CN111027020A - Technical index data processing method and device, computer equipment and storage medium - Google Patents
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Abstract
The embodiment of the invention belongs to the field of data processing, and relates to a technical index datamation processing method, a device, equipment and a storage medium, wherein the method comprises the following steps: determining technical indexes in the scoring standard according to a demand target, decomposing the technical indexes according to levels, and establishing a step level structure in a database; corresponding to the same technical index in the previous layer, each technical index in the next layer is compared pairwise with each other in importance respectively, and a digitalized judgment matrix is output; calculating the relative weight of the compared technical indexes to the technical indexes of the previous layer according to the judgment matrix, and calculating the weight of the technical indexes of each layer to the target according to the relative weight; and when the judgment matrix passes the consistency test, calculating scores according to the technical indexes and corresponding weights of all the layers, and storing the scores in a database. The technical indexes of the method are not artificially determined any more, the subjectivity judgment is digitalized, meanwhile, a solution of a mathematical model is provided, and the consistency test is supported.
Description
Technical Field
The present invention relates to the field of data processing technologies, and in particular, to a method and an apparatus for processing technical index data, a computer device, and a storage medium.
Background
The scoring standard adopted by the rapid integration of the technical section mainly relates to technical indexes and corresponding weights. At present, a manager artificially determines technical indexes and corresponding weights according to a demand target of each quick integration of technical layout blocks by virtue of own experience, which inevitably has the following defects:
1. the scoring standards are relatively independent, and the scoring standards need to be re-formulated every time the technical plate blocks are rapidly integrated;
2. the selection of the technical indexes and the determination of the corresponding weights are often determined by people, theoretical support is lacked, and the subjective degree is high;
3. the correlation influence relationship of each technical index cannot be embodied in the whole marking standard formulation, and whether the logicality judged subjectively is consistent or not cannot be checked, for example, A is more important than B, B is more important than C, and when the logicality is consistent, A is more important than C; however, in the existing scoring standard, the logical property cannot be checked, and a logical error may occur and cannot be detected.
Disclosure of Invention
The embodiment of the invention aims to provide a technical index datamation processing method, a technical index datamation processing device, a computer device and a storage medium, which enable the setting of technical indexes not to be determined manually, but to datafy subjective judgment, provide a solution method of a mathematical model and support the inspection of consistency.
In order to solve the above technical problem, an embodiment of the present invention provides a technical index data processing method, which adopts the following technical solutions: determining technical indexes in the scoring standard according to the demand target, decomposing the technical indexes according to the levels, and establishing a step level structure in a database; corresponding to the same technical index in the previous layer, each technical index in the next layer is compared pairwise with each other in importance respectively, and a digitalized judgment matrix is output; calculating the relative weight of the compared technical indexes to the technical indexes of the previous layer according to the judgment matrix, and calculating the weight of the technical indexes of each layer to the target according to the relative weight; and when the judgment matrix passes the consistency check, calculating the score according to the technical indexes of all the layers and the corresponding weights, and storing the score in a database.
Further, the step of decomposing the technical indexes according to the hierarchy and establishing a hierarchical structure of the steps in the database specifically includes: and decomposing the technical indexes determined according to the demand targets according to levels by using an analytic hierarchy process, and establishing a step level in the database, wherein the step level comprises a target layer, a criterion layer and an index layer from top to bottom.
Further, the step of comparing each technical index in the next level with each other in importance corresponding to the same technical index in the previous level and outputting a digitized judgment matrix specifically includes: comparing every two technical indexes in the corresponding criterion layer under the same technical index in the target layer in importance, and outputting a judgment matrix of the datamation criterion layer to the target layer; and comparing each technical index in the corresponding index layer under the same technical index in the criterion layer in pairs, and respectively outputting a judgment matrix of the digitalized index layer for each technical index in the criterion layer.
Further, the target layer comprises a scoring criterion; the criteria layer corresponds to functional requirements, non-functional requirements and project implementation of scoring criteria in the target layer; the index layer comprises product service function integrity, product parameterization degree, product system architecture and international support corresponding to functional requirements in the criterion layer, technical advancement, performance and safety corresponding to non-functional requirements in the criterion layer, and implementation cases, personnel qualification and technical transfer corresponding to project implementation in the criterion layer; the step of comparing every two technical indexes in the next level with each other corresponding to the same technical index in the previous level and outputting a digitalized judgment matrix comprises the following steps: comparing the importance of the functional requirements, the non-functional requirements and the project implementation of the scoring standard in the criterion layer corresponding to the target layer in pairs, and outputting a judgment matrix of the digitalized criterion layer for the target layer; comparing the product service function integrality, the product parameterization degree, the product system architecture and the international support of the index layer corresponding to the functional requirements in the criterion layer in pairs, and outputting a judgment matrix of the digitalized index layer for the functional requirements in the criterion layer; comparing every two of the technical advancement, performance and safety of the index layer corresponding to the non-functional requirements in the criterion layer, and outputting a judgment matrix of the digitalized index layer for the non-functional requirements in the criterion layer; and comparing the importance of the implementation cases, the personnel qualification and the technology transfer of the item implementation in the index layer corresponding to the criterion layer in pairs, and outputting a judgment matrix of the digitalized index layer for the item implementation in the criterion layer.
Further, the rule for calculating the relative weight is as follows: calculating a product Mi of each row element Aij in the judgment matrix, wherein Aij is a judgment value obtained by comparing a row factor i with a column factor j; the rule for calculating the weight according to the relative weight is: and calculating the n-th power root Wi of the Mi, normalizing the vector Wi, wherein the processed Wi is the weight of each layer element to the target.
Further, the consistency check is judged according to a consistency ratio CR, and specifically includes: calculating a consistency index CI; looking up a table to obtain a random consistency index RI; calculating a consistency ratio CR, wherein CR is CI/RI; wherein CI ═ λ -n)/(n-1); in CI
λ is a characteristic value; in λ
i is 1,2 … n, n is the number of rows; aij is a judgment value for comparing the row factor i with the column factor j.
Further, when the judgment matrix passes consistency check, calculating scores according to the technical indexes of each layer and corresponding weights, and storing the scores in the database specifically comprises the following steps: when the CR is smaller than a preset value, the consistency check passes, and the logic of the judgment matrix is correct; calculating a score according to the technical indexes of each layer and corresponding weights, wherein the score is 1 multiplied by weight 1+ 2 multiplied by weight 2 … … + n multiplied by weight n; the scores are stored in a database.
In order to solve the above technical problem, an embodiment of the present invention further provides a device for processing technical index data, which adopts the following technical solutions: the hierarchical decomposition module is used for determining technical indexes in the scoring standard according to the demand target, decomposing the technical indexes according to the hierarchy and establishing a hierarchical structure of the steps in the database; the technical index datamation module is used for comparing every two technical indexes in the next layer with each other in importance corresponding to the same technical index in the previous layer and outputting a datamation judgment matrix; the calculation module is used for calculating the relative weight of the compared technical indexes to the technical indexes of the previous layer according to the judgment matrix and calculating the weight of the technical indexes of each layer to the target according to the relative weight; and the scoring module is used for calculating a score according to the technical indexes of all layers and corresponding weights when the judgment matrix passes the consistency test, and storing the score in a database.
In order to solve the above technical problem, an embodiment of the present invention further provides a technical index data processing apparatus, including a processor, a memory, and a technical index data processing program stored in the memory, where when the technical index data processing program is executed by the processor, the technical index data processing apparatus implements the steps of the technical index data processing method as described above.
In order to solve the above technical problem, an embodiment of the present invention further provides a computer-readable storage medium, where a technical index digitization processing program is stored on the computer-readable storage medium, and when the technical index digitization processing program is executed by a processor, the steps of the technical index digitization processing method described above are implemented.
Compared with the prior art, the embodiment of the invention mainly has the following beneficial effects: the technical indexes are not artificially set any more, the technical indexes are decomposed according to the levels, a step level structure is established in a database, and a datamation judgment matrix is output, so that the technical indexes are converted into data to be processed, the logicality of each technical index supports consistency judgment through a solution method for providing a mathematical model, and the artificial subjective judgment is greatly reduced.
Drawings
In order to more clearly illustrate the solution of the present invention, the drawings used in the description of the embodiments of the present invention will be briefly described below, and it is obvious that the drawings in the following description are some embodiments of the present invention, and it is obvious for those skilled in the art that other drawings can be obtained based on these drawings without inventive labor.
FIG. 1 is a flow diagram of one embodiment of a method for processing technical indicator data in accordance with the present invention;
FIG. 2 is a block diagram illustrating one embodiment of building a hierarchy of steps in a database in accordance with the present invention;
FIG. 3 is a block diagram illustrating an embodiment of a decision matrix for a target layer for a criterion layer that is digitized according to the present invention;
FIG. 4 is a block diagram illustrating one embodiment of a decision matrix for a functional requirement in a criteria layer for a digitized index layer in accordance with the present invention;
FIG. 5 is a block diagram illustrating one embodiment of a decision matrix for a digitized index layer for non-functional requirements in a criteria layer in accordance with the present invention;
FIG. 6 is a block diagram illustrating an embodiment of a decision matrix implemented by a digitized index layer for items in a criteria layer according to the invention;
FIG. 7 is a block diagram illustrating an embodiment of a device for processing technical indicator data according to the present invention;
fig. 8 is a schematic structural diagram of an embodiment of a technical indicator digitization processing device according to the invention.
Detailed Description
Unless defined otherwise, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this invention belongs; the terminology used in the description of the application herein is for the purpose of describing particular embodiments only and is not intended to be limiting of the invention; the terms "comprising" and "having," and any variations thereof, in the description and claims of this invention and the description of the above figures, are intended to cover non-exclusive inclusions. The terms "first," "second," and the like in the description and in the claims, or in the drawings, are used for distinguishing between different objects and not necessarily for describing a particular sequential order.
Reference herein to "an embodiment" means that a particular feature, structure, or characteristic described in connection with the embodiment can be included in at least one embodiment of the invention. The appearances of the phrase in various places in the specification are not necessarily all referring to the same embodiment, nor are separate or alternative embodiments mutually exclusive of other embodiments. It is explicitly and implicitly understood by one skilled in the art that the embodiments described herein can be combined with other embodiments.
In order to make the technical solutions of the present invention better understood by those skilled in the art, the technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings.
The embodiment of the invention provides a technical index data processing method and device, computer equipment and a storage medium. The technical index datamation processing method of the embodiment of the present invention is generally executed by a terminal device, and the terminal device may be various electronic devices having a display screen and supporting web browsing, including but not limited to a smart phone, a tablet computer, an electronic book reader, an MP3 player (Moving Picture Experts Group Audio Layer III, motion Picture Experts compression standard Audio Layer 3), an MP4 player (Moving Picture Experts Group Audio Layer IV, motion Picture Experts compression standard Audio Layer 4), a laptop portable computer, a desktop computer, and the like.
As shown in fig. 1, the method for processing technical index data according to the embodiment of the present invention includes the following steps:
In the embodiment of the invention, an Analytic Hierarchy Process (AHP) is used, technical indexes determined according to a demand target are decomposed according to levels, and a step level is established in a database, wherein the step level comprises a target level, a criterion level and an index level from top to bottom. Layers may also be added as desired.
The Analytic Hierarchy Process (AHP) is to reach the total target according to the nature and requirement of the problem, decompose the problem according to the hierarchy, divide into the interconnected ordered hierarchy, such as target layer, criterion layer, sub-criterion layer, and index layer, and then from top to bottom according to the structure hierarchy of the problem, determine the relative weight of each element (target) on the same hierarchy layer by layer. According to the analytic hierarchy process, the complex problem is decomposed, each component becomes an element after the decomposition, and the elements are divided into a plurality of groups according to attributes to form different layers. Elements of the same level are used as criteria to govern certain elements of the next level, while it is governed by elements of the level above.
The hierarchy can be divided into three categories:
(1) the highest level, which has only one element that is the intended target or desired result of the problem, and is therefore also called the target level;
(2) the intermediate layer comprises a criterion which needs to be considered in an intermediate link related to the target, and the intermediate layer can also consist of a plurality of layers, namely the intermediate layer can be divided into a criterion and a sub-criterion, so the intermediate layer is also called a criterion layer;
(3) the lowest layer, this level, which includes various measures, decision-making schemes, etc. that may be selected to achieve the goal, is also referred to as the index layer.
In the embodiment of the present invention, the elements included in each hierarchy are respectively established, as shown in fig. 2. The target layer is a scoring standard. The criteria layer includes functional requirements, non-functional requirements, and item implementations. The index layer comprises product business function integrity, product parameterization degree, product system architecture and international support based on functional requirements, technical advancement, performance and safety based on non-functional requirements, and implementation case, personnel qualification and technical transfer based on project implementation.
And 102, comparing every two technical indexes in the next level with each other in importance corresponding to the same technical index in the previous level, and outputting a digitalized judgment matrix.
In the embodiment of the present invention, the functional requirements, the non-functional requirements and the items in the criterion layer are compared with each other with respect to the target layer, and a determination matrix of the digitalized criterion layer with respect to the target layer is output, as shown in fig. 3.
The service function integrity, the product parameterization degree, the product system architecture and the internationalization support in the index layer are compared pairwise with respect to the importance of the functional requirements in the criterion layer, and a judgment matrix of the digitalized index layer for the functional requirements in the criterion layer is output, as shown in fig. 4.
The technical advancement, performance and safety in the index layer are compared pairwise with respect to the non-functional requirements in the criterion layer, and a judgment matrix of the datamation index layer for the non-functional requirements in the criterion layer is output, as shown in fig. 5.
The implementation cases, the personnel qualification and the technical transfer in the index layer are compared pairwise with respect to the importance of the project implementation requirements in the criterion layer, and a judgment matrix of the digitalized index layer for the project implementation in the criterion layer is output, as shown in fig. 6.
In fig. 3 to 6, comparison values between two factors are given in the determination matrix, in the embodiment of the present invention, setting 0 to 10 indicates that the importance gradually increases, although other values and importance rules may be set, which is not limited herein.
In the embodiment of the invention, according to the demand target of the rapid integration of the technical plate, the importance of each element of the technical index of the same layer relative to each element of the technical index of the previous layer is compared pairwise, and a datamation judgment matrix can be output according to the corresponding relation of the preset importance and the value.
And 103, calculating the relative weight of the compared element to the technical index of the previous layer according to the judgment matrix, and calculating the weight of the technical index of each layer to the target according to the relative weight.
In the embodiment of the invention, the rule for calculating the relative weight and the weight is preset. The relative weight calculation rule is as follows: calculating a product Mi of each row element Aij (the judgment value of the row factor i compared with the column factor j is Aij) in the judgment matrix;
the rule for calculating the weight is as follows: and calculating the n-th power root Wi of the Mi, normalizing the vector Wi, wherein the processed Wi is the weight of each layer element to the target.
And 104, when the judgment matrix passes the consistency test, calculating a score according to the technical indexes of each layer and the corresponding weight, and storing the score in a database.
When A and B are compared pairwise, if A is more important than B, B is more important than C, and when the logic consistency is consistent, A is more important than C; if the comparison value that C is more important than A is calculated, the logical inconsistency is determined. The calculations of the analytic hierarchy process are not simple to obtain a result, but rather a satisfactory consistent result.
In the embodiment of the invention, the rule of consistency check is carried out on each layer element. The consistency check is judged according to the consistency ratio CR. The consistency judgment according to the consistency ratio CR comprises the following steps: calculating a consistency index CI; looking up a table to obtain a random consistency index RI; the consistency ratio, CR ═ CI/RI, was calculated.
Wherein CI is an index of identity, CI ═ λ -n)/(n-1);
in CI
λ is a characteristic value;
in λ
In the above formula, i is 1,2 … n, n is the number of rows; aij is a judgment value for comparing the row factor i with the column factor j; RI is a random consistency index, RI is obtained by table lookup, RI of the third-order matrix is 0.5149, RI of the fourth-order matrix is 0.8931, and the above values are fixed values.
In the present embodiment, when CR < ═ 0.1, the identity check test is considered passed, otherwise it is not. If the consistency check is passed, and the matrix is judged to be correct in logic, scoring can be performed according to each layer element and corresponding weight, wherein the scoring is element 1 × weight 1+ element 2 × weight 2 … …. + element n × weight n.
Taking the criterion layer to target layer decision matrix shown in FIG. 3 as an example, assume that functional requirements are equally important as non-functional requirementsThe value is 1; the functional requirements are slightly more important than the project implementation, with a value of 2; non-functional requirements are slightly more important than project implementation, with a value of 2; accordingly, project implementation is not as critical as functional requirements, with a value of 0.5; item implementation is not as critical as non-functional requirements, with a value of 0.5. When the weight is calculated, the numerical values of the corresponding rows of the functional requirements are multiplied, then the square root is opened for n times, and the vector is normalized, so that the synthetic weight of the functional requirements relative to the target is 0.4. In the same calculation manner, the non-functional requirement synthesis weight with respect to the target is 0.4, and the project implementation synthesis weight with respect to the target is 0.2. When the consistency is checked, the consistency checking module is used for checking the consistency,
and the number of rows n is 3, then CI of the decision matrix of the criterion layer for the target layer is (λ -n)/(n-1) is 0, and CR is CI/RI is 0. According to the set CR<When the value is 0.1, the consistency test is passed. And after the consistency check is passed, performing score calculation: score-functional requirement × 0.4+ non-functional requirement × 0.4+ item implementation × 0.2. The scores are stored in a database.
It will be understood by those skilled in the art that all or part of the processes of the methods of the embodiments described above can be implemented by a computer program, which can be stored in a computer-readable storage medium, and can include the processes of the embodiments of the methods described above when the computer program is executed. The storage medium may be a non-volatile storage medium such as a magnetic disk, an optical disk, a Read-Only Memory (ROM), or a Random Access Memory (RAM).
It should be understood that, although the steps in the flowcharts of the figures are shown in order as indicated by the arrows, the steps are not necessarily performed in order as indicated by the arrows. The steps are not performed in the exact order shown and may be performed in other orders unless explicitly stated herein. Moreover, at least a portion of the steps in the flow chart of the figure may include multiple sub-steps or multiple stages, which are not necessarily performed at the same time, but may be performed at different times, which are not necessarily performed in sequence, but may be performed alternately or alternately with other steps or at least a portion of the sub-steps or stages of other steps.
With further reference to fig. 7, as an implementation of the method, the present invention provides an embodiment of a technical index digitization processing apparatus 700, which corresponds to the embodiment of the method shown in fig. 1. As shown in fig. 7, an embodiment of the present invention provides a technical index data processing apparatus 700, including:
the hierarchical decomposition module 71 is configured to determine technical indexes in the scoring standard according to the demand target, decompose the technical indexes according to the hierarchy, and establish a hierarchical structure of the steps in the database;
a technical index datamation module 72, for comparing every two of the technical indexes in the next layer with each other in importance corresponding to the same technical index in the previous layer, and outputting a datamation judgment matrix;
a calculating module 73, configured to calculate a relative weight of the compared technical indicators to the technical indicator in the previous layer according to the determination matrix, and calculate a weight of the technical indicator in each layer to the target according to the relative weight;
and the scoring module 74 is used for calculating a score according to the technical indexes of each layer and the corresponding weights when the judgment matrix passes the consistency test, and storing the score in the database.
As shown in fig. 8, an embodiment of the present invention further provides a technical indicator digitization processing apparatus 800, which includes a processor 81, a memory 82, and a technical indicator digitization processing program stored in the memory. In the embodiment of the present invention, when the technical index datamation processing program is executed by the processor, the steps of the technical index datamation processing method described above are implemented. The method implemented when the technical indicator digitization processing program is executed can refer to the technical indicator digitization processing method of the present invention, and details are not repeated here.
An embodiment of the present invention further provides a computer-readable storage medium, where a technical indicator digitization processing program is stored on the computer-readable storage medium, and when the technical indicator digitization processing program is executed by a processor, the steps of implementing the technical indicator digitization processing method described above are implemented. The method implemented when the technical indicator digitization processing program is executed can refer to the technical indicator digitization processing method of the present invention, and details are not repeated here.
Through the above description of the embodiments, those skilled in the art will clearly understand that the method of the above embodiments can be implemented by software plus a necessary general hardware platform, and certainly can also be implemented by hardware, but in many cases, the former is a better implementation manner. Based on such understanding, the technical solutions of the present invention may be embodied in the form of a software product, which is stored in a storage medium (such as ROM/RAM, magnetic disk, optical disk) and includes instructions for enabling a terminal device (such as a mobile phone, a computer, a server, an air conditioner, or a network device) to execute the method according to the embodiments of the present invention.
It is to be understood that the above-described embodiments are merely illustrative of some, but not restrictive, of the broad invention, and that the appended drawings illustrate preferred embodiments of the invention without limiting its scope. This invention may be embodied in many different forms and, on the contrary, these embodiments are provided so that this disclosure will be thorough and complete. Although the present invention has been described in detail with reference to the foregoing embodiments, it will be apparent to those skilled in the art that various changes in the embodiments and modifications can be made, and equivalents may be substituted for elements thereof. All equivalent structures made by using the contents of the specification and the attached drawings of the invention can be directly or indirectly applied to other related technical fields, and are also within the protection scope of the patent of the invention.
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