CN111309373A - Method for flexibly configuring person authority, work handling process and role - Google Patents
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Abstract
The invention provides a method for flexibly configuring the authority, work handling flow and role of a character, which comprises the following steps: allocating a preset task to a target object; selecting a sub-option associated with a preset task from preset options in a preset interface, wherein the preset options comprise: any one or more of authority options, role options and process options; and configuring the selected sub-options and the target object to obtain a configuration result. The configuration with the target object is realized by selecting the sub-option, so that the flexibility of the configuration is high.
Description
Technical Field
The invention relates to the technical field of information configuration, in particular to a method for flexibly configuring character authority, work handling flow and roles.
Background
At present, a common file configuration method is that a programmer modifies a previously set file code and implants the modified file code into a configuration library to realize new configuration of a file, but the configuration process of the file configuration method is professional, and in the new file configuration process, due to the need of modifying the code, part of time is wasted, and due to the uniqueness of the program code, the flexibility of the configuration is not high.
Disclosure of Invention
The invention provides a method for flexibly configuring the authority, the work flow and the role of a character, which is used for realizing the configuration with a target object by selecting a sub-option and can ensure that the flexibility of the configuration is high.
The embodiment of the invention provides a method for flexibly configuring the authority, the work handling process and the role of a character, which comprises the following steps:
allocating a preset task to a target object;
selecting a sub-option associated with a preset task from preset options in a preset interface, wherein the preset options comprise: any one or more of authority options, role options and process options;
and configuring the selected sub-options and the target object to obtain a configuration result.
In a possible implementation manner, the step of assigning the preset task to the target object includes:
determining a target attribute of the target object;
determining task attributes of the preset tasks;
according to a pre-trained attribute matching model, matching the determined target attribute and task attribute, and judging whether the matching value after matching is greater than a preset value;
if so, distributing the preset task to the target object;
otherwise, acquiring a next target object in a pre-stored object database, and performing corresponding matching processing on the next target object and the task attribute until a corresponding matching value is larger than a preset value.
In a possible implementation manner, the step of selecting a sub-option associated with a preset task from preset options in a preset interface includes:
displaying sub-options related to the preset task in a preset interface for a user to select;
and receiving the sub-option selected by the user.
In a possible implementation manner, the step of selecting a sub-option associated with the preset task from preset options in the preset interface further includes:
determining the option type of a preset option in the preset interface;
determining a category weight value of the option category based on the preset task, and determining a final option category according to the category weight value, wherein the final option category comprises: any one or more of authority option type, role option type and process option type;
acquiring a first weight value of each sub-option in the same category in the final option category;
performing first priority sorting on the first weight value of each sub-option in the same category, and performing first marking on the first preset number of sub-options in the first priority sorting result;
when the final option type is a first type, selecting a sub option for first marking in the first type;
when the final option type is a second type, acquiring all sub-items subjected to first marking, and calculating second weight values of all the sub-items subjected to the first marking based on the target object;
performing second priority sorting on all the calculated second weight values, and performing second marking on the first preset number of sub-options in the second priority sorting result;
and when the final option category is a second category, selecting a sub-option in the second category for second marking.
In a possible implementation manner, the configuring the selected sub-option with the target object, and the step of obtaining a configuration result includes:
determining a first sexual parameter of the selected sub-option;
correcting the first sexual parameter to obtain a second sexual parameter after correction;
according to the second sexual parameter, realizing the configuration with the target object and obtaining a configuration result;
wherein, in the process of correcting the first sexual parameter, the method comprises the following steps:
determining parameter indexes to be determined included in the first sexual parameters, determining whether a determination index value corresponding to each parameter index to be determined is in a corresponding preset index range, and if so, reserving the parameter indexes to be determined;
otherwise, performing first correction processing on the parameter index to be determined, and determining whether the corrected index value after the first correction processing is within a preset correction range, if so, reserving the parameter index to be determined;
otherwise, determining the index correlation values of the parameter index to be judged and the remaining parameter index to be judged in the sub-options, and performing second correction processing on the index correlation values to obtain correction correlation values;
if the corrected correlation value is greater than or equal to a preset correlation value, reserving the parameter index to be judged;
otherwise, rejecting the parameter indexes to be judged;
and acquiring all the reserved parameter indexes to be judged, and forming a second sexual parameter.
In a possible implementation manner, the process of constructing an attribute matching model for performing matching processing on the determined target attribute and the task attribute according to a pre-trained attribute matching model includes:
acquiring a target data stream of the target object, and performing first training processing on the target data stream according to a deep learning model to obtain a first learning model;
meanwhile, dividing the acquired target data stream into a plurality of first data stream frames based on a time scaling axis, acquiring first correction values between adjacent first data stream frames, and performing second training processing on all the acquired first correction values according to the first learning model to acquire a second learning model;
acquiring a task data stream of the preset task, and performing third training processing on the task data stream according to the second learning model to obtain a third learning model;
meanwhile, based on a time scaling axis, dividing the acquired task data stream into a plurality of second data stream frames, acquiring second correction values between adjacent second data stream frames, and performing fourth training processing on all the acquired second correction values according to the third learning model to acquire a fourth learning model, wherein the fourth learning model is the attribute matching model.
In one possible implementation manner, after obtaining the attribute matching model, the method further includes:
checking the obtained attribute matching model, performing quality evaluation on a checking result of the attribute matching model based on a pre-stored quality evaluation database, and dividing the attribute matching model into a plurality of grade region blocks according to the quality evaluation result;
and marking and displaying the divided quality grade region blocks by using preset colors.
In a possible implementation manner, the displaying, in a preset interface, a sub-option associated with the preset task for a user to select includes:
establishing a guide library related to the preset options;
providing the user with a reservation operation according to the guide library;
establishing a guide tree according to the reserved operation result of the user;
performing preset modification processing on each branch node in the guide tree to generate a final guide tree;
and the user selects the branch node based on the final guide tree displayed on a preset interface, wherein the branch node is a sub-option.
In a possible implementation manner, configuring the selected sub-option with the target object, and obtaining a configuration result, the method further includes: determining the validity of the selected sub-option, wherein the step of determining the validity comprises the following steps:
recording the option types of the selected sub-options based on a recording module corresponding to a preset interface, and respectively determining the option number of the sub-options contained in each option type;
carrying out correlation processing on M sub-options in the current option category according to a formula (1) to obtain actual correlation degree Si；
wherein ,SiRepresenting the actual relevance of the ith sub-option and the rest of sub-options in the current option category; i represents the ith sub-option in the M sub-options in the current option category; x is the number ofiAn attribute value representing the ith sub-option in the current option category; x is the number ofjAn attribute value representing the jth sub-option in the current option category; p is a radical ofiAn attribute modification value representing the ith sub-option in the current option category; p is a radical ofjAn attribute modification value representing a jth sub-option in the current option category; wMRepresenting the correlation number between the current option type and the other option types, α and β are constants, wherein, α is in the value range of 0,1]β has a value range of [0,1 ]](ii) a Wherein i is 1,2,3.. M; m, and j ≠ i;
the actual correlation S obtained based on the formula (1) is corrected according to the formula (2)iCarrying out verification processing and obtaining a verification value Y of the ith sub-optioni；
Wherein q represents the total index number of the ith sub-option; l represents the l index of the q total indexes; deltalIndex verification representing the l index in the i sub-optionA parameter;
represents the average verification parameter in the ith sub-option, an
The value range of (1) is (0); max { } denotes the maximum function;
judging the verification value Y of the ith sub-optioniIf the current option type is larger than the preset value Y, reserving the ith sub-option in the current option type, and if not, rejecting the ith sub-option in the current option type;
meanwhile, judging that the sub-options reserved in the current option category are legal, and judging the legality of the sub-options in the next option category until the legality of the sub-options in all the option categories is judged to be finished;
and obtaining legal sub-options in all the option types to realize the configuration with the target object.
Additional features and advantages of the invention will be set forth in the description which follows, and in part will be obvious from the description, or may be learned by practice of the invention. The objectives and other advantages of the invention will be realized and attained by the structure particularly pointed out in the written description and claims hereof as well as the appended drawings.
The technical solution of the present invention is further described in detail by the accompanying drawings and embodiments.
Drawings
The accompanying drawings, which are included to provide a further understanding of the invention and are incorporated in and constitute a part of this specification, illustrate embodiments of the invention and together with the description serve to explain the principles of the invention and not to limit the invention. In the drawings:
FIG. 1 is a flowchart of a method for flexibly configuring personal rights, work flow and roles in an embodiment of the present invention.
Detailed Description
The preferred embodiments of the present invention will be described in conjunction with the accompanying drawings, and it will be understood that they are described herein for the purpose of illustration and explanation and not limitation.
The embodiment of the invention provides a method for flexibly configuring the authority, the work flow and the role of a person, which comprises the following steps as shown in figure 1:
step 1: allocating a preset task to a target object;
step 2: selecting a sub-option associated with a preset task from preset options in a preset interface, wherein the preset options comprise: any one or more of authority options, role options and process options;
and step 3: and configuring the selected sub-options and the target object to obtain a configuration result.
The preset interface is a special configuration interface, and various options, such as permission options of a person and role options of the person, are displayed in the configuration interface; configuration sub-process options of the office process, and the like;
the administrator can select among the options according to different tasks, so as to configure the authority and the role of the user, for example, the authority of the user with the role A is configured to be the administrator and the like;
for the business process, the specific matters, such as the process of one thing, can be used, and the administrator configures the business process by selecting the corresponding sub-process option; the method has the advantages that the configuration process is flexible, and the administrator can simply complete configuration through options for everyone and everything without editing and changing codes.
The target object may be a task, a process flow, etc.
The configuration result is as follows, taking the business process as an example: the result after configuring the sub-process for the business process is as follows: all sub-processes are displayed in the process framework in order to give the process a complete execution cycle or to give the process unique characteristics.
After the person's rights and roles are assigned, the process flow to be executed by the person may be assigned, for example: virtual characters, such as game characters, are included with the privileges, characters, and transaction flow.
For example: for example, the choice of the role in royal glory is: the permission options are as follows: the main attack is the middle way.
The three options of the permission option, the role option and the flow option can also respectively correspond to the following embodiments:
the first embodiment is as follows:
allocating a preset task to a target task;
selecting a permission option associated with the target task in a preset interface;
and configuring the selected permission option and the target object to obtain a configuration result.
Example two:
allocating a preset task to a target task;
selecting a role option associated with the target task in a preset interface;
and configuring the selected role option and the target object to obtain a configuration result.
Example three:
allocating a preset task to a work handling process;
selecting a flow option associated with a work flow in a preset interface;
and configuring the selected flow options and the office flow to obtain a configuration result.
The beneficial effects of the above technical scheme are: the configuration with the target object is realized by selecting the sub-option, so that the flexibility of the configuration is high.
The embodiment of the invention provides a method for flexibly configuring the authority, the work process and the role of a character, wherein the step of allocating a preset task to a target object comprises the following steps:
determining a target attribute of the target object;
determining task attributes of the preset tasks;
according to a pre-trained attribute matching model, matching the determined target attribute and task attribute, and judging whether the matching value after matching is greater than a preset value;
if so, distributing the preset task to the target object;
otherwise, acquiring a next target object in a pre-stored object database, and performing corresponding matching processing on the next target object and the task attribute until a corresponding matching value is larger than a preset value.
For the above embodiment: when the target object is a game character and the preset task is continuous output fighting capacity, determining that the target attribute of the game character is a virtual character with female gender; determining that the task attribute of the continuous output fighting capacity is strong in output capacity;
matching and judging the virtual character and the strong output capacity of the female according to a pre-trained attribute matching model; and the strong output ability is distributed to the virtual character of the woman;
the matching range of the preset value is 80% or more.
The beneficial effects of the above technical scheme are: through attribute matching, a foundation is conveniently provided for flexibility configuration, and through attribute matching, the workload of later-stage flexibility configuration can be reduced, and the efficiency of flexibility configuration is improved.
The embodiment of the invention provides a method for flexibly configuring the authority, the work flow and the role of a person, wherein the step of selecting a sub-option associated with a preset task from preset options in a preset interface comprises the following steps:
displaying sub-options related to the preset task in a preset interface for a user to select;
and receiving the sub-option selected by the user.
The user may be an administrator, and the sub-options refer to, for example, several sub-options existing in the permission option, such as: defense authority, attack authority, and the like.
The beneficial effects of the above technical scheme are: by setting the sub-options in the preset interface, the user can independently select the preset interface, the independent selectivity of the user is improved, and the configuration flexibility is further improved.
The embodiment of the invention provides a method for flexibly configuring the authority, the work flow and the role of a person, wherein the step of selecting a sub-option associated with a preset task from preset options in a preset interface further comprises the following steps:
determining the option type of a preset option in the preset interface;
determining a category weight value of the option category based on the preset task, and determining a final option category according to the category weight value, wherein the final option category comprises: any one or more of authority option type, role option type and process option type;
acquiring a first weight value of each sub-option in the same category in the final option category;
performing first priority sorting on the first weight value of each sub-option in the same category, and performing first marking on the first preset number of sub-options in the first priority sorting result;
when the final option type is a first type, selecting a sub option for first marking in the first type;
when the final option type is a second type, acquiring all sub-items subjected to first marking, and calculating second weight values of all the sub-items subjected to the first marking based on the target object;
performing second priority sorting on all the calculated second weight values, and performing second marking on the first preset number of sub-options in the second priority sorting result;
and when the final option category is a second category, selecting a sub-option in the second category for second marking.
The determining of the final option category according to the category weight value may be performed according to a magnitude order of the category weight values, for example, selecting the final option category with the largest category weight value, where the largest selection weight value may correspond to one category or multiple categories; wherein, the first type is only one type in the final option type, and the second type comprises two or more types in the final option type;
setting that each category has the same number of sub-options, and the sub-option of the first mark can be a sub-option with a value for highlighting, and the first mark refers to the front preset number of sub-options in all sub-items arranged according to the arrangement sequence in the same category, wherein the front preset number can be the first n sorted by the first priority, and n is a positive integer;
in the second category, the second weight is calculated for all sub-items of the first label, for example, when the second category is 2 categories, the number of all sub-items of the first label is 2n, and the first n number of the 2n numbers after the second priority ordering is labeled by the second.
The beneficial effects of the above technical scheme are: based on the fact that the user selects the sub-options on the preset interface, the intelligent selection method further improves the intelligent selection of the user.
The embodiment of the invention provides a method for flexibly configuring the authority, the work flow and the role of a character, wherein the step of configuring the selected sub-option and the target object to obtain the configuration result comprises the following steps:
determining a first sexual parameter of the selected sub-option;
correcting the first sexual parameter to obtain a second sexual parameter after correction;
according to the second sexual parameter, realizing the configuration with the target object and obtaining a configuration result;
wherein, in the process of correcting the first sexual parameter, the method comprises the following steps:
determining parameter indexes to be determined included in the first sexual parameters, determining whether a determination index value corresponding to each parameter index to be determined is in a corresponding preset index range, and if so, reserving the parameter indexes to be determined;
otherwise, performing first correction processing on the parameter index to be determined, and determining whether the corrected index value after the first correction processing is within a preset correction range, if so, reserving the parameter index to be determined;
otherwise, determining the index correlation values of the parameter index to be judged and the remaining parameter index to be judged in the sub-options, and performing second correction processing on the index correlation values to obtain correction correlation values;
if the corrected correlation value is greater than or equal to a preset correlation value, reserving the parameter index to be judged;
otherwise, rejecting the parameter indexes to be judged;
and acquiring all the reserved parameter indexes to be judged, and forming a second sexual parameter.
The first sexual parameter of the sub-option refers to a defense parameter in the defense authority sub-option, for example, and the defense parameter includes a plurality of indexes, such as: physical defense indexes, magic defense indexes, and the like;
the parameter indexes to be judged can be physical defense indexes, magic defense indexes and the like;
the determination index value is, for example, a physical defense value of the physical defense index, and determines whether the physical defense value is within a preset index range, for example: the physical defense value is 12000, and the corresponding preset index range is as follows: 10000-;
performing first correction processing on the physical defense index finger, determining whether the physical defense index finger after the first correction processing is in a physical defense range, and if so, reserving the physical defense index finger;
the first modification processing is, for example, to modify data that can affect the physical defense index in the physical defense index, such as to increase the damage tolerance of the virtual character;
determining index correlation values of the physical defense indexes and the magic defense indexes in the sub-options, and performing second correction processing on the index correlation values to obtain corrected correlation values;
the second correction processing is to remove, for example, relevant error data in the physical defense index and the magic defense index to obtain a correction correlation value, where the index correlation value is a correlation between the physical defense index and the magic defense index;
the predetermined correlation value is generally higher than 80%;
and acquiring the reserved physical defense index and the magic defense index, and forming a second sexual parameter, wherein the second sexual parameter is the corrected defense parameter.
The beneficial effects of the above technical scheme are: the accuracy of the sub-options is improved by correcting the parameters in the sub-options twice, meanwhile, the indexes lower than the preset correlation value are eliminated, the interference of irrelevant data on the subsequent automatic selection of the sub-options is reduced, the intellectualization and the precision of the selection are further improved, and the high efficiency and the flexibility of the selection configuration are effectively improved.
The embodiment of the invention provides a method for flexibly configuring the authority, the work flow and the role of a character, wherein the construction process of an attribute matching model for matching the determined target attribute and the task attribute according to a pre-trained attribute matching model comprises the following steps:
acquiring a target data stream of the target object, and performing first training processing on the target data stream according to a deep learning model to obtain a first learning model;
meanwhile, dividing the acquired target data stream into a plurality of first data stream frames based on a time scaling axis, acquiring first correction values between adjacent first data stream frames, and performing second training processing on all the acquired first correction values according to the first learning model to acquire a second learning model;
acquiring a task data stream of the preset task, and performing third training processing on the task data stream according to the second learning model to obtain a third learning model;
meanwhile, based on a time scaling axis, dividing the acquired task data stream into a plurality of second data stream frames, acquiring second correction values between adjacent second data stream frames, and performing fourth training processing on all the acquired second correction values according to the third learning model to acquire a fourth learning model, wherein the fourth learning model is the attribute matching model.
The time scaling axis is a time axis for acquiring the target data stream, and determines data corresponding to the target data stream in each frame according to the time axis, wherein the frame is a data stream frame and contains the data.
The training of the first correction value and the second correction value is to make up for the defects of the learning model and further optimize the learning model.
The beneficial effects of the above technical scheme are: the accuracy of the training model identification is improved by obtaining a first correction value between adjacent first data stream frames and a second correction value between adjacent second data stream frames, and meanwhile, a training data sample is provided for training of the training model by respectively obtaining a target data stream and a task data stream, so that the matching efficiency is improved, and the flexibility of configuration is optimized.
The embodiment of the invention provides a method for flexibly configuring the character authority, the work handling process and the role, which further comprises the following steps after an attribute matching model is obtained:
checking the obtained attribute matching model, performing quality evaluation on a checking result of the attribute matching model based on a pre-stored quality evaluation database, and dividing the attribute matching model into a plurality of grade region blocks according to the quality evaluation result;
and marking and displaying the divided quality grade region blocks by using preset colors.
The quality evaluation database is used for determining whether the quality grades of the attribute matching models are consistent after the attribute matching models are optimized, and for determining the quality grade of each area block by dividing the attribute matching models into the area blocks and marking the preset colors, the quality of the area blocks can be effectively distinguished.
The beneficial effects of the above technical scheme are: the attribute matching model is checked, so that the accuracy of the model and the recognition accuracy are further determined, the quality grades existing in the model are effectively marked, and the quality of the region blocks is effectively distinguished by marking the preset colors.
The embodiment of the invention provides a method for flexibly configuring the authority, the work process and the role of a person, wherein the process of displaying the sub-options related to the preset task in a preset interface for a user to select comprises the following steps:
establishing a guide library related to the preset options;
providing the user with a reservation operation according to the guide library;
establishing a guide tree according to the reserved operation result of the user;
performing preset modification processing on each branch node in the guide tree to generate a final guide tree;
and the user selects the branch node based on the final guide tree displayed on a preset interface, wherein the branch node is a sub-option.
The corresponding sub-options are selected on the preset interface, so that a guide library is established for effectively guiding a user, wherein the guide tree is established by reserving parts such as the preset options selected on the basis of the guide library;
each branch node in the guide tree is subjected to preset modification processing to generate a final guide tree, so as to ensure that the content in each branch node is modified and ensure the accuracy of the content, for example: modifying parameters of physical attack sub-options in the permission options;
the preset modification processing is to modify parameters in the physical attack sub-option;
and the user selects branch nodes based on the final guide tree displayed on the preset interface, the branch nodes are sub-options, the final guide tree comprises a plurality of branch nodes, and the branch nodes are subjected to preset correction processing.
The beneficial effects of the above technical scheme are: the method comprises the steps of establishing a guide library, performing reservation operation, establishing a guide tree, and performing preset modification processing on branch nodes in the guide tree, so that the accuracy of the guide tree is improved, the accuracy of the modified guide tree is facilitated, and a user can conveniently select the branch nodes in the final guide tree based on a preset interface.
The embodiment of the invention provides a method for flexibly configuring the authority, the work flow and the role of a character, which configures the selected sub-options and the target object, and further comprises the following steps in the process of obtaining a configuration result: determining the validity of the selected sub-option, wherein the step of determining the validity comprises the following steps:
recording the option types of the selected sub-options based on a recording module corresponding to a preset interface, and respectively determining the option number of the sub-options contained in each option type;
carrying out correlation processing on M sub-options in the current option category according to a formula (1) to obtain actual correlation degree Si；
wherein ,SiRepresenting the actual relevance of the ith sub-option and the rest of sub-options in the current option category; i represents the ith sub-option in the M sub-options in the current option category; x is the number ofiAn attribute value representing the ith sub-option in the current option category; x is the number ofjAn attribute value representing the jth sub-option in the current option category; p is a radical ofiAn attribute modification value representing the ith sub-option in the current option category; p is a radical ofjAn attribute modification value representing a jth sub-option in the current option category; wMRepresenting the correlation number between the current option type and the other option types, α and β are constants, wherein, α is in the value range of 0,1]β has a value range of [0,1 ]](ii) a Wherein i is 1,2,3.. M; m, and j ≠ i;
the option types of the sub-options can be a permission option type, a role option type and a process option type;
the actual correlation S obtained based on the formula (1) is corrected according to the formula (2)iCarrying out verification processing and obtaining a verification value Y of the ith sub-optioni；
Wherein q represents the total index number of the ith sub-option; l represents the l index of the q total indexes; deltalAn index verification parameter representing an l index in the i sub-option;
represents the average verification parameter in the ith sub-option, an
The value range of (1) is (0); max { } denotes the maximum function;
judging the verification value Y of the ith sub-optioniIf the current option type is larger than the preset value Y, reserving the ith sub-option in the current option type, and if not, rejecting the ith sub-option in the current option type;
meanwhile, judging that the sub-options reserved in the current option category are legal, and judging the legality of the sub-options in the next option category until the legality of the sub-options in all the option categories is judged to be finished;
and obtaining legal sub-options in all the option types to realize the configuration with the target object.
The beneficial effects of the above technical scheme are: the configuration efficiency of the sub-options and the target object is improved by determining the legality of the sub-options, wherein the relevance between the sub-options and other sub-options in the same category is determined by performing relevant processing on the sub-options, so that the reliability of the sub-options in configuration is ensured, the validity of the sub-options reserved is judged by performing verification processing on the sub-options, and the configuration accuracy and efficiency are improved.
It will be apparent to those skilled in the art that various changes and modifications may be made in the present invention without departing from the spirit and scope of the invention. Thus, if such modifications and variations of the present invention fall within the scope of the claims of the present invention and their equivalents, the present invention is also intended to include such modifications and variations.
Claims (9)
1. A method for flexibly configuring the authority, the work handling process and the role of a person is characterized by comprising the following steps:
allocating a preset task to a target object;
selecting a sub-option associated with a preset task from preset options in a preset interface, wherein the preset options comprise: any one or more of authority options, role options and process options;
and configuring the selected sub-options and the target object to obtain a configuration result.
2. The method of claim 1, wherein the step of assigning the pre-set task to the target object comprises:
determining a target attribute of the target object;
determining task attributes of the preset tasks;
according to a pre-trained attribute matching model, matching the determined target attribute and task attribute, and judging whether the matching value after matching is greater than a preset value;
if so, distributing the preset task to the target object;
otherwise, acquiring a next target object in a pre-stored object database, and performing corresponding matching processing on the next target object and the task attribute until a corresponding matching value is larger than a preset value.
3. The method of claim 1, wherein the step of selecting a sub-option associated with a preset task among preset options in a preset interface comprises:
displaying sub-options related to the preset task in a preset interface for a user to select;
and receiving the sub-option selected by the user.
4. The method of claim 3, wherein the step of selecting a sub-option associated with a preset task among preset options in a preset interface further comprises:
determining the option type of a preset option in the preset interface;
determining a category weight value of the option category based on the preset task, and determining a final option category according to the category weight value, wherein the final option category comprises: any one or more of authority option type, role option type and process option type;
acquiring a first weight value of each sub-option in the same category in the final option category;
performing first priority sorting on the first weight value of each sub-option in the same category, and performing first marking on the first preset number of sub-options in the first priority sorting result;
when the final option type is a first type, selecting a sub option for first marking in the first type;
when the final option type is a second type, acquiring all sub-items subjected to first marking, and calculating second weight values of all the sub-items subjected to the first marking based on the target object;
performing second priority sorting on all the calculated second weight values, and performing second marking on the first preset number of sub-options in the second priority sorting result;
and when the final option category is a second category, selecting a sub-option in the second category for second marking.
5. The method of claim 1, wherein the configuring the selected sub-option with the target object, the obtaining a configuration result comprising:
determining a first sexual parameter of the selected sub-option;
correcting the first sexual parameter to obtain a second sexual parameter after correction;
according to the second sexual parameter, realizing the configuration with the target object and obtaining a configuration result;
wherein, in the process of correcting the first sexual parameter, the method comprises the following steps:
determining parameter indexes to be determined included in the first sexual parameters, determining whether a determination index value corresponding to each parameter index to be determined is in a corresponding preset index range, and if so, reserving the parameter indexes to be determined;
otherwise, performing first correction processing on the parameter index to be determined, and determining whether the corrected index value after the first correction processing is within a preset correction range, if so, reserving the parameter index to be determined;
otherwise, determining the index correlation values of the parameter index to be judged and the remaining parameter index to be judged in the sub-options, and performing second correction processing on the index correlation values to obtain correction correlation values;
if the corrected correlation value is greater than or equal to a preset correlation value, reserving the parameter index to be judged;
otherwise, rejecting the parameter indexes to be judged;
and acquiring all the reserved parameter indexes to be judged, and forming a second sexual parameter.
6. The method of claim 2, wherein the constructing the attribute matching model in the matching process of the determined target attribute and task attribute according to the pre-trained attribute matching model comprises:
acquiring a target data stream of the target object, and performing first training processing on the target data stream according to a deep learning model to obtain a first learning model;
meanwhile, dividing the acquired target data stream into a plurality of first data stream frames based on a time scaling axis, acquiring first correction values between adjacent first data stream frames, and performing second training processing on all the acquired first correction values according to the first learning model to acquire a second learning model;
acquiring a task data stream of the preset task, and performing third training processing on the task data stream according to the second learning model to obtain a third learning model;
meanwhile, based on a time scaling axis, dividing the acquired task data stream into a plurality of second data stream frames, acquiring second correction values between adjacent second data stream frames, and performing fourth training processing on all the acquired second correction values according to the third learning model to acquire a fourth learning model, wherein the fourth learning model is the attribute matching model.
7. The method of claim 6, after obtaining the attribute matching model, further comprising:
checking the obtained attribute matching model, performing quality evaluation on a checking result of the attribute matching model based on a pre-stored quality evaluation database, and dividing the attribute matching model into a plurality of grade region blocks according to the quality evaluation result;
and marking and displaying the divided quality grade region blocks by using preset colors.
8. The method of claim 3, wherein displaying the sub-options associated with the preset task in the preset interface for selection by the user comprises:
establishing a guide library related to the preset options;
providing the user with a reservation operation according to the guide library;
establishing a guide tree according to the reserved operation result of the user;
performing preset modification processing on each branch node in the guide tree to generate a final guide tree;
and the user selects the branch node based on the final guide tree displayed on a preset interface, wherein the branch node is a sub-option.
9. The method of claim 1, wherein the configuring the selected sub-option with the target object, and obtaining the configuration result further comprises: determining the validity of the selected sub-option, wherein the step of determining the validity comprises the following steps:
recording the option types of the selected sub-options based on a recording module corresponding to a preset interface, and respectively determining the option number of the sub-options contained in each option type;
carrying out correlation processing on M sub-options in the current option category according to a formula (1) to obtain actual correlation degree Si；
wherein ,SiRepresenting the actual relevance of the ith sub-option and the rest of sub-options in the current option category; i represents the ith sub-option in the M sub-options in the current option category; x is the number ofiAn attribute value representing the ith sub-option in the current option category; x is the number ofjAn attribute value representing the jth sub-option in the current option category; p is a radical ofiAn attribute modification value representing the ith sub-option in the current option category; p is a radical ofjAn attribute modification value representing a jth sub-option in the current option category; wMRepresenting the correlation number between the current option type and the other option types, α and β are constants, wherein, α is in the value range of 0,1]β has a value range of [0,1 ]](ii) a Wherein i is 1,2,3.. M; m, and j ≠ i;
the actual correlation S obtained based on the formula (1) is corrected according to the formula (2)iCarrying out verification processing and obtaining a verification value Y of the ith sub-optioni；
Wherein q represents the total index number of the ith sub-option; l represents the l index of the q total indexes; deltalAn index verification parameter representing an l index in the i sub-option;
represents the average verification parameter in the ith sub-option, an
The value range of (1) is (0); max { } denotes the maximum function;
judging the verification value Y of the ith sub-optioniIf the current option type is larger than the preset value Y, reserving the ith sub-option in the current option type, and if not, rejecting the ith sub-option in the current option type;
meanwhile, judging that the sub-options reserved in the current option category are legal, and judging the legality of the sub-options in the next option category until the legality of the sub-options in all the option categories is judged to be finished;
and obtaining legal sub-options in all the option types to realize the configuration with the target object.
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