring system applicable to the quantitative index are used as the standard, and dimensionless processing is performed to convert the original value of the quantitative index into the average value of the index.

V的一个模糊映射，如下所示：B4.3: Establish a fuzzy matrix. Let R be the fuzzy matrix formed by the fuzzy mapping, which represents the comprehensive evaluation of the level to which the weight belongs. Make a single-factor judgment on each factor and give U

A fuzzy map of V as follows:

For each U, the relation R can be represented by a fuzzy matrix:

构成模糊矩阵R。Among them, r _jk represents the membership degree of the criterion U _ij to the K-th grade comment V _k , and the value of r _jk can be determined by experience. For the criterion U _ij , there are s1 V _m - _th grade comments. =1,2…,n) make a comprehensive judgment, which is judged by a single factor

Constitute the fuzzy matrix R.

时，可以进行归一化处理，令when

, can be normalized, so that

，得到

。评判结果有模糊综合评价得

，

表示因素集U对于评语集V的隶属度。根绝最大隶属度原则，目标F评估有效性的评价水平即可确定。

,get

. The evaluation results have fuzzy comprehensive evaluation

,

Represents the membership degree of factor set U to comment set V. According to the principle of maximum membership degree, the evaluation level of target F evaluation effectiveness can be determined.

B4.4: Multi-level fuzzy comprehensive evaluation starts from the bottom layer, and comprehensively evaluates each factor layer by layer. The final comprehensive evaluation result is:

Referring to FIG. 2 , FIG. 2 is a flowchart of a method for evaluating a comprehensive value of a house provided by another embodiment of the present invention; the method for evaluating a comprehensive value of a house includes, but is not limited to, step S210 .

Step S210, collecting real estate information by using a python network data traversal collection algorithm, and performing data reduction processing on the real estate information to remove redundant data.

In one embodiment, the method for evaluating the comprehensive value of real estate includes the steps of: acquiring information on the real estate to be evaluated; selecting a preset number of influencing factors, and grading them according to the types and influence levels of the influencing factors; Single-factor weight and multi-factor interactive weight; evaluate the comprehensive value of real estate according to real estate information, single-factor weight and multi-factor interactive weight. Acquiring the property information to be evaluated includes the steps of: collecting property information using a python network data traversal collection algorithm, and performing data reduction processing on the property information to remove redundant data.

In one embodiment, the method for evaluating the comprehensive value of real estate includes the steps of: acquiring information on the real estate to be evaluated; selecting a preset number of influencing factors, and grading them according to the types and influence levels of the influencing factors; Single-factor weight and multi-factor interactive weight; evaluate the comprehensive value of real estate according to real estate information, single-factor weight and multi-factor interactive weight. The influencing factors include: school district factors, medical factors, traffic factors, commercial factors, greening factors, plot ratio factors and house type factors; real estate information includes: house location information, historical transaction unit price, house area, house type and house age information.

Referring to FIG. 3 , FIG. 3 is a flowchart of a method for evaluating a comprehensive value of a house provided by another embodiment of the present invention; the method for evaluating a comprehensive value of a house includes, but is not limited to, step S310 .

In step S310, the comprehensive value of the real estate is periodically evaluated, and when the comprehensive value of the real estate exceeds a preset range, a reminder message is issued.

In one embodiment, the method for evaluating the comprehensive value of real estate includes the steps of: acquiring information on the real estate to be evaluated; selecting a preset number of influencing factors, and grading them according to the types and influence levels of the influencing factors; Single-factor weight and multi-factor interactive weight; evaluate the comprehensive value of real estate according to real estate information, single-factor weight and multi-factor interactive weight. Periodically evaluate the comprehensive value of the real estate. When the comprehensive value of the real estate exceeds the preset range, a reminder message is sent, which can be every week, every month, every quarter or every year. It does not constitute a restriction.

In one embodiment, the method for evaluating the comprehensive value of real estate includes the steps of: acquiring information on the real estate to be evaluated; selecting a preset number of influencing factors, and grading them according to the types and influence levels of the influencing factors; Single-factor weight and multi-factor interactive weight; evaluate the comprehensive value of real estate according to real estate information, single-factor weight and multi-factor interactive weight. Calculate the single-factor weight and multi-factor interaction weight of the influencing factors according to the classification results, including steps: calculating the sum of squares and degrees of freedom of the influencing factors, and calculating the sum of squares of errors and degrees of freedom of errors; according to the sum of squares and freedom of the influencing factors Calculate the mean square of the influencing factors, calculate the mean square of the error according to the error sum of squares and the error degree of freedom; calculate the single factor weight of the influencing factors according to the mean square and error mean square of the influencing factors.

In one embodiment, the method for evaluating the comprehensive value of real estate includes the steps of: acquiring information on the real estate to be evaluated; selecting a preset number of influencing factors, and grading them according to the types and influence levels of the influencing factors; Single-factor weight and multi-factor interactive weight; evaluate the comprehensive value of real estate according to real estate information, single-factor weight and multi-factor interactive weight.

Calculate the single-factor weight and multi-factor interaction weight of the influencing factors according to the classification results, including steps: calculating the sum of squares and degrees of freedom of the influencing factors, and calculating the sum of squares of errors and degrees of freedom of errors; according to the sum of squares and freedom of the influencing factors Calculate the mean square of the influencing factors, calculate the mean square of the error according to the error sum of squares and the error degree of freedom; calculate the single factor weight of the influencing factors according to the mean square and error mean square of the influencing factors. Calculate the interaction sum of squares of multiple influencing factors; calculate the interaction mean square according to the interaction sum of squares and the degrees of freedom of the influencing factors; calculate the multi-factor interaction weights of multiple influencing factors according to the interaction mean square and the error mean square.

In one embodiment, the method for evaluating the comprehensive value of real estate includes the steps of: acquiring information on the real estate to be evaluated; selecting a preset number of influencing factors, and grading them according to the types and influence levels of the influencing factors; Single-factor weight and multi-factor interactive weight; evaluate the comprehensive value of real estate according to real estate information, single-factor weight and multi-factor interactive weight.

Use the fuzzy comprehensive evaluation method to verify the evaluation results: use the semantic difference membership assignment method to quantify and assign values to the qualitative indicators; use the membership assignment method in fuzzy mathematics to perform dimensionless processing on the qualitative indicators; establish a fuzzy matrix, and analyze the influencing factors in sequence. comprehensive evaluation.

The present invention also provides a real estate comprehensive value evaluation system, including: a memory, a processor and a computer program stored on the memory and running on the processor, and the processor implements the above-mentioned real estate comprehensive value evaluation method when the computer program is executed. .

The processor and memory may be connected by a bus or otherwise.

As a non-transitory computer-readable storage medium, the memory can be used to store non-transitory software programs and non-transitory computer-executable programs. Additionally, the memory may include high-speed random access memory, and may also include non-transitory memory, such as at least one magnetic disk storage device, flash memory device, or other non-transitory solid state storage device. In some embodiments, the memory may optionally include memory located remotely from the processor, which may be connected to the processor via a network. Examples of such networks include, but are not limited to, the Internet, an intranet, a local area network, a mobile communication network, and combinations thereof.

It should be noted that the real estate comprehensive value evaluation system in this embodiment may include a business processing module, an edge database, a server version information register, and a data synchronization module. The comprehensive value evaluation method of real estate by the value evaluation system.

The apparatus embodiments described above are only illustrative, and the units described as separate components may or may not be physically separated, that is, may be located in one place, or may be distributed to multiple network units. Some or all of the modules may be selected according to actual needs to achieve the purpose of the solution in this embodiment.

In addition, an embodiment of the present invention also provides a computer-readable storage medium storing computer-executable instructions, the computer-executable instructions being executed by a processor or controller, for example, by the above-mentioned Executed by a processor in the embodiment of the terminal, the above-mentioned processor can be made to execute the method for evaluating the comprehensive value of real estate in the above-mentioned embodiment.

Those of ordinary skill in the art can understand that all or some of the steps and systems in the methods disclosed above can be implemented as software, firmware, hardware, and appropriate combinations thereof. Some or all physical components may be implemented as software executed by a processor, such as a central processing unit, digital signal processor or microprocessor, or as hardware, or as an integrated circuit, such as an application specific integrated circuit . Such software may be distributed on computer-readable media, which may include computer storage media (or non-transitory media) and communication media (or transitory media). As is known to those of ordinary skill in the art, the term computer storage media includes both volatile and nonvolatile implemented in any method or technology for storage of information such as computer readable instructions, data structures, program modules or other data flexible, removable and non-removable media. Computer storage media include, but are not limited to, RAM, ROM, EEPROM, flash memory or other memory technology, CD-ROM, digital versatile disk (DVD) or other optical disk storage, magnetic cartridges, magnetic tape, magnetic disk storage or other magnetic storage devices, or may Any other medium used to store desired information and which can be accessed by a computer. In addition, communication media typically embodies computer readable instructions, data structures, program modules, or other data in a modulated data signal such as a carrier wave or other transport mechanism, and can include any information delivery media, as is well known to those of ordinary skill in the art .

The preferred implementation of the present invention has been specifically described above, but the present invention is not limited to the above-mentioned embodiments. Those skilled in the art can also make various equivalent deformations or replacements on the premise of not violating the spirit of the present invention. Equivalent modifications or substitutions are included within the scope defined by the claims of the present invention.

The specific embodiments of the present invention described above do not limit the protection scope of the present invention. Any other corresponding changes and modifications made according to the technical concept of the present invention shall be included in the protection scope of the claims of the present invention.

Claims (8)

1. a real estate comprehensive value assessment method, is characterized in that, comprises the following steps: Obtain information on properties to be assessed; Selecting a preset number of influencing factors, and grading according to the type and influence level of the influencing factors, wherein the influencing factors include: school district factors, traffic factors, and business factors; Calculate the multi-factor interaction weight of the influencing factor according to the result of the classification; Evaluate the comprehensive value of the real estate according to the real estate information and the multi-factor interactive weight; The classification is based on the type and impact level of the influencing factors, specifically: The school district factors are divided into no school districts, general school districts, and high-quality school districts; the traffic factors are divided into no subway, single subway, and dual subways; business factors are divided into large-scale commercial districts and no large-scale commercial districts. ; The multi-factor interaction weights of the influencing factors are calculated according to the results of the classification, including: Calculate the sum of squares and degrees of freedom of the influencing factors, and calculate the sum of squares of errors and the degrees of freedom of errors; The mean square of the influencing factor is calculated according to the square sum of the influencing factors and the degrees of freedom, and the error mean square is calculated according to the error sum of squares and the error degrees of freedom; The single factor weight of the influencing factor is calculated according to the mean square of the influencing factor and the error mean square; Calculate the interactive sum of squares of a plurality of the influencing factors; The interaction mean square is calculated according to the interaction sum of squares and the degrees of freedom of the influencing factors; The multi-factor interaction weights of a plurality of the influencing factors are calculated according to the interaction mean square and the error mean square. 2. a kind of real estate comprehensive value assessment method according to claim 1, is characterized in that, described obtaining the real estate information to be assessed, comprises the steps: The real estate information is collected by using a python network data traversal collection algorithm, and data reduction processing is performed on the real estate information to remove redundant data. 3. The method for evaluating the comprehensive value of real estate according to claim 1, wherein the influencing factors further comprise: medical factors, greening factors, plot ratio factors and room type factors; The real estate information includes: house location information, historical transaction unit price, house area, house type and house age information. 4. a kind of real estate comprehensive value assessment method according to claim 1, is characterized in that, also comprises the step: The comprehensive value of the real estate is evaluated periodically, and a reminder message is issued when the comprehensive value of the real estate exceeds a preset range. 5. a kind of real estate comprehensive value assessment method according to claim 1, is characterized in that, after described to the comprehensive value of described real estate, comprises the steps: Use the fuzzy comprehensive evaluation method to verify the evaluation results. 6. a kind of real estate comprehensive value evaluation method according to claim 5, is characterized in that, described using fuzzy comprehensive evaluation method to verify evaluation result, comprises the steps: Qualitative indicators are quantified and assigned by semantic difference membership assignment method; Use the membership assignment method in fuzzy mathematics to perform dimensionless processing on the qualitative index; A fuzzy matrix is established, and the influencing factors are comprehensively evaluated layer by layer in sequence. 7. A system for evaluating the comprehensive value of real estate, comprising: a memory, a processor and a computer program stored on the memory and running on the processor, when the processor executes the computer program The method for evaluating the comprehensive value of real estate according to any one of claims 1 to 6 is realized. 8. A computer-readable storage medium, characterized in that, the computer-readable storage medium stores computer-executable instructions, the computer-executable instructions being used to cause a computer to execute any one of claims 1 to 6. The comprehensive valuation method of real estate mentioned in the above.

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