CN111210245A - Evaluation method and evaluation device for insurance product, intelligent system and storage device - Google Patents
Evaluation method and evaluation device for insurance product, intelligent system and storage device Download PDFInfo
- Publication number
- CN111210245A CN111210245A CN201811393307.7A CN201811393307A CN111210245A CN 111210245 A CN111210245 A CN 111210245A CN 201811393307 A CN201811393307 A CN 201811393307A CN 111210245 A CN111210245 A CN 111210245A
- Authority
- CN
- China
- Prior art keywords
- guarantee
- insurance product
- insurance
- responsibility
- same
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Granted
Links
Images
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q30/00—Commerce
- G06Q30/02—Marketing; Price estimation or determination; Fundraising
- G06Q30/0282—Rating or review of business operators or products
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q40/00—Finance; Insurance; Tax strategies; Processing of corporate or income taxes
- G06Q40/08—Insurance
Abstract
The application discloses evaluation method, evaluation device, intelligent system and storage device of insurance product, and the comprehensive evaluation method comprises the following steps: acquiring a marked insurance product; the marked information comprises the types and the quality of all guarantees or responsibilities of the insurance product; distributing guarantees or responsibilities with the same labeling type and quality grade of different insurance products to the same group, and calculating to obtain the percentage grade of each guarantee or responsibility in the same group; calculating the standard score of the guarantee or the responsibility by utilizing the percentage grade of each guarantee or responsibility in the same group; and performing weighted calculation on all the standard scores of guarantee or responsibility of the same insurance product according to a set proportion to obtain the evaluation score of the insurance product. By the method, consumers can obtain insurance products more suitable for the consumers.
Description
Technical Field
The application relates to the technical field of model application, in particular to an evaluation method, an evaluation device, an intelligent system and a storage device of an insurance product.
Background
Current legal channels for insurance sales include the insurer's own channel, the guaranty channel, the marketing channel, and the agent channel. The existing insurance has more than tens of thousands, even if the insurance of the same type has at least thousands. Because the insurance field relates to a lot of professional knowledge, the information is quite different, so that the consumers are easy to misunderstand and doubt when understanding the product terms, the products are difficult to select rationally, and even the purchasing behavior is abandoned.
Currently, professional agents contribute a significant portion of insurance sales to the agent channels that the customer serves. And professional agents can not reasonably compare all products on the market because the products to be acted are limited and the sale proportion of the agent products is different compared with tens of thousands of products sold on the market, so that insurance products most suitable for the needs of consumers are recommended.
Disclosure of Invention
The technical problem mainly solved by the application is to provide an insurance product evaluation method, a question-answering method, an evaluation device, an intelligent system and a storage device, so that consumers can obtain insurance products more suitable for themselves.
In order to solve the above technical problem, the first technical solution adopted by the present application is: provided is an evaluation method of an insurance product, including: acquiring a marked insurance product; the marked information comprises the marks of the types and the qualities of all guarantees or responsibilities of the insurance products;
distributing guarantees or responsibilities with the same labeling type and quality grade of different insurance products to the same group, and calculating to obtain the percentage grade of each guarantee or responsibility in the same group;
calculating the standard score of the guarantee or the responsibility by utilizing the percentage grade of each guarantee or responsibility in the same group;
and performing weighted calculation on all the standard scores of guarantee or responsibility of the same insurance product according to a set proportion to obtain the evaluation score of the insurance product.
In order to solve the above technical problem, the second technical solution adopted by the present application is: provides an evaluation device of insurance products, which comprises an acquisition module, a percentage grade calculation module, a standard score calculation module and an evaluation score calculation module,
the acquisition module is used for acquiring the labeled insurance products; the marked information comprises the marks of the types and the qualities of all guarantees or responsibilities of the insurance products;
the percentage grade calculation module is used for distributing the guarantees or responsibilities with the same labeling type and quality grade of different insurance products to the same group and calculating the percentage grade of each guarantee or responsibility in the same group;
the standard score calculating module is used for calculating the standard score of the guarantee or the responsibility by utilizing the percentage grade of each guarantee or responsibility in the same group;
and the evaluation score calculation module is used for carrying out weighted calculation on all guarantee or responsibility standard scores of the same insurance product according to a set proportion to obtain the evaluation score of the insurance product.
In order to solve the above technical problem, the third technical solution adopted by the present application is: an intelligent system is provided, wherein the intelligent system comprises a human-computer interaction control circuit, a processor and a computer program which can run on the processor, and the processor executes the computer program to realize the evaluation method of the insurance product.
In order to solve the above technical problem, a fourth technical solution adopted by the present application is: there is provided a storage device having stored thereon program data which, when executed by a processor, implements the method of evaluating an insurance product of any one of the above.
Compared with the prior art, the beneficial effects of this application are: in the application, after the labeled insurance products are obtained, the guarantees or responsibilities with the same labeling type and quality grade of different insurance products are distributed to the same group, the percentage grade of each guarantee or responsibility in the same group is obtained through calculation, the standard score of the guarantee or responsibility is obtained through calculation by using the percentage grade, and the evaluation score of the insurance products is further obtained. Through the method for quantifying the responsibility or guarantee of the insurance products, all the insurance products can be reasonably evaluated to form reasonable comparison of all the insurance products, so that a user can visually and simply know the advantages and disadvantages of various insurance products to find the insurance product which is most suitable for the self requirement.
Drawings
FIG. 1 is a schematic flow chart diagram of one embodiment of a method for evaluating an insurance product of the present application;
FIG. 2 is a schematic flow chart diagram illustrating one embodiment of step 102 of FIG. 1;
FIG. 3 is a schematic flow chart diagram illustrating another embodiment of a method for evaluating an insurance product of the present application;
FIG. 4 is a schematic diagram of an embodiment of an evaluation apparatus for an insurance product of the present application;
FIG. 5 is a schematic structural diagram of another embodiment of an evaluation device for an insurance product of the present application;
FIG. 6 is a schematic block diagram of an embodiment of the intelligent system of the present application;
FIG. 7 is a schematic structural diagram of an embodiment of a memory device according to the present application.
Detailed Description
The technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the drawings in the embodiments of the present application, and it is obvious that the described embodiments are only a part of the embodiments of the present application, and not all of the embodiments. All other embodiments obtained by a person of ordinary skill in the art without any creative effort based on the embodiments in the present application belong to the protection scope of the present application.
As shown in fig. 1, fig. 1 is a schematic flow chart of an embodiment of the evaluation method of the insurance product of the present application. The method comprises the following steps:
step 101: and acquiring the marked insurance product.
Wherein, the marked information comprises the marks of the types and the quality of all guarantees or responsibilities of the insurance product. Generally, each insurance product has many terms, so that corresponding guarantees and responsibilities are also many, and in order to completely embody the quality or cost performance of the insurance product in the same type of products, the type and quality of each guarantee or responsibility of the insurance product are labeled. Wherein, marking the quality comprises marking the quality score or marking the quality annotation. And then, acquiring the quality grade of each guarantee or responsibility of the insurance product according to the quality label. Specifically, the quality grade may be obtained by grade distribution of the labeled quality score, or may be obtained by grade classification according to the quality annotation, which is not limited herein. Generally, a quality grade includes a fractional segment, for example, D is 60 min or less, C is 60-70, B is 71-80, and a is 81-100.
Wherein, the marking of each guarantee or responsibility of the insurance product can be manually marked. Or labeling may be performed by a labeling model first, and then labeling may be performed by a manual verification method, which is not limited herein.
Step 102: and distributing the guarantees or responsibilities with the same labeling type and quality grade of different insurance products to the same group, and calculating to obtain the percentage grade of each guarantee or responsibility in the same group.
Wherein the insurance product can be a different type of insurance product. However, in order to provide contrast of insurance products of the same type and improve the practicability of the evaluation method, it is preferable that different insurance products in the present embodiment refer to insurance products of the same type, such as child insurance or old care insurance.
Since many original values of quality of guarantee or responsibility of the insurance product, such as scores, do not have continuity and are not suitable for being directly evaluated by the standard score, the percentage grade is firstly converted into the continuous variable in the embodiment and then evaluated by the standard score method.
As shown in fig. 2, fig. 2 is a flowchart illustrating an embodiment of step 102, which includes:
step 1021: and distributing the same-grade guarantees or responsibilities of the same labeling type of different insurance products to the same group, and calculating to obtain the percentile of each guarantee or item in the same group.
Generally, the same dimension terms of the same type of insurance products, namely, the responsibilities and the contents of the guarantee of the same labeling type are basically the same and different, and the difference is generally in the size of the guarantee range, the amount of the guarantee or the severity of the conditions during reimbursement and the like. The same guarantee or responsibility of the insurance products of the same type are compared separately, so that a reference for a certain guarantee or responsibility can be provided for a user, and a reference is also provided for the quality of the subsequent calculation insurance products.
Specifically, in this embodiment, the number of guarantees or responsibilities of all the same labeling types of the dimension, i.e. the number of samples N, is counted firstR. Then, a quality label such as a score or a grade comment such as best, worst, etc. is obtained from the label of the guarantee or the liability of the insurance product, and the grade of each guarantee or liability in its dimension is determined according to the quality such as the level of the score according to a preset grade setting rule, such as one of the A, B, C, D four grades in the above example.
Assigning guarantees or responsibilities with the same labeling type and quality grade to the same group, ordering the actual labeling quality or the quality of specific content in the same group, and assigning a grade R in the groupG. And counting according to the number of samples of the guarantee or responsibility in the group to obtain the level R of the guarantee or responsibility in the groupGPercentile P ofG。
For example, if there are 4000 insurance products of the same type, such as a major risk, the total number of samples N for the insurance products is 4000. The 4000 severe insurance guarantees or responsibilities may include A, B, C, D four annotation types, each annotation type being N in numberR. And the guarantee or responsibility marked with the type A is divided into three levels of 3 a, b and c, so that the guarantee or responsibility marked with the type A is divided into a group as the guarantee or responsibility of the level a, is divided into a group as the guarantee or responsibility of the level b, and is divided into a group as the guarantee or responsibility of the level c. The 200 guarantees or responsibilities in the a level can be graded or sorted again through the marked evaluation scores or the mode of manually judging the actual content quality, and preferably, the quality sorting of the guarantees or responsibilities is sorted in a descending order. According to the level of each guarantee or liability in the group, i.e. RGAnd through RGCalculating to obtain a percentile PG。
Step 1022: the percentile rating for each guarantee or liability is obtained based on the percentile and the sample number of the insurance product.
Wherein, the percentage grade refers to the percentage of the number of times of the fraction lower than a certain preset fraction to the total number of times in a sequence arranged according to the size.
Specifically, the percentage grade P is calculated by the following formulaR。
Where N is the total number of samples of insurance product, such as 4000.
cfLThe guarantees or responsibilities for the same group correspond to the cumulative number of samples of the level before the level, for example, the guarantees or responsibilities with the label type A are classified into a group as the level a guarantees or responsibilities, and the group comprises 200 guarantees or responsibilities of three levels (1), (2) and (3). Level (1) is 100 items, level (2) is 30 items, level (3) is 70 items, and level (1) is higher than level (2) and level (2) is higher than level (3). When the percentage rating of the rating (1) is calculated, the cumulative sample number is 100 items of the cumulative sample number, when the percentage rating of the rating (2) is calculated, the cumulative sample number is 100 items of the rating (1), and when the percentage rating of the rating (3) is calculated, the cumulative sample number is the sum of the samples of the rating (1) and the rating (2), and the cumulative sample number is 130 items.
PGLThe lower limit of the percentile in the same group, for example, the lowest grade of the grade (3) and the corresponding percentile are the lowest, and at this time, the lower limit of the percentile is the percentile of the grade (3).
i is a percentage scale of the intra-group distance, e.g. 1% or 2% or other values such as 5%. For example, for the class of car insurance, some are full reimbursements, some are 90% reimbursements, and some are 80% reimbursements. Some reimbursement ratios are 85%, but all are in the grade of 80% -90%, the reimbursement ratios are divided into the same group, and the distance i in the group is 5%.
NRNumber of samples, P, for guarantee or responsibility of the same type of labelGPercentiles of the levels within a group for each guarantee or term within the same group. And are not limited herein.
Step 103: and calculating the standard score of the guarantee or the responsibility by utilizing the percentage grade of each guarantee or responsibility in the same group.
In a specific embodiment, the criterion score T is calculated by the following formula.
T＝50+10*Zpr。
Wherein Z isprThe corresponding standard scores in the normal distribution table are the percentage grades.
In other embodiments, if the original value of the quality of the insurance or liability of the insurance product, e.g., the score, is continuous, e.g., the average insurance claim age or the total incidence probability of the guaranteed illness. The criterion score T can be obtained directly by calculating by the following formula:
wherein X is the original value of a sample of certain guarantee or liability, such as premium. Mu is the mean of the guarantee or liability samples in the same group, and sigma is the standard deviation of the samples, and for example, in the claims, the actual parameters of the insurance product A are 10 days, i.e., the original value of the samples is 10 days, the mean value of the claims days of all insurance products of the same type is 11 days, and the mean value of the samples is 11 days.
Step 104: and performing weighted calculation on all the standard scores of guarantee or responsibility of the same insurance product according to a set proportion to obtain the evaluation score of the insurance product.
And after the standard scores of all the guarantees or responsibilities of a certain insurance product are obtained, weighting the standard scores of all the guarantees or responsibilities according to the preset weighting proportion, and summing to obtain the evaluation score of the insurance product.
Because the data volume involved in the evaluation of each guarantee or responsibility is large, the calculation and the character expression are performed in a vector manner in the embodiment, and the following formula is specifically shown:
Referring to the following table, the following table lists the product scores and partial calculation data for one insurance product a:
wherein the evaluation score of insurance product A
After the evaluation score of the insurance product is obtained, the evaluation score is stored, so that the subsequent user can conveniently inquire and use the insurance product. In addition, in order to conveniently inquire the comparison condition of each dimension, namely the guarantee or responsibility of the same type, the percentage grade and the standard score of each guarantee or responsibility can be stored, so that a more comprehensive reference is provided for the user.
Different from the prior art, after the labeled insurance products are obtained, the guarantees or responsibilities with the same labeling type and quality grade of different insurance products are distributed to the same group, the percentage grade of each guarantee or responsibility in the same group is calculated, the standard score of the guarantee or responsibility is calculated by using the percentage grade, and the evaluation score of the insurance products is further obtained. Through the method for quantifying the responsibility or guarantee of the insurance products, all the insurance products can be reasonably evaluated to form reasonable comparison of all the insurance products, so that a user can visually and simply know the advantages and disadvantages of various insurance products to find the insurance product which is most suitable for the self requirement.
Since the evaluation score of an insurance product is generally an assessment of the quality of the product, normally, the higher the quality, such as the higher the premium, the faster the claim settlement. But the premium corresponding to insurance products with higher quality is also very high, and for general families or users, the trend is that the insurance products which are more suitable for the users are searched.
As shown in fig. 3, fig. 3 is a schematic flow chart of another embodiment of the evaluation method of the insurance product of the present application. The present embodiment differs from any of the above embodiments in that after the evaluation score of the insurance product is obtained, the step 305 of calculating the cost performance of the insurance product is further obtained.
The method specifically comprises the following steps:
step 301: and acquiring the marked insurance product.
This step is the same as step 101, and please refer to step 101 and the description of the relevant text, which are not described herein again.
Step 302: and distributing the guarantees or responsibilities with the same labeling type and quality grade of different insurance products to the same group, and calculating to obtain the percentage grade of each guarantee or responsibility in the same group.
This step is the same as step 102, and please refer to step 102 and the description of the relevant text specifically, which is not described herein again.
Step 303: and calculating the standard score of the guarantee or the responsibility by utilizing the percentage grade of each guarantee or responsibility in the same group.
This step is the same as step 103, and please refer to step 103 and the description of the relevant text, which are not described herein again.
Step 304: and performing weighted calculation on all the standard scores of guarantee or responsibility of the same insurance product according to a set proportion to obtain the evaluation score of the insurance product.
This step is the same as step 104, and please refer to step 104 and the description of the relevant text specifically, which is not described herein again.
Step 305: and obtaining the cost performance of the insurance product according to the evaluation score of the insurance product and the premium of the insurance product.
Specifically, the cost performance C of the insurance product is calculated by the following formula:
wherein, IARIF is the premium and P is the evaluation score of the insurance product.
The premium and the premium are combined into the evaluation score of the insurance product to comprehensively calculate the cost performance of the insurance product, so that the user can know the performance at a glance, spend the least funds and obtain the insurance product which is most suitable for the user.
Further, the cost performance of the insurance product is stored. When the system is put into use and receives an inquiry instruction sent by a user, according to the insurance product or the responsibility or guarantee of the insurance product included in the inquiry instruction, inquiring the percentage grade of the responsibility or the guarantee of the insurance product or the insurance product including the guarantee or the responsibility, the standard score or the evaluation score of the insurance product and the cost performance, and providing the inquiry for the user so as to facilitate the reference of the user.
Referring to fig. 4, fig. 4 is a schematic structural diagram of an embodiment of an evaluation device for an insurance product according to the present application. In this embodiment, the evaluation device of the insurance product includes an acquisition module 401, a percentage rating calculation module 402, a criterion score calculation module 403, and an evaluation score calculation module 404.
The obtaining module 401 is configured to obtain a labeled insurance product; the labeling includes labeling the type and quality of each guarantee or liability of the insurance product.
Wherein, the marked includes marking the types and quality of each guarantee or responsibility of the insurance product. Generally, each insurance product has many terms, so that corresponding guarantees and responsibilities are also many, and in order to completely embody the quality or cost performance of the insurance product in the same type of products, the type and quality of each guarantee or responsibility of the insurance product are labeled. Wherein, marking the quality comprises marking the quality score or marking the quality annotation. And then, acquiring the quality grade of each guarantee or responsibility of the insurance product according to the quality label. Specifically, the quality grade may be obtained by grade distribution of the quality score of the label, or may be obtained by grade classification directly according to the quality annotation, which is not limited herein. Generally, a quality grade includes a fractional segment, for example, D is 60 min or less, C is 60-70, B is 71-80, and a is 81-100.
Wherein, the marking of each guarantee or responsibility of the insurance product can be manually marked. Or labeling may be performed by a labeling model first, and then labeling may be performed by a manual verification method, which is not limited herein.
The percentage level calculation module 402 is configured to assign guarantees or responsibilities with the same labeling type and quality level for different insurance products to the same group, and calculate a percentage level of each guarantee or responsibility in the same group.
Since many original values of quality of guarantee or responsibility of the insurance product, such as scores, do not have continuity and are not suitable for being directly evaluated by the standard score, the percentage grade is firstly converted into the continuous variable in the embodiment and then evaluated by the standard score method.
Wherein the insurance product can be a different type of insurance product. However, in order to provide contrast of insurance products of the same type and improve the practicability of the evaluation method, it is preferable that different insurance products in the present embodiment refer to insurance products of the same type, such as child insurance or old care insurance.
In the embodiment, the guarantee or responsibility of the insurance product is quantified, and specifically, the percentage grade of each guarantee or responsibility is calculated to determine the quality of the guarantee or responsibility.
Specifically, the percentile rank calculation module 402 assigns the guarantees or responsibilities of the same rank of the same labeling type for different insurance products to the same group, and calculates the percentile of each guarantee or term in the same group.
Generally, the same dimension terms of the same type of insurance products, namely, the responsibilities and the contents of the guarantee of the same labeling type are basically the same and different, and the difference is generally in the size of the guarantee range, the amount of the guarantee or the severity of the conditions during reimbursement and the like. The same guarantee or responsibility of the insurance products of the same type are compared separately, so that a reference for a certain guarantee or responsibility can be provided for a user, and a reference is also provided for the quality of the subsequent calculation insurance products.
Specifically, in this embodiment, the percentage level calculation module 402 first counts the number of guarantees or responsibilities of all the same labeling types of the dimension, i.e. the number of samples NR. Then, a quality label such as a score or a grade comment such as best, worst, etc. is obtained from the label of the guarantee or the liability of the insurance product, and the grade of each guarantee or liability in its dimension is determined according to the quality such as the level of the score according to a preset grade setting rule, such as one of the A, B, C, D four grades in the above example.
The percentage grade calculation module 402 assigns guarantees or responsibilities with the same annotation type and quality grade to the same group, sorts actual annotation quality or quality of specific content in the same group, and assigns a grade R in the groupGAnd counting according to the number of samples of the guarantee or responsibility in the group to obtain the guarantee or responsibility in-group grade RGPercentile P ofG。
Further, the percentage rating calculation module 402 derives a percentage rating for each safeguard or liability based on the percentile and the number of samples of the insurance product.
Wherein, the percentage grade refers to the percentage of the number of times of the fraction lower than a certain preset fraction to the total number of times in a sequence arranged according to the size.
The specific percentage grade calculation module 402 calculates the percentage grade P by the following formulaR。
Wherein N is the total number of samples of the insurance product，cfLCumulative number of samples, P, for the level preceding the level for the guarantee or responsibility of the same groupGLIs the lower limit of percentile in the same group, i is the intra-group distance of percentile class, NRNumber of samples, P, for guarantee or responsibility of the same type of labelGPercentiles of the levels within a group for each guarantee or term within the same group.
The standard score calculating module 403 is used for calculating the standard score of the guarantee or responsibility by using the percentage grade of each guarantee or responsibility in the same group.
In a specific embodiment, the criterion score calculation module 403 calculates the criterion score T according to the following formula.
T＝50+10*Zpr。
Wherein Z isprThe corresponding standard scores in the normal distribution table are the percentage grades.
In other embodiments, if the original value of the quality of the insurance or liability of the insurance product, e.g., the score, is continuous, e.g., the average insurance claim age or the total incidence probability of the guaranteed illness. The standard score calculation module 403 may obtain the standard score T directly by calculating with the following formula:
wherein X is the original value of a sample of certain guarantee or liability, such as premium. Mu is the mean of the guarantee or liability samples in the same group, and sigma is the standard deviation of the samples, and for example, in the claims, the actual parameters of the insurance product A are 10 days, i.e., the original value of the samples is 10 days, the mean value of the claims days of all insurance products of the same type is 11 days, and the mean value of the samples is 11 days.
The evaluation score calculating module 404 is configured to perform weighted calculation on all the standard scores of guarantee or responsibility of the same insurance product according to a set proportion to obtain an evaluation score of the insurance product.
After obtaining the standard scores of all the guarantees or responsibilities of a certain insurance product, the evaluation score calculating module 404 weights the standard scores of all the guarantees or responsibilities according to the preset weighting proportion, and the evaluation scores of the insurance product are obtained after summing.
Because the data volume involved in evaluating each guarantee or responsibility is large, in this embodiment, the evaluation score calculation module 404 performs calculation and text expression in a vector manner, specifically as shown in the following formula:
After the evaluation score of the insurance product is obtained, the evaluation score is stored, so that the subsequent user can conveniently inquire and use the insurance product. In addition, in order to conveniently inquire the comparison condition of each dimension, namely the guarantee or responsibility of the same type, the percentage grade and the standard score of each guarantee or responsibility can be stored, so that a more comprehensive reference is provided for the user.
Different from the prior art, after the labeled insurance products are obtained, the guarantees or responsibilities with the same labeling type and quality grade of different insurance products are distributed to the same group, the percentage grade of each guarantee or responsibility in the same group is calculated, the standard score of the guarantee or responsibility is calculated by using the percentage grade, and the evaluation score of the insurance products is further obtained. Through the method for quantifying the responsibility or guarantee of the insurance products, all the insurance products can be reasonably evaluated to form reasonable comparison of all the insurance products, so that the purpose that the user can visually and simply know the advantages and disadvantages of various insurance products and can find the insurance product which is most suitable for the user to need is provided for the user.
Since the evaluation score of an insurance product is generally an assessment of the quality of the product, normally, the higher the quality, such as the higher the premium, the faster the claim settlement. But the premium corresponding to insurance products with higher quality is also very high, and for general families or users, the trend is that the insurance products which are more suitable for the users are searched.
In another embodiment, as shown in fig. 5, fig. 5 differs from fig. 4 in that the evaluation device of the insurance product further includes a cost/performance ratio calculation module 505. The cost performance calculation module 505 is configured to obtain the cost performance of the insurance product according to the evaluation score of the insurance product and the premium of the insurance product.
Specifically, the cost performance calculation module 505 calculates the cost performance C of the insurance product by the following formula:
wherein, IARIF is the premium and P is the evaluation score of the insurance product.
The insurance product cost performance is comprehensively calculated by combining the premium and the premium into the evaluation score of the insurance product, so that the user can find the insurance product suitable for the user at a glance, the user can spend the least funds, and the insurance product most suitable for the user is obtained.
Referring to fig. 6, fig. 6 is a schematic structural diagram of an embodiment of the intelligent system of the present application. The intelligent system is an intelligent customer service system or other intelligent terminals, network terminals, a PC and the like. The intelligent system 60 of this embodiment includes a human-computer interaction control circuit 602, and a processor 601 coupled to the human-computer interaction control circuit. A computer program executable on the processor 601. The processor 601, when executing the computer program, can implement the method for evaluating an insurance product according to any of the embodiments described in fig. 1 to 3 and the related text.
Referring to fig. 7, fig. 7 is a schematic structural diagram of a memory device according to an embodiment of the present application. The application also provides a structural schematic diagram of an implementation mode of the storage device. In this embodiment, the storage device 70 stores processor-executable computer instructions 71, and the computer instructions 71 are used for executing the method for evaluating an insurance product according to any one of the embodiments described in fig. 1 to 3 and the associated text.
The storage device 70 may be a medium that can store the computer instructions 71, such as a usb disk, a removable hard disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), a magnetic disk or an optical disk, or may be a server that stores the computer instructions, and the server may send the stored computer instructions 71 to another device for operation or may self-operate the stored computer instructions.
In the several embodiments provided in the present application, it should be understood that the disclosed method and apparatus may be implemented in other manners. For example, the above-described apparatus embodiments are merely illustrative, e.g., a unit or division of units is merely a logical division, and other divisions may be realized in practice, e.g., a plurality of units or components may be combined or integrated into another system, or some features may be omitted, or not executed. In addition, the shown or discussed mutual coupling or direct coupling or communication connection may be an indirect coupling or communication connection through some interfaces, devices or units, and may be in an electrical, mechanical or other form.
Units described as separate parts may or may not be physically separate, and parts displayed as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of network units. Some or all of the units can be selected according to actual needs to achieve the purpose of the embodiment.
In addition, functional units in the embodiments of the present application may be integrated into one processing unit, or each unit may exist alone physically, or two or more units may be integrated into one unit. The integrated unit can be realized in a form of hardware, and can also be realized in a form of a software functional unit.
The integrated unit, if implemented in the form of a software functional unit and sold or used as a stand-alone product, may be stored in a computer readable storage medium. Based on such understanding, the technical solution of the present application may be substantially implemented or contributed to by the prior art, or all or part of the technical solution may be embodied in a software product, which is stored in a storage medium and includes instructions for causing a computer device (which may be a personal computer, a server, a network device, or the like) or a processor (processor) to execute all or part of the steps of the method according to the embodiments of the present application. And the aforementioned storage medium includes: a U-disk, a removable hard disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), a magnetic disk or an optical disk, and other various media capable of storing program codes.
The above embodiments are merely examples and are not intended to limit the scope of the present disclosure, and all modifications, equivalents, and flow charts using the contents of the specification and drawings of the present disclosure or those directly or indirectly applied to other related technical fields are intended to be included in the scope of the present disclosure.
Claims (10)
1. An insurance product evaluation method, comprising:
acquiring the marked insurance product; the marked information comprises marks of types and qualities of various guarantees or responsibilities of the insurance product;
distributing guarantees or responsibilities with the same labeling type and quality grade of different insurance products to the same group, and calculating to obtain the percentage grade of each guarantee or responsibility in the same group;
calculating to obtain a standard score of each guarantee or responsibility in the same group by utilizing the percentage grade of each guarantee or responsibility;
and performing weighted calculation on all the standard scores of the guarantee or the liability of the same insurance product according to a set proportion to obtain the evaluation score of the insurance product.
2. The method according to claim 1, wherein the step of performing weighted calculation on all the standard scores of guarantee or liability of the same insurance product according to a set proportion to obtain the evaluation score of the insurance product further comprises:
and obtaining the cost performance of the insurance product according to the evaluation score of the insurance product and the premium of the insurance product.
3. The method according to claim 2, wherein the step of obtaining the cost performance of the insurance product based on the evaluation score of the insurance product and the premium and the amount of the insurance product comprises:
the cost performance C of the insurance product is calculated by the following formula (1),
wherein, IARIF is the premium and P is the evaluation score of the insurance product.
4. The evaluation method according to claim 1, wherein the step of assigning guarantees or responsibilities with the same labeling type and quality grade for different insurance products to the same group and calculating the percentage grade of each guarantee or responsibility in the same group comprises:
distributing guarantees or responsibilities of the same quality grade of the same labeling type of different insurance products to the same group, and calculating to obtain percentiles of grades of each guarantee or responsibilities in the same group;
deriving a percentile rating for each of the guarantees or accountability based on the percentile and the number of samples of the insurance product.
5. The method of claim 4, wherein said step of deriving said percentile rating for each safeguard or liability based on said percentile and said sample number of insurance products comprises:
the percentage grade information P is calculated by the following formula (2)R：
Wherein N is the total number of samples, cf, of the insurance productLCumulative number of samples, P, for a level preceding said level corresponding to said guarantee or liability of the same groupGLIs the lower limit of percentile in the same group, i is the group distance of the percentile class, NRNumber of samples, P, for guarantee or responsibility of the same type of labelGPercentiles of the levels within a group for each guarantee or term within the same group.
6. The method according to any one of claims 1 to 5, wherein the step of calculating the standard score of the security or liability using the percentage rating of each security or provision in the same group comprises:
the percentage grade information T is calculated by the following formula (3):
T＝50+10*Zpr(3)
wherein Z isprAnd the standard scores corresponding to the percentage grades in a normal distribution table are obtained.
7. The evaluation method according to claim 2, further comprising:
storing the percentage grade of each guarantee or responsibility, the standard score, the evaluation score of each insurance product and the cost performance;
receiving a query instruction sent by a user; wherein the inquiry instruction comprises insurance products to be inquired or the responsibility or guarantee of the insurance products;
and inquiring evaluation information related to the order insurance product or the responsibility or guarantee of the insurance product based on the order.
8. An evaluation device of insurance products is characterized by comprising an acquisition module, a percentage grade calculation module, a standard score calculation module and an evaluation score calculation module,
the acquisition module is used for acquiring the marked insurance products; the marked information comprises marks of types and qualities of various guarantees or responsibilities of the insurance product;
the percentage grade calculation module is used for distributing the guarantees or responsibilities with the same labeling type and quality grade of different insurance products to the same group and calculating the percentage grade of each guarantee or responsibility in the same group;
the standard score calculating module is used for calculating the standard score of the guarantee or the responsibility by utilizing the percentage grade of each guarantee or responsibility in the same group;
the evaluation score calculation module is used for carrying out weighted calculation on all the guarantee or responsibility standard scores of the same insurance product according to a set proportion to obtain the evaluation score of the insurance product.
9. An intelligent system, comprising a human-computer interaction control circuit, a processor and a computer program capable of running on the processor, wherein the processor executes the computer program to implement the method for evaluating an insurance product according to any one of claims 1 to 7.
10. A storage device having stored thereon program data which, when executed by a processor, implements a method of evaluating an insurance as claimed in any one of claims 1 to 7.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201811393307.7A CN111210245B (en) | 2018-11-21 | 2018-11-21 | Evaluation method and evaluation device for insurance product, intelligent system and storage device |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201811393307.7A CN111210245B (en) | 2018-11-21 | 2018-11-21 | Evaluation method and evaluation device for insurance product, intelligent system and storage device |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN111210245A true CN111210245A (en) | 2020-05-29 |
| CN111210245B CN111210245B (en) | 2023-04-18 |
Family
ID=70789264
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201811393307.7A Active CN111210245B (en) | 2018-11-21 | 2018-11-21 | Evaluation method and evaluation device for insurance product, intelligent system and storage device |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN111210245B (en) |
Citations (18)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20020111835A1 (en) * | 2000-11-06 | 2002-08-15 | Hele John C. R. | Underwriting insurance |
| US20050096944A1 (en) * | 2003-10-30 | 2005-05-05 | Ryan Shaun P. | Method, system and computer-readable medium useful for financial evaluation of risk |
| US20060053037A1 (en) * | 2004-09-08 | 2006-03-09 | Kendall Errol O | System for searching and solving for insurance products |
| US20080077509A1 (en) * | 2006-02-15 | 2008-03-27 | Allstate Insurance Company | Retail location services |
| US20080228549A1 (en) * | 2007-03-14 | 2008-09-18 | Harrison Michael J | Performance evaluation systems and methods |
| US20140207478A1 (en) * | 2013-01-23 | 2014-07-24 | Comparion Medical Analytics, Inc. | Physician composite quality scoring and rating methodology |
| US20150039352A1 (en) * | 2013-08-05 | 2015-02-05 | G.D. van Wagenen Financial Services, Inc. | System and method for blind-rating of risk to collateral in a secured transaction |
| US20150178849A1 (en) * | 2013-12-19 | 2015-06-25 | The Travelers Indemnity Company | Systems and methods for consultative insurance quotations |
| US20160125548A1 (en) * | 2014-10-31 | 2016-05-05 | ecoATM, Inc. | Methods and systems for facilitating processes associated with insurance services and/or other services for electronic devices |
| CN105894407A (en) * | 2014-10-24 | 2016-08-24 | 丁洁 | Method for evaluating learning ability development trend of students |
| US20170069035A1 (en) * | 2009-03-06 | 2017-03-09 | Marilyn C. Quinlan | Systems and methods for matching consumer requests with insurance underwriter appetites |
| CN106997541A (en) * | 2017-04-11 | 2017-08-01 | 新站保险代理股份有限公司 | A kind of method and system for insuring customer service quality evaluation |
| CN107562883A (en) * | 2017-09-04 | 2018-01-09 | 马上消费金融股份有限公司 | A kind of method and system of data syn-chronization |
| CN107578339A (en) * | 2017-09-11 | 2018-01-12 | 宁波市众鑫保网络技术有限公司 | A kind of method and apparatus of Insurance Analysis processing |
| CN107818492A (en) * | 2017-10-10 | 2018-03-20 | 平安科技（深圳）有限公司 | Products Show device, method and computer-readable recording medium |
| CN108335216A (en) * | 2018-01-12 | 2018-07-27 | 中国平安人寿保险股份有限公司 | A kind of insurance risk assessment method, apparatus, terminal device and storage medium |
| CN108510396A (en) * | 2017-06-23 | 2018-09-07 | 平安科技（深圳）有限公司 | It insures method, apparatus, computer equipment and the storage medium of verification |
| CN108734550A (en) * | 2018-04-28 | 2018-11-02 | 平安科技（深圳）有限公司 | Method, apparatus, equipment and the storage medium of propelling data |
-
2018
- 2018-11-21 CN CN201811393307.7A patent/CN111210245B/en active Active
Patent Citations (18)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20020111835A1 (en) * | 2000-11-06 | 2002-08-15 | Hele John C. R. | Underwriting insurance |
| US20050096944A1 (en) * | 2003-10-30 | 2005-05-05 | Ryan Shaun P. | Method, system and computer-readable medium useful for financial evaluation of risk |
| US20060053037A1 (en) * | 2004-09-08 | 2006-03-09 | Kendall Errol O | System for searching and solving for insurance products |
| US20080077509A1 (en) * | 2006-02-15 | 2008-03-27 | Allstate Insurance Company | Retail location services |
| US20080228549A1 (en) * | 2007-03-14 | 2008-09-18 | Harrison Michael J | Performance evaluation systems and methods |
| US20170069035A1 (en) * | 2009-03-06 | 2017-03-09 | Marilyn C. Quinlan | Systems and methods for matching consumer requests with insurance underwriter appetites |
| US20140207478A1 (en) * | 2013-01-23 | 2014-07-24 | Comparion Medical Analytics, Inc. | Physician composite quality scoring and rating methodology |
| US20150039352A1 (en) * | 2013-08-05 | 2015-02-05 | G.D. van Wagenen Financial Services, Inc. | System and method for blind-rating of risk to collateral in a secured transaction |
| US20150178849A1 (en) * | 2013-12-19 | 2015-06-25 | The Travelers Indemnity Company | Systems and methods for consultative insurance quotations |
| CN105894407A (en) * | 2014-10-24 | 2016-08-24 | 丁洁 | Method for evaluating learning ability development trend of students |
| US20160125548A1 (en) * | 2014-10-31 | 2016-05-05 | ecoATM, Inc. | Methods and systems for facilitating processes associated with insurance services and/or other services for electronic devices |
| CN106997541A (en) * | 2017-04-11 | 2017-08-01 | 新站保险代理股份有限公司 | A kind of method and system for insuring customer service quality evaluation |
| CN108510396A (en) * | 2017-06-23 | 2018-09-07 | 平安科技（深圳）有限公司 | It insures method, apparatus, computer equipment and the storage medium of verification |
| CN107562883A (en) * | 2017-09-04 | 2018-01-09 | 马上消费金融股份有限公司 | A kind of method and system of data syn-chronization |
| CN107578339A (en) * | 2017-09-11 | 2018-01-12 | 宁波市众鑫保网络技术有限公司 | A kind of method and apparatus of Insurance Analysis processing |
| CN107818492A (en) * | 2017-10-10 | 2018-03-20 | 平安科技（深圳）有限公司 | Products Show device, method and computer-readable recording medium |
| CN108335216A (en) * | 2018-01-12 | 2018-07-27 | 中国平安人寿保险股份有限公司 | A kind of insurance risk assessment method, apparatus, terminal device and storage medium |
| CN108734550A (en) * | 2018-04-28 | 2018-11-02 | 平安科技（深圳）有限公司 | Method, apparatus, equipment and the storage medium of propelling data |
Non-Patent Citations (2)
| Title |
|---|
| 张笑天: "美国医疗保险制度现状与借鉴" * |
| 陈迪红;贾锐锐;: "模糊数学在环境污染责任保险费率厘定中的运用" * |
Also Published As
| Publication number | Publication date |
|---|---|
| CN111210245B (en) | 2023-04-18 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN108764705A (en) | A kind of data quality accessment platform and method | |
| CN103778235A (en) | Method and device for processing commodity assessment information | |
| CN108734405A (en) | A kind of data value Evaluation Platform and method | |
| CN111178708B (en) | Target scoring method and device, computer-readable storage medium and electronic equipment | |
| CN107886241B (en) | Resource analysis method, device, medium, and electronic apparatus | |
| CN111612581A (en) | Method, device and equipment for recommending articles and storage medium | |
| CN110659926A (en) | Data value evaluation system and method | |
| CN110019774B (en) | Label distribution method, device, storage medium and electronic device | |
| CN113761334A (en) | Visual recommendation method, device, equipment and storage medium | |
| CN111756837A (en) | Information pushing method, device, equipment and computer readable storage medium | |
| Drieskens et al. | Stochastic projection for large individual losses | |
| CN108764995A (en) | A kind of data value determines system and method | |
| Jayathunga et al. | Usability recommendations for an academic website: a case study | |
| CN111859946B (en) | Method and apparatus for ordering comments and machine-readable storage medium | |
| CN111210245B (en) | Evaluation method and evaluation device for insurance product, intelligent system and storage device | |
| KR101853555B1 (en) | SW Market Information Service System | |
| CN108038735A (en) | Data creation method and device | |
| US20110208738A1 (en) | Method for Determining an Enhanced Value to Keywords Having Sparse Data | |
| JP6655698B1 (en) | Information processing apparatus, information processing method, and information processing program | |
| López-Mendoza et al. | Factors of technology transfer and its relation to success | |
| CN109344386B (en) | Text content identification method, apparatus, device and computer readable storage medium | |
| Adamkolo et al. | Determinants of information technology adoption among Malaysian farm-based enterprises. | |
| CN112529628A (en) | Client label generation method and device, computer equipment and storage medium | |
| CN107240019A (en) | Assess customer service preference methods, customer investment risk partiality method and device | |
| CN111401935A (en) | Resource allocation method, device and storage medium |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| GR01 | Patent grant | ||
| GR01 | Patent grant |