WO2020000768A1 - Real estate appraisal method and apparatus, computer device and computer readable storage medium - Google Patents

Abstract

Provided in an embodiment of the present application are a real estate appraisal method and apparatus, a computer device and a computer readable storage medium. In the embodiment of the present application, a comprehensive appraisal price is obtained by integrating each pre-appraisal price, different pre-appraisal prices represent appraisal price results of real estate under different consideration factors, and appraising the real estate by integrating the different pre-appraisal prices represents that the impact of various factors on real estate appraisal are comprehensively considered. When there are different appraisal results and the difference between the appraisal results is large, a single appraisal result is not able to reflect the actual value of the real estate, and the comprehensive appraisal price may more accurately reflect the value of the real estate.

Description

Real estate appraisal method, device, computer equipment and computer-readable storage medium This application requires that the Chinese Patent Office be filed on June 25, 2018 with application number 201810660378.2, and the application name is "Real Estate Appraisal Method, Apparatus, Computer Equipment and Storage Media" The priority of the Chinese patent application is hereby incorporated by reference in its entirety. Technical field

The present application relates to the field of information processing technology, and in particular, to a method, an apparatus, a computer device, and a computer-readable storage medium for real estate valuation.

Background technique

There are many types of specific methods for evaluating real estate prices, but the evaluation agencies that evaluate on the spot basically evaluate the real estate according to an evaluation method. The sampling or calculation methods in various evaluation methods are different, which leads to different evaluation methods. The appraisal results have large deviations, and even some appraisal results are far from the actual value of the property. The difference between different appraisal results makes it impossible to evaluate the real value of the property through one of the appraisal results, which leads to the uncertainty of the appraisal result.

Summary of the invention

The embodiment of the present application provides a method, an apparatus, a computer device, and a computer-readable storage medium for real estate valuation, so as to avoid a situation in which a single real estate valuation result cannot reflect the real value of the real estate under different real estate valuation results.

In a first aspect, an embodiment of the present application provides a method for real estate valuation, which includes: obtaining an evaluation result of a plurality of real estate evaluation strategies to evaluate a property to be evaluated, the evaluation result including an identification of each of the real estate evaluation strategies and Its corresponding pre-evaluation price; arranging a plurality of the pre-evaluation prices in a first preset order according to a plurality of the identifiers; using the plurality of pre-evaluation prices to calculate a difference factor coefficient; obtaining a weight according to the difference factor coefficient A value group, the weight value group includes a plurality of weight values arranged in a second preset order, and the plurality of weight values arranged in the second preset order sequentially corresponds to a plurality of values arranged in the first preset order A pre-evaluation price; and calculating a comprehensive evaluation price of the property to be evaluated according to a plurality of the pre-evaluation prices and a weight value corresponding to each pre-evaluation price.

In a second aspect, an embodiment of the present application further provides a real estate valuation device, where the real estate valuation device includes a unit for implementing the real estate valuation method described in the first aspect.

In a third aspect, an embodiment of the present application further provides a computer device including a memory and a processor connected to the memory; the memory is used to store a computer program that implements a method for real estate valuation; and the processor is used to run an A computer program stored in the memory to perform the method as described in the first aspect above.

In a fourth aspect, an embodiment of the present application provides a computer-readable storage medium, where the storage medium stores one or more computer programs, and the one or more computer programs can be executed by one or more processors. To implement the method described in the first aspect above.

The method, device, computer equipment and storage medium for real estate valuation provided in the embodiments of the present application. The embodiment of the present application obtains different pre-evaluated prices for real estate evaluation, determines the weight value of each pre-evaluated price according to the difference factor coefficient of the obtained pre-evaluated price, and takes each pre-evaluated price according to the corresponding proportion according to the weight value The value of each pre-evaluation price is integrated to obtain the comprehensive evaluation price. Different pre-evaluation prices represent the valuation of the property under different considerations. Valuation of the property by combining different pre-evaluation prices represents the comprehensive consideration of the impact of various factors on the valuation of the property. When there are different real estate appraisal results, the real estate appraisal results are too different, and the single real estate appraisal result cannot reflect the actual value of the real estate, the comprehensive appraisal price obtained by combining various appraisal results can more accurately reflect the real estate value.

BRIEF DESCRIPTION OF THE DRAWINGS

FIG. 1 is a schematic flowchart of a real estate valuation method according to an embodiment of the present application; FIG.

FIG. 2 is a schematic diagram of a sub-process of a real estate valuation method according to an embodiment of the present application; FIG.

FIG. 3 is a schematic diagram of a sub-process of a real estate valuation method according to another embodiment of the present application; FIG.

FIG. 4 is a schematic diagram of a sub-process of a real estate valuation method according to another embodiment of the present application; FIG.

FIG. 5 is a schematic block diagram of a real estate valuation device according to an embodiment of the present application; FIG.

FIG. 6 is a schematic block diagram of a subunit of a real estate valuation device according to an embodiment of the present application; FIG.

7 is a schematic block diagram of a subunit of a real estate appraisal device according to another embodiment of the present application;

FIG. 8 is a schematic block diagram of a subunit of a real estate valuation device according to another embodiment of the present application; FIG.

FIG. 9 is a schematic block diagram of a structure of a computer device according to an embodiment of the present application.

detailed description

In the following, the technical solutions in the embodiments of the present application will be clearly and completely described with reference to the drawings in the embodiments of the present application. Obviously, the described embodiments are part of the embodiments of the present application, but not all of the embodiments. Based on the embodiments in the present application, all other embodiments obtained by a person of ordinary skill in the art without creative efforts shall fall within the protection scope of the present application.

It should be understood that when used in this specification and the appended claims, the terms "including" and "comprising" indicate the presence of described features, integers, steps, operations, elements and / or components, but do not exclude one or The presence or addition of a number of other features, wholes, steps, operations, elements, components, and / or sets thereof.

It should also be understood that the term "and / or" used in the specification of the present application and the appended claims refers to and includes any combination of one or more of the items listed in association and all possible combinations.

It should also be understood that, although the terms first, second, etc. may be used herein to describe various elements, these elements should not be limited to these terms, these terms are only used to distinguish these elements from each other.

FIG. 1 is a schematic flowchart of a real estate valuation method according to an embodiment of the present application. The real estate valuation method can be applied to a real estate valuation platform. The method includes steps S101 to S105.

S101. Obtain an evaluation result of evaluating a plurality of real estate evaluation strategies to be evaluated. The evaluation result includes an identifier of each of the real estate evaluation strategies and a corresponding pre-evaluation price.

At present, there are many evaluation agencies for evaluating real estate in the market. Different evaluation agencies use different real estate evaluation strategies, such as market comparison method, cost method, route price method, etc. to evaluate real estate, and can be obtained according to different real estate evaluation strategies. As for the valuation of real estate, different real estate valuation strategies will result in different valuations.

For the same block, the value of land or property is relatively stable. The route price method refers to the value of the object to be evaluated according to the street frontage status (frontage width and frontage depth) of the land or property according to the average price of the land or property in the neighborhood. The street-front width refers to the length of the street-facing side of the building, and the street-front depth refers to the length perpendicular to the street-facing side, which is simply a horizontal and vertical length. The evaluation of domestic production of a property by the route price method is as follows: First, the block and street condition of the property to be evaluated is preferred, and the average price of the transaction property in the block is obtained, and then estimated based on the average price of the transaction property and the street condition of the property to be evaluated. The price of the house to be evaluated.

Cost method refers to a method of calculating the value of real estate based on the cost of developing real estate and the preset gains. For example, according to the total development cost of the land on which the property to be evaluated is located (the total cost includes the cost of acquiring the land / land and the cost of building the house on the land, construction cost ÷ building area = building unit price of building unit building area ) And the real estate company's preset rate of return to estimate the capital gains of the total development cost, and then calculate the price per unit of building area based on the capital gains and total development costs (the sum of capital gains and total development costs divided by the total construction area of all houses) (Equivalent to the price of the unit building area), and finally calculate and estimate based on the price of the unit building area and the total building area of the property to be evaluated.

The market comparison method refers to the selection of real estate cases in the market that have the same use and other conditions as the property to be evaluated (translated or evaluated, with normal quotations). Comparison of various conditions, index quantification of each condition of the property to be evaluated, and the value of the room to be evaluated is obtained through accurate index comparison adjustment. For example, first obtain the property information of the property to be evaluated. (The property information generally includes the address of the house, the purpose of the house, the environmental information, the year of construction, and the building attributes. The environmental information generally refers to the surrounding convenient transportation status, natural environment status, and infrastructure. Configuration status), and then use the house address as the center to obtain the average price, reference address, and construction year of the house with the same purpose within a certain range, and then modify the average price based on the building year and environmental information of the house with the same purpose, or Adjusted to get the valuation of the property to be evaluated. The market comparison method has strong practical significance and reference significance. It is often used when the market is more mature, the transaction is transparent, and the comparative case is easy to find.

The market comparison method, cost method, and route price method mentioned above are all existing mature real estate evaluation strategies. They are also several methods used by current evaluation agencies. In addition to the above methods, there are many other real estates. The evaluation strategy can be used to evaluate the property to be evaluated, and the examples in this application are not introduced one by one.

The valuation (pre-evaluation price) obtained by using different real estate evaluation strategies is saved to the database through different interfaces. When these pre-evaluation prices are needed in the future, they are obtained from the database through the corresponding interface. Each interface has a unique identifier marking the interface. Since different interfaces are used to transmit the pre-evaluation price of different real estate evaluation strategies, the interface identifier can be used as the identifier of the corresponding real estate evaluation strategy. The pre-evaluation price corresponding to the real-estate evaluation strategy forms an evaluation result, and the subsequent unique identification of the interface is also the identity of the real-estate evaluation strategy, and the pre-evaluation price corresponding to the real-estate evaluation strategy can be obtained.

S102. Arrange a plurality of the pre-evaluated prices according to a plurality of the identifiers in a first preset order.

After obtaining each evaluation result, the pre-evaluation prices are arranged in the first preset order according to the identification in the evaluation result. The first preset order refers to a preset property evaluation strategy (such as market comparison method). The obtained pre-evaluated prices are ranked in the first order, and the order of the pre-evaluated prices obtained by other real estate evaluation strategies (such as cost method and route price method) can be arranged arbitrarily.

The plurality of identifiers include a first identifier, and the first identifier is used to identify a pre-evaluation price corresponding to a real estate evaluation strategy preset in the multiple real estate evaluation strategies.

As shown in FIG. 2, step S102 includes the following sub-steps:

S1021. Determine the pre-evaluation price corresponding to the first identifier as the first pre-evaluation price.

S1022, arrange the first pre-evaluated prices in a first order.

S1023. Arrange other pre-evaluated prices in any order.

In the embodiment of the present application, a first identifier is preset to set which pre-evaluated price is arranged in the first order, that is, the pre-evaluated price in the first order is set in advance. The pre-evaluation price corresponding to the first identifier is used as the first pre-evaluation price, the first pre-evaluation price is ranked first, and other pre-evaluation prices are arbitrarily arranged after the first pre-evaluation price.

For example, if the identifier corresponding to the interface for obtaining the pre-evaluated price obtained by the market comparison method is set as the first identifier, the pre-evaluated price obtained by the market comparison method is the first pre-evaluated price.

It should be noted that this application is not limited to the pre-evaluation price obtained by using the market comparison method, cost method and route price method, nor is it limited to setting the identifier of the interface corresponding to the market comparison method as the first identifier, and the first identifier is settable of.

S103. Calculate a difference factor coefficient by using the multiple pre-evaluated prices.

The pre-assessed prices obtained through different assessment methods are different, or even huge, so each pre-assessed price needs to be reasonably adjusted to obtain a reasonable valuation. The adjustment of the pre-assessed price is related to the difference factor coefficient. The difference factor coefficient is a ratio of a maximum value to a minimum value among a plurality of pre-evaluated prices obtained.

Assume that the pre-assessed prices obtained using the market comparison method, cost method, and route price method are P1, P2, and P3, respectively, and the difference factor coefficient b ₂ = max (P1, P2, P3) / min (P1, P2, P3).

S104. Obtain a weight value group according to the difference factor coefficient. The weight value group includes a plurality of weight values arranged in a second preset order, and the plurality of weight values arranged in the second preset order are sequentially one by one. Corresponds to a plurality of pre-evaluated prices arranged in a first preset order.

The larger the price difference factor coefficient, the greater the difference between the maximum pre-assessed price and the minimum pre-assessed price. A caution factor coefficient b _{1 is set} . In the case where the difference between b ₂ and b _{1 is} different, each pre-assessed price is selected. The corresponding weight values are different. For different situations, the weight values of different real estate evaluation strategies are preset according to the situation, and the highest weight value is arranged in the first order.

The second preset order means that the set maximum weight values are in the first order, and other weight values are arranged in an arbitrary order.

In the embodiment of the present application, for example, the three pre-evaluation prices arranged in the first preset order are P1, P2, and P3, and the weight values obtained in the second preset order are q1, q2, and q3. The plurality of weight values arranged in the second preset order sequentially correspond to the plurality of pre-evaluated prices arranged in the first preset order, so the weight value of P1 is q1, the weight value of P2 is q2, and the weight value of P3 is q3.

In the embodiment of the present application, the largest weight value will be ranked first, and the pre-evaluation price corresponding to the largest weight value will be the most important pre-evaluation price in the entire valuation process. The user can set the first identifier to select according to the actual situation The property evaluation strategy with the highest weight is to keep as much as possible the influence of the actual factors corresponding to the property evaluation strategy with the highest weight on the final evaluation result.

In one embodiment, the pre-evaluated price corresponding to the market comparison method is used as the first pre-evaluated price, and the pre-evaluated price corresponding to the cost method and the route price method is used as other pre-evaluated prices different from the first pre-evaluated price.

As shown in FIG. 3, step S104 includes sub-steps S1041a-S1044a.

S1041a: Obtain a warning factor coefficient.

S1042a: Compare the difference factor coefficient and the alert factor coefficient.

S1043a, if the difference factor coefficient is less than or equal to the alert factor coefficient, obtain a first weight value group as the weight value group, where the first weight value group includes a first preset weight value and a plurality of first Two preset weight values, the first preset weight value is greater than the plurality of second preset weight values, the first preset weight values are arranged in a first order, and the plurality of second preset weight values are The other orders are arranged arbitrarily, the plurality of second preset weight values are equal, and the sum of the first preset weight value and the plurality of second preset weight values is 1.

The first preset weight value is arranged in a first order, that is, the first preset weight value is a weight value corresponding to a first pre-evaluated price, and the second preset weight value is a weight value corresponding to another pre-evaluated price.

In one embodiment, the value of the alert factor coefficient is 1.1 (or 1.2 in other embodiments). When the difference factor coefficient is less than or equal to the alert factor coefficient, it indicates the minimum value of multiple pre-evaluated prices. The difference between the maximum value and the maximum value is not too large. The first preset weight value is the largest. The first pre-evaluation price is the main value. The corresponding first preset weight value (set to a) is 0.8. When there are n other pre-evaluated prices besides the first pre-evaluated price, the second preset weight value corresponding to the other n pre-evaluated prices is represented by k, then k = (1-a) / n.

S1044a, if the difference factor coefficient is greater than the alert factor coefficient, obtain a second weight value group as the weight value group, where the second weight value group includes a third preset weight value and a plurality of fourth preset values Setting a weight value, the third preset weight value is greater than the plurality of fourth preset weight values, the third preset weight value is arranged in a first order, and the plurality of fourth preset weight values are in another order Arbitrarily arranged, the plurality of fourth preset weight values are equal, the sum of the third preset weight value and the plurality of fourth preset weight values is 1, and the third preset weight value is less than The first preset weight value is described.

In this embodiment, when the difference factor coefficient is greater than the alert factor coefficient, it means that the difference between the minimum value and the maximum value of the multiple pre-evaluated prices is too large, and the error of the evaluation result is too large. The weight of the pre-evaluated price is reduced, that is, the second preset weight value is less than the first preset weight value, and the fourth preset weight value corresponding to other pre-evaluated prices is increased, in case the pre-evaluated price is too large and the weight is different. As a result, the actual evaluation results differ greatly from the actual value of the property to be evaluated.

In this embodiment, the third preset weight value (set as c) is 0.5 (in other embodiments, the value may be 0.6). If there are n other pre-evaluated prices in addition to the first pre-evaluated price When the fourth preset weight value j = (1-c) / n corresponding to the other n pre-evaluated prices.

In this embodiment, the weight value of each pre-evaluated price is determined only according to the size between the difference factor coefficient and the alert factor coefficient. In another embodiment, when the difference factor coefficient is greater than the alert factor coefficient, the difference factor is calculated according to the difference factor. The difference between the coefficient and the alert factor coefficient is used to determine the weight value of each pre-evaluated price.

As shown in FIG. 4, step S104 includes sub-steps S1041b-S1048b.

S1041b: Obtain a warning factor coefficient.

S1042b: Compare the difference factor coefficient and the alert factor coefficient.

S1043b, if the difference factor coefficient is less than or equal to the alert factor coefficient, obtain a first weight value group as the weight value group, where the first weight value group includes a first preset weight value and a plurality of first Two preset weight values, the first preset weight value is greater than the plurality of second preset weight values, the first preset weight values are arranged in a first order, and the plurality of second preset weight values are The other orders are arranged arbitrarily, the plurality of second preset weight values are equal, and the sum of the first preset weight value and the plurality of second preset weight values is 1.

In this another embodiment, when the difference factor coefficient is less than or equal to the alert factor coefficient, the method of obtaining the weight value corresponding to each pre-evaluated price is consistent with the above steps S1041a-S1043a.

S1044b, if the difference factor coefficient is greater than the alert factor coefficient, obtain a preset factor coefficient.

A preset factor coefficient is set in advance, the preset factor coefficient is greater than the alert factor coefficient, and the lower limit of the weight value corresponding to the first pre-evaluated price is limited by the preset factor coefficient.

S1045b: Compare the difference factor coefficient and the preset factor coefficient.

S1046b, if the difference factor coefficient is less than or equal to the preset factor coefficient, calculate the fifth weight value according to the formula x = a- (b ₂ / b ₁ -1), and according to the formula y = (1-x) / (n-1) calculates (n-1) equal sixth weight values, where x is the fifth weight value, y is the sixth weight value, x> y, and a is the first A preset weight value, b ₂ is the difference factor coefficient, b ₁ is the alert factor coefficient, and n is the total number of pre-evaluated prices.

S1047b, arrange the fifth weight value in a first order, and arrange the (n-1) equal sixth weight values after the fifth weight value to form the weight value group.

When the difference factor coefficient is less than or equal to the preset factor coefficient, the common restriction of the preset factor coefficient, the difference factor coefficient, and the alert factor coefficient makes the value of x smaller than the first preset weight value a and greater than the sixth weight value y , The calculated value of x is the largest and ranked in the first order, so the weight corresponding to each pre-evaluated price can be adjusted according to the error between the maximum pre-evaluated price and the minimum pre-evaluated price. The larger the difference between the evaluated prices, the smaller the weight (the fifth preset weight value x) occupied by the first pre-evaluated price, so that the weight (the sixth preset weight value y) occupied by other pre-evaluated prices increases. In order to get a more comprehensive evaluation result of each pre-evaluated price.

S1048b, if the difference factor coefficient is greater than the preset factor coefficient, obtain a second weight value group as the weight value group, where the second weight value group includes a third preset weight value and a plurality of fourth A preset weight value, the third preset weight value is greater than the plurality of fourth preset weight values and less than a minimum value of x, the third preset weight value is arranged in a first order, and the plurality of The four preset weight values are arbitrarily arranged in other orders, the plurality of fourth preset weight values are equal, and the sum of the third preset weight value and the plurality of fourth preset weight values is 1.

When the difference factor coefficient is greater than the preset factor coefficient, the weight value corresponding to the first pre-evaluated price in this case is set to the smallest, so that the weight value corresponding to other pre-evaluated prices is the largest, and the first pre-evaluation price is limited by the preset factor coefficient. The lower limit of the weight value corresponding to the evaluation price, so that the final evaluation result does not excessively deviate from the evaluation result corresponding to the currently popular evaluation method.

In one embodiment, the first preset weight value is set to 0.8, the alert factor coefficient is set to 1.1, the preset factor coefficient is set to 1.4, and the third preset weight value is set to 0.5. In another embodiment, The alert factor coefficient can be set to 1.2, the preset factor coefficient is set to 1.5, and the third preset weight value is set to 0.6.

S105. Calculate a comprehensive evaluation price of the property to be evaluated according to a plurality of the pre-evaluation prices and a weight value corresponding to each of the pre-evaluation prices.

After obtaining the weight value of each pre-evaluated price, the weight of each pre-evaluated price is integrated to obtain the comprehensive evaluation price. For example, if there are three pre-evaluated prices, which are P1, P2, and P3, and the corresponding weight values are q1, q2, and q3, respectively, then the comprehensive evaluation price P = P1 * q1 + P2 * q2 + P3 * q3.

The sum of the product of each pre-evaluation price and the corresponding weight value is used as the comprehensive evaluation price. In the case where there are different estimated prices and there is a large difference between the estimated prices, and the single estimated price cannot reflect the actual value of the property, The comprehensive assessment price can more accurately reflect the value of the property.

The method of real estate valuation in the embodiment of the present application integrates various pre-evaluated prices to obtain a comprehensive appraised price. Different pre-evaluated prices represent the results of appraising the property under different considerations. Valuation of real estate based on different pre-evaluated prices represents various considerations. The impact of factors on real estate valuation. When there are different valuation results and the valuation results are too different, and a single valuation result cannot reflect the real value of the real estate, the comprehensive assessment price can more accurately reflect the value of the real estate.

FIG. 5 is a schematic block diagram of a real estate valuation device 100 according to an embodiment of the present application. The real estate appraisal apparatus 100 includes a unit for performing the above-mentioned real estate appraisal method, and the apparatus may be configured in a terminal such as a desktop computer, a tablet computer, a laptop computer, or the like. The real estate valuation device 100 includes a first obtaining unit 101, a sorting unit 102, a first calculating unit 103, a second obtaining unit 104, and a second calculating unit 105.

The first obtaining unit 101 is configured to obtain an evaluation result of evaluating a plurality of real estate evaluation strategies for a property to be evaluated, where the evaluation result includes an identifier of each of the real estate evaluation strategies and a corresponding pre-evaluation price.

The sorting unit 102 is configured to arrange a plurality of the pre-evaluated prices according to a plurality of the identifiers in a preset order.

The first calculation unit 103 is configured to calculate a difference factor coefficient by using the multiple pre-evaluated prices.

The second obtaining unit 104 is configured to obtain a weight value group according to the difference factor coefficient, where the weight value group includes a plurality of weight values arranged in a preset order, and the plurality of weight values arranged in a preset order are sequentially one One corresponds to multiple pre-evaluated prices arranged in a preset order.

The second calculation unit 105 is configured to calculate a comprehensive evaluation price of the property to be evaluated according to a plurality of the evaluation values and a weight value corresponding to each evaluation value.

In one embodiment, the plurality of identifiers include a first identifier, and the first identifier is used to identify a pre-evaluation price corresponding to a real estate evaluation strategy preset in the multiple real estate evaluation strategies.

As shown in FIG. 6, the sorting unit 102 includes:

The determination subunit 121 is configured to determine a pre-evaluation price corresponding to the first identifier as a first pre-evaluation price.

A first sorting sub-unit 122 for the first pre-arranged in a first order assessment of price.

The second sorting subunit 123 is configured to arbitrarily arrange other pre-evaluated prices in other orders.

In an embodiment, as shown in FIG. 7, the second obtaining unit 104 includes:

The first obtaining subunit 141 is configured to obtain a warning factor coefficient.

A first comparison subunit 142 is configured to compare the difference factor coefficient and the alert factor coefficient.

A second acquisition subunit 143 is configured to acquire a first weight value group as the weight value group if the difference factor coefficient is less than or equal to the alert factor coefficient, where the first weight value group includes a first prediction value. A weight value and a plurality of second preset weight values are set, the first preset weight value is greater than the plurality of second preset weight values, the first preset weight value is arranged in a first order, and the plurality of The second preset weight values are arbitrarily arranged in other orders, the plurality of second preset weight values are equal, and the sum of the first preset weight value and the plurality of second preset weight values is 1.

A third obtaining subunit 144 is configured to obtain a second weight value group as the weight value group if the difference factor coefficient is greater than the alert factor coefficient, wherein the second weight value group includes a third preset weight Value and a plurality of fourth preset weight values, the third preset weight value is greater than the plurality of fourth preset weight values, the third preset weight value is arranged in a first order, and the plurality of fourth The preset weight values are arbitrarily arranged in other orders, the plurality of fourth preset weight values are equal, the sum of the third preset weight value and the plurality of fourth preset weight values is 1, and the first The three preset weight values are smaller than the first preset weight value.

In an embodiment, as shown in FIG. 8, the second obtaining unit 104 includes:

The first obtaining subunit 141 is configured to obtain a warning factor coefficient.

A first comparison subunit 142 is configured to compare the difference factor coefficient and the alert factor coefficient.

A second acquisition subunit 143 is configured to acquire a first weight value group as the weight value group if the difference factor coefficient is less than or equal to the alert factor coefficient, where the first weight value group includes a first prediction value. A weight value and a plurality of second preset weight values are set, the first preset weight value is greater than the plurality of second preset weight values, the first preset weight value is arranged in a first order, and the plurality of The second preset weight values are arbitrarily arranged in other orders, the plurality of second preset weight values are equal, and the sum of the first preset weight value and the plurality of second preset weight values is 1.

A fourth obtaining subunit 145 is configured to obtain a preset factor coefficient if the difference factor coefficient is greater than the alert factor coefficient.

A second comparison subunit 146 is configured to compare the difference factor coefficient and the preset factor coefficient.

A first calculation subunit 147 is configured to calculate the fifth weight value according to a formula x = a- (b ₂ / b ₁ -1) if the difference factor coefficient is less than or equal to the preset factor coefficient, and according to the formula y = (1-x) / (n-1) is calculated to obtain (n-1) equal sixth weight values, where x is the fifth weight value, y is the sixth weight value, and x> y, a is the first preset weight value, b ₂ is the difference factor coefficient, b ₁ is the alert factor coefficient, and n is the total number of pre-evaluated prices.

Forming a subunit 148, configured to arrange the fifth weight value in a first order, and arrange the (n-1) equal sixth weight values after the fifth weight value to form the weight Value group.

A fifth obtaining subunit 149 is configured to obtain a second weight value group as the weight value group if the difference factor coefficient is greater than the preset factor coefficient, wherein the second weight value group includes a third preset A weight value and a plurality of fourth preset weight values, the third preset weight value is greater than the plurality of fourth preset weight values and less than a minimum value of x, and the third preset weight value is ranked first In sequence, the plurality of fourth preset weight values are arbitrarily arranged in other orders, the plurality of fourth preset weight values are equal, and the third preset weight value is equal to the number of the plurality of fourth preset weight values. Sum is 1.

The above-mentioned real estate appraisal apparatus 100 may be implemented in the form of a computer program, and the computer program may be run on a computer device as shown in FIG. 9.

FIG. 9 is a schematic block diagram of a structure of a computer device 200 according to an embodiment of the present application. The computer device 200 may be a terminal or a server. The terminal may be an electronic device with a communication function, such as a smart phone, a tablet computer, a notebook computer, a desktop computer, a personal digital assistant, and a wearable device. The server can be an independent server or a server cluster consisting of multiple servers.

The computer device 200 includes a processor 202, a memory, and a network interface 205 connected through a system bus 201. The memory may include a non-volatile storage medium 203 and an internal memory 204.

The non-volatile storage medium 203 of the computer device 200 can store an operating system 2031 and a computer program 2032. When the computer program 2032 is executed, the processor 202 can execute a method for real estate valuation. The internal memory 204 provides an environment for running the computer program 2032 in the non-volatile storage medium 203. The processor 202 of the computer device 200 is used to provide computing and control capabilities to support the operation of the entire computer device 200. The network interface 205 of the computer device 200 is used for network communication, such as sending assigned tasks and receiving data.

Those skilled in the art can understand that the embodiment of the computer device shown in FIG. 9 does not constitute a limitation on the specific configuration of the computer device. In other embodiments, the computer device may include more or fewer components than shown in the figure. Either some parts are combined or different parts are arranged. For example, in some embodiments, the computer device may include only a memory and a processor. In such an embodiment, the structures and functions of the memory and the processor are consistent with the embodiment shown in FIG. 9, and details are not described herein again.

When the processor 202 runs the computer program 2032 in the non-volatile storage medium 203, the implementation manners of all the embodiments of the above-mentioned property valuation method can be implemented.

It should be understood that, in the embodiment of the present application, the processor 202 may be a central processing unit (CPU), and the processor 202 may also be another general-purpose processor, a digital signal processor (Digital Signal Processor, DSP), Application Specific Integrated Circuit (ASIC), Field-Programmable Gate Array (FPGA) or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, etc. The general-purpose processor may be a microprocessor, or the processor may be any conventional processor.

A person of ordinary skill in the art can understand that all or part of the processes in the method of the foregoing embodiment can be implemented by using a computer program to instruct related hardware. The computer program includes program instructions. The computer program may be stored in a storage medium, and the storage medium is a computer-readable storage medium. The program instructions are executed by at least one processor in the computer system to implement the process steps of the embodiment of the method.

Therefore, the present application also provides a computer-readable storage medium, where the computer-readable storage medium stores one or more computer programs, and the one or more computer programs can be executed by one or more processors. The one or more programs are executed by one or more processors, which can implement all the embodiments of the above-mentioned property valuation method.

The computer-readable storage medium may be a non-volatile storage medium, which is an internal storage unit of the foregoing device, such as a hard disk or a memory of the device, and the storage medium may also be an external storage device of the device, such as on the device. Equipped with a plug-in hard disk, a smart memory card (SMC), a secure digital (SD) card, a flash card (Flash card), and the like. Further, the computer-readable storage medium may further include both an internal storage unit of the device and an external storage device.

The above description is only the specific implementation of this application, but the scope of protection of this application is not limited to this. Any person skilled in the art can easily think of various equivalents Modifications or replacements should be covered by the protection scope of this application. Therefore, the protection scope of this application shall be subject to the protection scope of the claims.

Claims (20)

1. A method of property valuation including:

   Obtaining an evaluation result of evaluating a plurality of real estate evaluation strategies to be evaluated, the evaluation result including an identification of each of the real estate evaluation strategies and a corresponding pre-evaluation price;

   Arranging a plurality of the pre-evaluated prices according to a plurality of the identifiers in a first preset order;

   Calculating a difference factor coefficient by using the plurality of pre-evaluated prices;

   A weight value group is obtained according to the difference factor coefficient, the weight value group includes a plurality of weight values arranged in a second preset order, and the plurality of weight values arranged in the second preset order corresponds to one by one in sequence. A plurality of pre-evaluated prices arranged in a first preset order;

   The comprehensive evaluation price of the property to be evaluated is calculated according to a plurality of the pre-evaluation prices and a weight value corresponding to each pre-evaluation price.
2. The method for real estate valuation according to claim 1, wherein the plurality of identifiers include a first identifier, and the first identifier is used to identify a pre-correspondence of a real estate evaluation strategy preset in the multiple real estate evaluation strategies. Evaluation price

   Arranging a plurality of the pre-evaluated prices according to a plurality of the identifiers in a first preset order includes:

   Determining the pre-evaluation price corresponding to the first identifier as the first pre-evaluation price;

   Arranging the first pre-evaluated prices in a first order;

   Arrange other pre-evaluated prices in any order.
3. The method according to claim 1, wherein the obtaining a weight value group according to the difference factor coefficient, the weight value group comprising a plurality of weight values arranged in a second preset order;

   The obtaining a weight value group according to the difference factor coefficient includes:

   Get the alert factor coefficient;

   Comparing the difference factor coefficient and the alert factor coefficient;

   If the difference factor coefficient is less than or equal to the alert factor coefficient, obtaining a first weight value group as the weight value group, wherein the first weight value group includes a first preset weight value and a plurality of second preset values; Set a weight value, the first preset weight value is greater than the plurality of second preset weight values, the first preset weight value is arranged in a first order, and the plurality of second preset weight values are in another order Arbitrarily arranged, the plurality of second preset weight values are equal, and the sum of the first preset weight value and the plurality of second preset weight values is 1.
4. The method according to claim 3, wherein after comparing the difference factor coefficient and the alert factor coefficient, further comprising:

   If the difference factor coefficient is greater than the alert factor coefficient, obtaining a second weight value group as the weight value group, wherein the second weight value group includes a third preset weight value and a plurality of fourth preset weights Value, the third preset weight value is greater than the plurality of fourth preset weight values, the third preset weight value is arranged in a first order, and the plurality of fourth preset weight values are randomly arranged in other orders The plurality of fourth preset weight values are equal, the sum of the third preset weight value and the plurality of fourth preset weight values is 1, and the third preset weight value is less than the first A preset weight value.
5. The method according to claim 3, wherein after comparing the difference factor coefficient and the alert factor coefficient, further comprising:

   If the difference factor coefficient is greater than the alert factor coefficient, obtaining a preset factor coefficient;

   Comparing the difference factor coefficient with the preset factor coefficient;

   If the difference factor coefficient is less than or equal to the preset factor coefficient, calculate the fifth weight value according to the formula x = a- (b ₂ / b ₁ -1), and according to the formula y = (1-x) / ( n-1) Calculate (n-1) equal sixth weight values, where x is the fifth weight value, y is the sixth weight value, x> y, and a is the first prediction Set the weight value, b ₂ is the difference factor coefficient, b ₁ is the alert factor coefficient, and n is the total number of pre-evaluated prices;

   The fifth weight values are arranged in a first order, and the (n-1) equal sixth weight values are arranged after the fifth weight value to form the weight value group.
6. The method according to claim 5, wherein after comparing the difference factor coefficient and the preset factor coefficient, the method further comprises:

   If the difference factor coefficient is greater than the preset factor coefficient, obtaining a second weight value group as the weight value group, wherein the second weight value group includes a third preset weight value and a plurality of fourth preset values A weight value, the third preset weight value is greater than the plurality of fourth preset weight values and less than a minimum value of x, the third preset weight value is arranged in a first order, and the plurality of fourth preset weight values It is assumed that the weight values are arbitrarily arranged in other orders, the plurality of fourth preset weight values are equal, and the sum of the third preset weight value and the plurality of fourth preset weight values is 1.
7. A property valuation device including:

   A first obtaining unit, configured to obtain an evaluation result of a plurality of evaluation platforms for the property to be evaluated, where the evaluation result includes an identification of the evaluation platform and a pre-evaluation price of the evaluation platform;

   A sorting unit, configured to arrange a plurality of the pre-evaluated prices in a preset order according to a plurality of the identifiers;

   A first calculation unit, configured to calculate a difference factor coefficient by using the plurality of pre-evaluated prices;

   A second obtaining unit is configured to obtain a weight value group according to the difference factor coefficient, the weight value group includes a plurality of weight values arranged in a preset order, and the plurality of weight values arranged in a preset order is sequentially one One corresponding to multiple pre-evaluated prices arranged in a preset order;

   A second calculation unit is configured to calculate a comprehensive evaluation price of the property to be evaluated according to the multiple pre-evaluation prices and a weight value corresponding to each pre-evaluation price.
8. The real estate appraisal device according to claim 7, wherein the plurality of identifiers include a first identifier, and the first identifier is used to identify a pre-correspondence corresponding to a real estate evaluation strategy preset in the multiple real estate evaluation strategies. Evaluation price

   The sorting unit includes:

   A determining subunit, configured to determine a pre-evaluated price corresponding to the first identifier as a first pre-evaluated price;

   A first sorting subunit, configured to arrange the first pre-evaluated prices in a first order;

   The second sorting subunit is used to arbitrarily arrange other pre-evaluated prices in other orders.
9. The real estate valuation device according to claim 7, wherein the obtaining a weight value group according to the difference factor coefficient, the weight value group comprising a plurality of weight values arranged in a second preset order;

   The second obtaining unit includes:

   A first acquisition subunit, configured to acquire an alert factor coefficient;

   A first comparison subunit, configured to compare the difference factor coefficient and the alert factor coefficient;

   A second obtaining subunit is configured to obtain a first weight value group as the weight value group if the difference factor coefficient is less than or equal to the alert factor coefficient, wherein the first weight value group includes a first preset A weight value and a plurality of second preset weight values, the first preset weight value is greater than the plurality of second preset weight values, the first preset weight value is arranged in a first order, and the plurality of The two preset weight values are arbitrarily arranged in other orders, the plurality of second preset weight values are equal, and the sum of the first preset weight value and the plurality of second preset weight values is 1.
10. The real estate appraisal device according to claim 9, wherein the second obtaining unit further comprises:

    A third obtaining subunit, configured to obtain a second weight value group as the weight value group if the difference factor coefficient is greater than the alert factor coefficient, wherein the second weight value group includes a third preset weight value And a plurality of fourth preset weight values, the third preset weight value is greater than the plurality of fourth preset weight values, the third preset weight value is arranged in a first order, and the plurality of fourth preset weight values are It is assumed that the weight values are arbitrarily arranged in other orders, the plurality of fourth preset weight values are equal, the sum of the third preset weight value and the plurality of fourth preset weight values is 1, and the third The preset weight value is smaller than the first preset weight value.
11. The real estate appraisal device according to claim 9, wherein the second obtaining unit further comprises:

    A fourth obtaining subunit, configured to obtain a preset factor coefficient if the difference factor coefficient is greater than the alert factor coefficient;

    A second comparison subunit, configured to compare the difference factor coefficient and the preset factor coefficient;

    A first calculation subunit, configured to calculate the fifth weight value according to a formula x = a- (b ₂ / b ₁ -1) if the difference factor coefficient is less than or equal to the preset factor coefficient, and according to a formula y = (1-x) / (n-1) Calculate (n-1) equal sixth weight values, where x is the fifth weight value, y is the sixth weight value, and x> y A is the first preset weight value, b ₂ is the difference factor coefficient, b ₁ is the alert factor coefficient, and n is the total number of pre-evaluated prices;

    Forming a sub-unit for arranging the fifth weight value in a first order, and arranging the (n-1) equal sixth weight values after the fifth weight value to form the weight value group.
12. The real estate appraisal device according to claim 11, wherein the second obtaining unit further comprises:

    A fifth obtaining subunit is configured to obtain a second weight value group as the weight value group if the difference factor coefficient is greater than the preset factor coefficient, wherein the second weight value group includes a third preset weight Value and a plurality of fourth preset weight values, the third preset weight value is greater than the plurality of fourth preset weight values and is less than a minimum value of x, and the third preset weight value is arranged in a first order The plurality of fourth preset weight values are arbitrarily arranged in other orders, the plurality of fourth preset weight values are equal, and the third preset weight value and the sum of the plurality of fourth preset weight values are Is 1.
13. A computer device including a memory and a processor connected to the memory;

    The memory is used to store a computer program that implements a method for real estate valuation;

    The processor is configured to run a computer program stored in the memory to perform the following steps: obtaining an evaluation result of evaluating a plurality of real estate evaluation strategies for a property to be evaluated, the evaluation result including an identification and Its corresponding pre-evaluation price; arranging a plurality of the pre-evaluation prices in a first preset order according to a plurality of the identifiers; using the plurality of pre-evaluation prices to calculate a difference factor coefficient; obtaining a weight according to the difference factor coefficient A value group, the weight value group includes a plurality of weight values arranged in a second preset order, and the plurality of weight values arranged in the second preset order sequentially corresponds to a plurality of values arranged in the first preset order A pre-evaluation price; and calculating a comprehensive evaluation price of the property to be evaluated according to a plurality of the pre-evaluation prices and a weight value corresponding to each pre-evaluation price.
14. The computer device according to claim 13, wherein the plurality of identifiers include a first identifier, and the first identifier is used to identify a pre-evaluation corresponding to a preset real estate evaluation strategy among the multiple real estate evaluation strategies. price;

    When the processor executes the step of arranging a plurality of the pre-evaluated prices according to a plurality of the identifiers in a first preset order, the processor specifically performs the following steps: determining a pre-evaluated price corresponding to the first identifier Is the first pre-evaluated price; the first pre-evaluated price is arranged in the first order; other pre-evaluated prices are arbitrarily arranged in other orders.
15. The computer device according to claim 13, wherein the processor is executing the obtaining a weight value group according to the difference factor coefficient, the weight value group comprising a plurality of weight values arranged in a second preset order. In the step, the following steps are specifically performed: obtaining a warning factor coefficient; comparing the difference factor coefficient with the warning factor coefficient; if the difference factor coefficient is less than or equal to the warning factor coefficient, obtaining a first weight value group as The weight value group, wherein the first weight value group includes a first preset weight value and a plurality of second preset weight values, and the first preset weight value is greater than the plurality of second preset weight values Value, the first preset weight value is arranged in a first order, the plurality of second preset weight values are randomly arranged in another order, the plurality of second preset weight values are equal, and the first preset weight value is The sum of the value and the plurality of second preset weight values is 1.
16. The computer device according to claim 15, wherein after the processor executes the step of comparing the difference factor coefficient and the alert factor coefficient, the processor further performs the following step: if the difference factor coefficient is greater than The alert factor coefficient, obtaining a second weight value group as the weight value group, wherein the second weight value group includes a third preset weight value and a plurality of fourth preset weight values, and the third preset value It is assumed that the weight value is greater than the plurality of fourth preset weight values, the third preset weight value is arranged in a first order, the plurality of fourth preset weight values are randomly arranged in another order, and the plurality of fourth The preset weight values are equal, the sum of the third preset weight value and the plurality of fourth preset weight values is 1, and the third preset weight value is smaller than the first preset weight value.
17. A computer-readable storage medium, wherein the computer-readable storage medium stores one or more computer programs, and the one or more computer programs can be executed by one or more processors to implement the following steps: Obtaining an evaluation result of multiple real estate evaluation strategies to evaluate the real estate to be evaluated, the evaluation result includes an identifier of each of the real estate evaluation strategies and a corresponding pre-evaluation price thereof; The prices are arranged in a first preset order; a difference factor coefficient is calculated using the plurality of pre-evaluated prices; a weight value group is obtained according to the difference factor coefficients, and the weight value group includes a plurality of weights arranged in a second preset order Value, the plurality of weight values arranged in the second preset order sequentially correspond to the plurality of pre-evaluated prices arranged in the first preset order; according to the plurality of the pre-evaluated prices and each pre-evaluated price corresponds to To calculate the comprehensive appraised price of the property to be evaluated.
18. The storage medium according to claim 17, wherein the plurality of identifiers include a first identifier, and the first identifier is used to identify a pre-evaluation corresponding to a preset real estate evaluation strategy among the multiple real estate evaluation strategies. price;

    When implementing the step of arranging a plurality of the pre-evaluated prices according to a plurality of the identifiers in a first preset order, the following steps are specifically implemented: determining a pre-evaluated price corresponding to the first identifier as a first pre-evaluation price. Evaluate prices; arrange the first pre-evaluated prices in the first order; arrange other pre-evaluated prices in any order.
19. The storage medium according to claim 17, wherein when implementing the step of obtaining a weight value group according to the difference factor coefficient, the weight value group including a plurality of weight values arranged in a second preset order, specifically The following steps are implemented: obtaining a warning factor coefficient; comparing the difference factor coefficient with the warning factor coefficient; if the difference factor coefficient is less than or equal to the warning factor coefficient, obtaining a first weight value group as the weight value A group, wherein the first weight value group includes a first preset weight value and a plurality of second preset weight values, the first preset weight value is greater than the plurality of second preset weight values, and A first preset weight value is arranged in a first order, the plurality of second preset weight values are arranged in another order arbitrarily, the plurality of second preset weight values are equal, and the first preset weight value is equal to the The sum of the plurality of second preset weight values is 1.
20. The storage medium according to claim 19, wherein after implementing the step of comparing the difference factor coefficient and the alert factor coefficient, further implementing the following step: if the difference factor coefficient is greater than the alert factor Coefficients to obtain a second weight value group as the weight value group, wherein the second weight value group includes a third preset weight value and a plurality of fourth preset weight values, and the third preset weight value is greater than The plurality of fourth preset weight values, the third preset weight value is arranged in a first order, the plurality of fourth preset weight values are randomly arranged in other orders, and the plurality of fourth preset weight values are arranged in an arbitrary order Equal, the sum of the third preset weight value and the plurality of fourth preset weight values is 1, and the third preset weight value is smaller than the first preset weight value.

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