CN112632923A - Formula model solving editor based on multi-branch tree - Google Patents
Formula model solving editor based on multi-branch tree Download PDFInfo
- Publication number
- CN112632923A CN112632923A CN202110012312.4A CN202110012312A CN112632923A CN 112632923 A CN112632923 A CN 112632923A CN 202110012312 A CN202110012312 A CN 202110012312A CN 112632923 A CN112632923 A CN 112632923A
- Authority
- CN
- China
- Prior art keywords
- estimation
- module
- calculation
- measurement
- management module
- 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
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F40/00—Handling natural language data
- G06F40/10—Text processing
- G06F40/166—Editing, e.g. inserting or deleting
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F17/00—Digital computing or data processing equipment or methods, specially adapted for specific functions
- G06F17/10—Complex mathematical operations
- G06F17/17—Function evaluation by approximation methods, e.g. inter- or extrapolation, smoothing, least mean square method
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F30/00—Computer-aided design [CAD]
- G06F30/20—Design optimisation, verification or simulation
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F40/00—Handling natural language data
- G06F40/10—Text processing
- G06F40/166—Editing, e.g. inserting or deleting
- G06F40/186—Templates
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F40/00—Handling natural language data
- G06F40/20—Natural language analysis
- G06F40/205—Parsing
- G06F40/226—Validation
Abstract
The invention discloses a formula model solving editor based on a multi-branch tree, which comprises a post value evaluation system, wherein the post value evaluation system comprises an estimation modeling management module, an estimation object management module, a version management module, an evaluation data management module and an evaluation calculation management module; the estimation modeling management module comprises an estimation modeling module, an estimation element module, an estimation coefficient module and an estimation sample definition module; the estimation object management module comprises an estimation sample module; the version management module comprises an estimation version definition module, an estimation coefficient assignment module and an element assignment weight module; the evaluation data management module comprises a benchmark threshold level module and a benchmark threshold grading module; the evaluation calculation management module comprises a simulation measuring and calculating module and a result analysis module. The invention can completely configure all logics of the estimation type service, thereby providing flexible support for the user to the maximum extent when the user needs to adjust the estimation logic at the later stage.
Description
Technical Field
The invention belongs to the technical field of information technology application, and particularly relates to a formula model solving editor based on a multi-way tree.
Background
The evaluation type business of the enterprise at present is not provided with a related product type system to provide informatization support in the design and simulation stages, most of the evaluation type business uses a customized system project related to the business to realize the process, because the evaluation type business is a customized project, the configurational degree of the evaluation type business is uneven, uniform standards are not available, and once the project is completed, the degree of adjustment of the evaluation logic by a user in the customized system in the later stage is completely limited by the configuration degree allowed by the system, and slightly larger adjustment needs to be carried out by a development company to modify codes.
Disclosure of Invention
The invention aims to provide a formula model solving editor based on a multi-way tree to solve the problems in the background technology.
In order to achieve the purpose, the invention provides the following technical scheme: a formula model solving editor based on a multi-branch tree comprises a post value evaluation system, wherein the post value evaluation system comprises an estimation modeling management module, an estimation object management module, a version management module, an evaluation data management module and an evaluation calculation management module;
the estimation modeling management module comprises an estimation modeling module, an estimation element module, an estimation coefficient module and an estimation sample definition module;
the estimation object management module comprises an estimation sample module;
the version management module comprises an estimation version definition module, an estimation coefficient assignment module and an element assignment weight module;
the evaluation data management module comprises a benchmark threshold level module and a benchmark threshold grading module;
the evaluation calculation management module comprises a simulation measuring and calculating module and a result analysis module.
Preferably, the estimation modeling module, the estimation element module, the estimation coefficient module, the estimation sample definition module, the estimation sample module, and the estimation version definition module each include a query unit, a reset unit, a deletion unit, and a new addition unit.
Preferably, the estimation element module is used for supporting the estimation element structure of multiple levels on a business by using a calculation model structure of a multi-branch tree, and meanwhile, performing layer-by-layer quantitative calculation and then performing peer weighted average calculation on estimation elements of all levels in a bottom-up manner, and transmitting the normalized summary calculation results of multiple elements of the level to the previous level after calculation until the top level of the model performs summary calculation to obtain the final estimation score of a certain position.
Preferably, the estimation element module further comprises online editing of estimation element structure definition and estimation element calculation logic;
the estimation element structure definition specifically comprises a data structure and an estimation sample data structure, wherein the data structure and the estimation sample data structure can freely define element calculation coefficients and weight parameters required by the estimation elements, and the requirements of service requirements on various calculation coefficient parameter structure definitions in the estimation calculation are specifically described according to the granularity of a data structure hierarchy;
the online editing of the calculation logic of the estimation elements is characterized in that the online visual editing of the specific calculation logic of each level of the evaluation elements can be flexibly performed through formula model definition, a system provides a visual editing template and a building block dragging editor of a calculation assembly, a user designs the calculation logic with fine granularity, and the system automatically identifies the calculation logic description edited by the user through a logic identification analysis function and converts the calculation logic description into a bottom-layer execution code.
Preferably, the simulation measurement and calculation module needs to perform data integrity verification before measurement and calculation, and the content of the data integrity verification includes three parts: a first part: all sub-elements must have been assigned values; a second part: all weights must have been assigned and the sum of the element weights at the same level must equal 1; and a third part: each source data must contain data of an estimation sample; the content of the data integrity verification must pass, and the user can click to start measurement and calculation.
Preferably, the measurement and calculation result page of the simulation measurement and calculation module comprises 4 TAB pages which are respectively measurement and calculation results, standard scores, weights and source data; the measurement and calculation result is used for displaying the measurement and calculation result, the standard is used for displaying estimation coefficient assignment used for measurement and calculation, the weight is used for displaying element weight, and the source data is used for displaying all source data used for measurement and calculation.
Preferably, the measurement result page of the simulation measurement and calculation module further comprises standard score adjustment, weight adjustment and simulation measurement and calculation; the adjustment standard is divided into specific operations that: adjusting the click adjustment standard score to a standard score adjustment page, directly modifying the data of the evaluation coefficient assignment, after modification, clicking adjustment weight or clicking simulation measurement and calculation, and distributing the adjusted standard to a server for simulation measurement and calculation when clicking simulation measurement and calculation; the adjusting weights are specifically operative to: clicking to adjust the weight, then clicking a certain element, displaying the weights of all elements under the element on the right side, directly modifying the weight values of the weights, clicking to simulate measurement after modifying the weights, and sending all the modified element weights to a server for measurement when clicking to simulate measurement.
Preferably, the method further comprises data verification before the analog measurement, wherein the data verification comprises the following contents: whether the sub-elements are all assigned and whether the weights are all assigned, and whether the weight sum of the elements at the same level is 1 or not; and after the data are verified, the server starts measuring and calculating, and jumps to a measuring and calculating result page after measuring and calculating are finished.
Preferably, the result analysis module is used for listing all evaluation calculations, selecting a result to be calculated by clicking, inputting an analysis name which cannot be repeated with the existing name, clicking the determination button, jumping to a list page after the establishment is finished, and clicking the export Excel button to export the result analysis.
Compared with the prior art, the invention has the beneficial effects that:
(1) the method helps enterprises to quickly realize data processing of the estimation services in the design and simulation stages on the basis of metadata driving, and can realize the design and landing of data structures related to service estimation and the description and execution of service calculation logics among data only in a configuration mode.
(2) The invention is built in a whole-course configurable mode, realizes the visual editing of the metadata establishment, the data objects and the business calculation logics acted among the metadata, the metadata and the objects and between the objects in the estimation through configuration, and can perform the composite operation of the business logics after the business data instance is introduced into the objects, thereby realizing the simulation operation of the estimation-type business.
(3) The invention can display the calculation logic of the established estimation service layer by layer through the multi-branch tree structure, and can facilitate a user to check the intermediate result of the calculation and find out the design problem of the estimation logic according to the characteristics of the layer-by-layer simulation calculation.
Drawings
FIG. 1 is one of the interface schematic diagrams of the present invention;
FIG. 2 is a second schematic interface diagram of the present invention;
FIG. 3 is a third schematic interface diagram of the present invention;
FIG. 4 is a fourth schematic interface diagram of the present invention;
FIG. 5 is a fifth schematic view of the interface of the present invention.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
Example 1
Referring to fig. 1-5, the present invention provides a technical solution: a formula model solving editor based on a multi-branch tree comprises a post value evaluation system, wherein the post value evaluation system comprises an estimation modeling management module, an estimation object management module, a version management module, an evaluation data management module and an evaluation calculation management module;
the estimation modeling management module comprises an estimation modeling module, an estimation element module, an estimation coefficient module and an estimation sample definition module;
the estimation object management module comprises an estimation sample module;
the version management module comprises an estimation version definition module, an estimation coefficient assignment module and an element assignment weight module;
the evaluation data management module comprises a benchmark threshold level module and a benchmark threshold grading module;
the evaluation calculation management module comprises a simulation measuring and calculating module and a result analysis module.
In this embodiment, preferably, the estimation modeling module, the estimation element module, the estimation coefficient module, the estimation sample definition module, the estimation sample module, and the estimation version definition module each include a query unit, a reset unit, a deletion unit, and a new addition unit.
In this embodiment, preferably, the estimated element module is configured to support an estimated element structure of multiple levels on a business by using a computational model structure of a multi-branch tree, perform layer-by-layer quantitative calculation on estimated elements of each level in a bottom-up manner, then perform weighted average calculation of the same level, and send a normalized summary calculation result of multiple elements of the level to the previous level after calculation until a top level of the model performs summary calculation to obtain a final estimated score of a certain position.
In this embodiment, preferably, the estimation element module further includes online editing of estimation element structure definition and estimation element calculation logic;
the estimation element structure definition specifically comprises a data structure and an estimation sample data structure, wherein the data structure and the estimation sample data structure can freely define element calculation coefficients and weight parameters required by the estimation elements, and the requirements of service requirements on various calculation coefficient parameter structure definitions in the estimation calculation are specifically described according to the granularity of a data structure hierarchy;
the online editing of the calculation logic of the estimation elements is characterized in that the online visual editing of the specific calculation logic of each level of the evaluation elements can be flexibly performed through formula model definition, a system provides a visual editing template and a building block dragging editor of a calculation assembly, a user designs the calculation logic with fine granularity, and the system automatically identifies the calculation logic description edited by the user through a logic identification analysis function and converts the calculation logic description into a bottom-layer execution code.
In this embodiment, preferably, the simulation measurement and calculation module needs to perform data integrity verification before measurement and calculation, and the content of the data integrity verification includes three parts: a first part: all sub-elements must have been assigned values; a second part: all weights must have been assigned and the sum of the element weights at the same level must equal 1; and a third part: each source data must contain data of an estimation sample; the content of the data integrity verification must pass, and the user can click to start measurement and calculation.
In this embodiment, preferably, the measurement result page of the simulation measurement and calculation module includes 4 TAB pages, which are respectively a measurement and calculation result, a standard score, a weight, and source data; the measurement and calculation result is used for displaying the measurement and calculation result, the standard is used for displaying estimation coefficient assignment used for measurement and calculation, the weight is used for displaying element weight, and the source data is used for displaying all source data used for measurement and calculation.
In this embodiment, preferably, the measurement result page of the simulation measurement and calculation module further includes adjusting the standard score, adjusting the weight, and simulating measurement and calculation; the adjustment standard is divided into specific operations that: adjusting the click adjustment standard score to a standard score adjustment page, directly modifying the data of the evaluation coefficient assignment, after modification, clicking adjustment weight or clicking simulation measurement and calculation, and distributing the adjusted standard to a server for simulation measurement and calculation when clicking simulation measurement and calculation; the adjusting weights are specifically operative to: clicking to adjust the weight, then clicking a certain element, displaying the weights of all elements under the element on the right side, directly modifying the weight values of the weights, clicking to simulate measurement after modifying the weights, and sending all the modified element weights to a server for measurement when clicking to simulate measurement.
In this embodiment, preferably, before the analog measurement and calculation, data verification is further included, where the data verification includes the following contents: whether the sub-elements are all assigned and whether the weights are all assigned, and whether the weight sum of the elements at the same level is 1 or not; and after the data are verified, the server starts measuring and calculating, and jumps to a measuring and calculating result page after measuring and calculating are finished.
In this embodiment, preferably, the result analysis module is configured to list all evaluation calculations, select a result to be calculated by clicking, input an analysis name, where the analysis name cannot be repeated with an existing name, click a determination button, jump to a list page after completion of establishment, and click an export Excel button to export a result analysis.
Example 2
Referring to fig. 1-5, the present invention provides a technical solution: a formula model solving editor based on a multi-branch tree comprises a post value evaluation system, wherein the post value evaluation system comprises an estimation modeling management module, an estimation object management module, a version management module, an evaluation data management module and an evaluation calculation management module;
the estimation modeling management module comprises an estimation modeling module, an estimation element module, an estimation coefficient module and an estimation sample definition module;
the estimation object management module comprises an estimation sample module;
the version management module comprises an estimation version definition module, an estimation coefficient assignment module and an element assignment weight module;
the evaluation data management module comprises a benchmark threshold level module and a benchmark threshold grading module;
the evaluation calculation management module comprises a simulation measuring and calculating module and a result analysis module.
In this embodiment, preferably, the estimation modeling module, the estimation element module, the estimation coefficient module, the estimation sample definition module, the estimation sample module, and the estimation version definition module each include a query unit, a reset unit, a deletion unit, and a new addition unit.
In this embodiment, preferably, the estimated element module is configured to support an estimated element structure of multiple levels on a business by using a computational model structure of a multi-branch tree, perform layer-by-layer quantitative calculation on estimated elements of each level in a bottom-up manner, then perform weighted average calculation of the same level, and send a normalized summary calculation result of multiple elements of the level to the previous level after calculation until a top level of the model performs summary calculation to obtain a final estimated score of a certain position.
In this embodiment, preferably, the estimation element module further includes online editing of estimation element structure definition and estimation element calculation logic;
the estimation element structure definition specifically comprises a data structure and an estimation sample data structure, wherein the data structure and the estimation sample data structure can freely define element calculation coefficients and weight parameters required by the estimation elements, and the requirements of service requirements on various calculation coefficient parameter structure definitions in the estimation calculation are specifically described according to the granularity of a data structure hierarchy;
the online editing of the calculation logic of the estimation elements is characterized in that the online visual editing of the specific calculation logic of each level of the evaluation elements can be flexibly performed through formula model definition, a system provides a visual editing template and a building block dragging editor of a calculation assembly, a user designs the calculation logic with fine granularity, and the system automatically identifies the calculation logic description edited by the user through a logic identification analysis function and converts the calculation logic description into a bottom-layer execution code.
In this embodiment, preferably, the simulation measurement and calculation module needs to perform data integrity verification before measurement and calculation, and the content of the data integrity verification includes three parts: a first part: all sub-elements must have been assigned values; a second part: all weights must have been assigned and the sum of the element weights at the same level must equal 1; and a third part: each source data must contain data of an estimation sample; the content of the data integrity verification must pass, and the user can click to start measurement and calculation.
In this embodiment, preferably, the measurement result page of the simulation measurement and calculation module includes 4 TAB pages, which are respectively a measurement and calculation result, a standard score, a weight, and source data; the measurement and calculation result is used for displaying the measurement and calculation result, the standard is used for displaying estimation coefficient assignment used for measurement and calculation, the weight is used for displaying element weight, and the source data is used for displaying all source data used for measurement and calculation.
In this embodiment, preferably, the measurement result page of the simulation measurement and calculation module further includes adjusting the standard score, adjusting the weight, and simulating measurement and calculation; the adjustment standard is divided into specific operations that: adjusting the click adjustment standard score to a standard score adjustment page, directly modifying the data of the evaluation coefficient assignment, after modification, clicking adjustment weight or clicking simulation measurement and calculation, and distributing the adjusted standard to a server for simulation measurement and calculation when clicking simulation measurement and calculation; the adjusting weights are specifically operative to: clicking to adjust the weight, then clicking a certain element, displaying the weights of all elements under the element on the right side, directly modifying the weight values of the weights, clicking to simulate measurement after modifying the weights, and sending all the modified element weights to a server for measurement when clicking to simulate measurement.
The working principle and the using process of the invention are as follows:
(1) the method helps enterprises to quickly realize data processing of the estimation services in the design and simulation stages on the basis of metadata driving, and can realize the design and landing of data structures related to service estimation and the description and execution of service calculation logics among data only in a configuration mode.
(2) The invention is built in a whole-course configurable mode, realizes the visual editing of the metadata establishment, the data objects and the business calculation logics acted among the metadata, the metadata and the objects and between the objects in the estimation through configuration, and can perform the composite operation of the business logics after the business data instance is introduced into the objects, thereby realizing the simulation operation of the estimation-type business.
(3) The invention can display the calculation logic of the established estimation service layer by layer through the multi-branch tree structure, and can facilitate a user to check the intermediate result of the calculation and find out the design problem of the estimation logic according to the characteristics of the layer-by-layer simulation calculation.
Although embodiments of the present invention have been shown and described, it will be appreciated by those skilled in the art that changes, modifications, substitutions and alterations can be made in these embodiments without departing from the principles and spirit of the invention, the scope of which is defined in the appended claims and their equivalents.
Claims (9)
1. A formula model solution editor based on multi-branch tree is characterized in that: the post value evaluation system comprises an evaluation modeling management module, an evaluation object management module, a version management module, an evaluation data management module and an evaluation calculation management module;
the estimation modeling management module comprises an estimation modeling module, an estimation element module, an estimation coefficient module and an estimation sample definition module;
the estimation object management module comprises an estimation sample module;
the version management module comprises an estimation version definition module, an estimation coefficient assignment module and an element assignment weight module;
the evaluation data management module comprises a benchmark threshold level module and a benchmark threshold grading module;
the evaluation calculation management module comprises a simulation measuring and calculating module and a result analysis module.
2. The polynomial based formulation model solution editor of claim 1, wherein: the estimation modeling module, the estimation element module, the estimation coefficient module, the estimation sample definition module, the estimation sample module and the estimation version definition module respectively comprise a query unit, a reset unit, a deletion unit and a new addition unit.
3. The polynomial based formulation model solution editor of claim 1, wherein: the estimation element module is used for supporting a multi-level estimation element structure on a business by using a calculation model structure of a multi-branch tree, carrying out layer-by-layer quantitative calculation on each level of estimation elements in a bottom-up mode, then carrying out peer weighted average calculation, and transmitting a normalized summary calculation result of a plurality of elements of the level to the previous level after calculation until the top layer of the model carries out summary calculation to obtain a final estimation score of a certain post.
4. The polynomial based formulation model solution editor of claim 1, wherein: the estimation element module further comprises online editing of estimation element structure definition and estimation element calculation logic;
the estimation element structure definition specifically comprises a data structure and an estimation sample data structure, wherein the data structure and the estimation sample data structure can freely define element calculation coefficients and weight parameters required by the estimation elements, and the requirements of service requirements on various calculation coefficient parameter structure definitions in the estimation calculation are specifically described according to the granularity of a data structure hierarchy;
the online editing of the calculation logic of the estimation elements is characterized in that the online visual editing of the specific calculation logic of each level of the evaluation elements can be flexibly performed through formula model definition, a system provides a visual editing template and a building block dragging editor of a calculation assembly, a user designs the calculation logic with fine granularity, and the system automatically identifies the calculation logic description edited by the user through a logic identification analysis function and converts the calculation logic description into a bottom-layer execution code.
5. The polynomial based formulation model solution editor of claim 1, wherein: the simulation measuring and calculating module needs to perform data integrity verification before measuring and calculating, and the content of the data integrity verification comprises three parts: a first part: all sub-elements must have been assigned values; a second part: all weights must have been assigned and the sum of the element weights at the same level must equal 1; and a third part: each source data must contain data of an estimation sample; the content of the data integrity verification must pass, and the user can click to start measurement and calculation.
6. The polynomial based formulation model solution editor of claim 1, wherein: the measurement and calculation result page of the simulation measurement and calculation module comprises 4 TAB pages which are respectively a measurement and calculation result, a standard score, a weight and source data; the measurement and calculation result is used for displaying the measurement and calculation result, the standard is used for displaying estimation coefficient assignment used for measurement and calculation, the weight is used for displaying element weight, and the source data is used for displaying all source data used for measurement and calculation.
7. The polynomial based formulation model solution editor of claim 6, wherein: the measurement result page of the simulation measurement and calculation module further comprises standard score adjustment, weight adjustment and simulation measurement and calculation; the adjustment standard is divided into specific operations that: adjusting the click adjustment standard score to a standard score adjustment page, directly modifying the data of the evaluation coefficient assignment, after modification, clicking adjustment weight or clicking simulation measurement and calculation, and distributing the adjusted standard to a server for simulation measurement and calculation when clicking simulation measurement and calculation; the adjusting weights are specifically operative to: clicking to adjust the weight, then clicking a certain element, displaying the weights of all elements under the element on the right side, directly modifying the weight values of the weights, clicking to simulate measurement after modifying the weights, and sending all the modified element weights to a server for measurement when clicking to simulate measurement.
8. The polynomial based formulation model solution editor of claim 7, wherein: the method further comprises data verification before the analog measurement, wherein the data verification comprises the following contents: whether the sub-elements are all assigned and whether the weights are all assigned, and whether the weight sum of the elements at the same level is 1 or not; and after the data are verified, the server starts measuring and calculating, and jumps to a measuring and calculating result page after measuring and calculating are finished.
9. The polynomial based formulation model solution editor of claim 1, wherein: the result analysis module is used for listing all evaluation calculations, selecting a result to be calculated by clicking, inputting an analysis name which cannot be repeated with the existing name, clicking a determination button, jumping to a list page after the establishment is finished, and clicking an export Excel button to export the result analysis.
Priority Applications (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN202110012312.4A CN112632923B (en) | 2021-01-06 | 2021-01-06 | Formula model solving editor based on multi-branch tree |
Applications Claiming Priority (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN202110012312.4A CN112632923B (en) | 2021-01-06 | 2021-01-06 | Formula model solving editor based on multi-branch tree |
Publications (2)
Publication Number | Publication Date |
---|---|
CN112632923A true CN112632923A (en) | 2021-04-09 |
CN112632923B CN112632923B (en) | 2023-02-10 |
Family
ID=75290772
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
CN202110012312.4A Active CN112632923B (en) | 2021-01-06 | 2021-01-06 | Formula model solving editor based on multi-branch tree |
Country Status (1)
Country | Link |
---|---|
CN (1) | CN112632923B (en) |
Citations (9)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
JPH10124483A (en) * | 1996-08-28 | 1998-05-15 | Nec Corp | Device for editing scenario |
CN1417961A (en) * | 2002-11-22 | 2003-05-14 | 天津大学 | Intelligent engineering machinery fault diagnosing system based on networked movable operation machines |
CN108038615A (en) * | 2017-12-11 | 2018-05-15 | 西安科技大学 | A kind of colliery sector Post Value appraisal procedure |
CN110309596A (en) * | 2019-07-02 | 2019-10-08 | 上海天诚通信技术股份有限公司 | Comprehensive wiring approaches to IM based on multi-fork tree algorithm |
CN110457533A (en) * | 2019-07-25 | 2019-11-15 | 河南开合软件技术有限公司 | A kind of intelligence data model analysis method |
CN110517017A (en) * | 2019-08-23 | 2019-11-29 | 浙江甄才科技发展有限公司 | Talent role post modeling method and system |
CN111242437A (en) * | 2020-01-03 | 2020-06-05 | 广东电网有限责任公司 | Electric power staff comprehensive assessment system based on analytic hierarchy process |
CN111325529A (en) * | 2020-03-20 | 2020-06-23 | 广东人啊人网络技术开发有限公司 | Talent evaluation-based personnel and post matching method and system |
CN112163017A (en) * | 2020-09-27 | 2021-01-01 | 广州汇智通信技术有限公司 | Knowledge mining system and method |
-
2021
- 2021-01-06 CN CN202110012312.4A patent/CN112632923B/en active Active
Patent Citations (9)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
JPH10124483A (en) * | 1996-08-28 | 1998-05-15 | Nec Corp | Device for editing scenario |
CN1417961A (en) * | 2002-11-22 | 2003-05-14 | 天津大学 | Intelligent engineering machinery fault diagnosing system based on networked movable operation machines |
CN108038615A (en) * | 2017-12-11 | 2018-05-15 | 西安科技大学 | A kind of colliery sector Post Value appraisal procedure |
CN110309596A (en) * | 2019-07-02 | 2019-10-08 | 上海天诚通信技术股份有限公司 | Comprehensive wiring approaches to IM based on multi-fork tree algorithm |
CN110457533A (en) * | 2019-07-25 | 2019-11-15 | 河南开合软件技术有限公司 | A kind of intelligence data model analysis method |
CN110517017A (en) * | 2019-08-23 | 2019-11-29 | 浙江甄才科技发展有限公司 | Talent role post modeling method and system |
CN111242437A (en) * | 2020-01-03 | 2020-06-05 | 广东电网有限责任公司 | Electric power staff comprehensive assessment system based on analytic hierarchy process |
CN111325529A (en) * | 2020-03-20 | 2020-06-23 | 广东人啊人网络技术开发有限公司 | Talent evaluation-based personnel and post matching method and system |
CN112163017A (en) * | 2020-09-27 | 2021-01-01 | 广州汇智通信技术有限公司 | Knowledge mining system and method |
Also Published As
Publication number | Publication date |
---|---|
CN112632923B (en) | 2023-02-10 |
Similar Documents
Publication | Publication Date | Title |
---|---|---|
CN112270545A (en) | Financial risk prediction method and device based on migration sample screening and electronic equipment | |
CN107220217A (en) | Characteristic coefficient training method and device that logic-based is returned | |
CN107833605A (en) | A kind of coding method, device, server and the system of hospital's medical record information | |
CN110930249A (en) | Large-scale enterprise credit risk prediction method and system, storage medium and electronic equipment | |
CN105897616A (en) | Resource allocation method and server | |
CN111145009A (en) | Method and device for evaluating risk after user loan and electronic equipment | |
CN108446885A (en) | A kind of automatic collecting method of review comment | |
CN111199469A (en) | User payment model generation method and device and electronic equipment | |
Azmi et al. | Building information modeling (BIM) in architecture, engineering and construction (AEC) industry: a case study in Malaysia | |
CN115170048B (en) | Workflow realization method, system and medium based on model and rule | |
CN111597343A (en) | APP-based intelligent user occupation judgment method and device and electronic equipment | |
Keshavarz et al. | Metric for early measurement of software complexity | |
US20050278301A1 (en) | System and method for determining an optimized process configuration | |
CN111178656A (en) | Credit model training method, credit scoring device and electronic equipment | |
Fayek et al. | Application of fuzzy logic to quality assessment of infrastructure projects at conceptual cost estimating stage | |
CN112632923B (en) | Formula model solving editor based on multi-branch tree | |
Widok et al. | Combining sustainability criteria with discrete event simulation | |
Kostakis et al. | Integrating activity‐based costing with simulation and data mining | |
CN113298120B (en) | Fusion model-based user risk prediction method, system and computer equipment | |
CN113674013A (en) | Advertisement bidding adjustment method and system based on merchant self-defined rules | |
CN114331355A (en) | Remote multi-stage approval method and system for flexible employment platform | |
Ng et al. | Relationships between interdependency, reliability, and vulnerability of infrastructure systems: Case study of biofuel infrastructure development | |
US20120179501A1 (en) | Decision support | |
US20170262766A1 (en) | Variable grouping for entity analysis | |
Dachyar et al. | Interpretive structural model of institutional design for increased domestic component of upstream oil and gas industry in Indonesia |
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 |