CN107563119A - Suitable for the QoS evaluating method and device of multidisciplinary minimally-invasive treatment - Google Patents
Suitable for the QoS evaluating method and device of multidisciplinary minimally-invasive treatment Download PDFInfo
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Abstract
The invention provides a kind of QoS evaluating method and device suitable for multidisciplinary minimally-invasive treatment.This method includes：Obtain the related data of the evaluation index of predetermined number corresponding to evaluation object；The related data of the evaluation index of the predetermined number is pre-processed；According to evaluation purpose and evaluation object feature construction indicator evaluation system；According to the standard prospect value of each evaluation index of the correlation data calculation of pretreated evaluation index；The service quality of the evaluation object under the indicator evaluation system is calculated using the prospect value of Evidential reasoning algorithm and the predetermined number evaluation index.The present invention can handle data multi-source heterogeneous, that type is changeable, improve the scope of application of this method；Evaluation result can be corresponded to different risk partialities by prospect calculation formula, improve the objectivity and accuracy of evaluation result.
Description
Technical field
The present invention relates to field of computer technology, more particularly to a kind of service quality suitable for multidisciplinary minimally-invasive treatment to comment
Valency method and device.
Background technology
To improve service level, quality of medical service by following is evaluated in correlation technique, according to the service valency ratio of hospital, examined
Therapeutic effect and diagnosis and treatment experience and precision, weighting processing is made to each evaluation index, finally gives the thoroughly evaluating to hospital.So
Afterwards, during specific implementation, evaluate, cause because the data obtained from hospital can not be calculated directly, and according only to importance weighting
Evaluation result includes subjective factor, there is certain deviation.
The content of the invention
For the defects of correlation technique, the invention provides a kind of service quality suitable for multidisciplinary minimally-invasive treatment to comment
Valency method and device, for solving technical problem present in correlation technique.
In a first aspect, the embodiments of the invention provide a kind of service quality evaluation side suitable for multidisciplinary minimally-invasive treatment
Method, methods described include：
Obtain the related data of the evaluation index of predetermined number corresponding to evaluation object；
The related data of the evaluation index of the predetermined number is pre-processed；
According to evaluation purpose and evaluation object feature construction indicator evaluation system；
According to the standard prospect value of each evaluation index of the correlation data calculation of pretreated evaluation index；
The metrics evaluation body is calculated using the prospect value of Evidential reasoning algorithm and the predetermined number evaluation index
The service quality of the evaluation object under system.
Alternatively, the related data of the evaluation index of the predetermined number is pre-processed, including：
For the qualitative index in the evaluation index of the predetermined number, be converted to according to the opinion rating of the qualitative index
Equally distributed interval number.
Alternatively, according to the standard prospect value of each evaluation index of correlation data calculation of pretreated evaluation index,
Including：
The original foreground value of each evaluation index is calculated according to prospect value calculation formula；
It is standardized to obtain each evaluation to the original foreground value of each evaluation index according to criterion formula to refer to
Target standard prospect value.
Alternatively, the prospect value calculation formula is multiplied to obtain by decision weighting function with cost function.
Alternatively, the index is calculated using the prospect value of Evidential reasoning algorithm and the predetermined number evaluation index
The service quality of the evaluation object under appraisement system, including：
The evaluation index data are converted into the basic reliability under preset frame according to the prospect value of each evaluation index to divide
Form with function；
Basic brief inference function corresponding to the predetermined number evaluation index is entered using the Evidential reasoning algorithm
Row iteration, obtains the brief inference function of the evaluation object, and by the prospect value of each grade define to obtain corresponding to prospect value
As service quality.
Second aspect, the embodiment of the present invention additionally provide a kind of service quality evaluation suitable for multidisciplinary minimally-invasive treatment and filled
Put, described device includes：
Data acquisition module, the related data of the evaluation index for obtaining predetermined number corresponding to evaluation object；
Data preprocessing module, the related data for the evaluation index to the predetermined number pre-process；
Appraisement system builds module, for according to evaluation purpose and evaluation object feature construction indicator evaluation system；
Prospect value computing module, for each evaluation index of correlation data calculation according to pretreated evaluation index
Standard prospect value；
Service quality evaluation module, for the prospect using Evidential reasoning algorithm and the predetermined number evaluation index
Value calculates the service quality of the evaluation object under the indicator evaluation system.
Alternatively, the data preprocessing module includes：
Qualitative index converting unit, it is fixed according to this for the qualitative index in the evaluation index for the predetermined number
The opinion rating of property index is converted to equally distributed interval number.
Alternatively, the prospect value computing module includes：
Original foreground value computing unit, for calculating the original foreground of each evaluation index according to prospect value calculation formula
Value；
Standard prospect value computing unit, for being entered according to criterion formula to the original foreground value of each evaluation index
Row standardization obtains the standard prospect value of each evaluation index.
Alternatively, the prospect value calculation formula is multiplied to obtain by decision weighting function with cost function.
Alternatively, the service quality evaluation module includes：
Basic reliability modular converter, the evaluation index data are converted to for the prospect value according to each evaluation index pre-
If the form of the basic brief inference function under framework；
Basic reliability iteration module, for corresponding to the predetermined number evaluation index using the Evidential reasoning algorithm
Basic brief inference function be iterated, obtain the brief inference function of the evaluation object, and by the prospect value of each grade
Definition obtains corresponding prospect value as service quality.
Compared with correlation technique, the present invention enters to the related data of the evaluation index of predetermined number corresponding to evaluation object
Row pretreatment；According to evaluation purpose and evaluation object feature construction indicator evaluation system；According to pretreated evaluation index
The standard prospect value of each evaluation index of correlation data calculation；Referred to using Evidential reasoning algorithm and the predetermined number evaluation
Target prospect value calculates the service quality of the evaluation object under the indicator evaluation system.It can be seen that the present invention can handle it is more
The changeable data of source isomery, type, improve the scope of application of this method；Can be with different risk partialities by prospect calculation formula
Corresponding evaluation result, improve the objectivity and accuracy of evaluation result.
Brief description of the drawings
Technical scheme in order to illustrate the embodiments of the present invention more clearly or in correlation technique, below will be to embodiment or phase
The required accompanying drawing used is briefly described in the technology description of pass, it should be apparent that, drawings in the following description are only this
Some embodiments of invention, for those of ordinary skill in the art, on the premise of not paying creative work, can be with
Other accompanying drawings are obtained according to these figures.
Fig. 1 is a kind of stream of QoS evaluating method suitable for multidisciplinary minimally-invasive treatment provided in an embodiment of the present invention
Journey schematic diagram；
Fig. 2 is the block diagram of the multidisciplinary minimally invasive service platform of medical treatment；
Fig. 3 is cost function curve synoptic diagram；
Fig. 4 is a kind of frame of service quality evaluation device suitable for multidisciplinary minimally-invasive treatment provided in an embodiment of the present invention
Figure.
Embodiment
Below in conjunction with the accompanying drawing in the embodiment of the present invention, the technical scheme in the embodiment of the present invention is carried out clear, complete
Site preparation describes, it is clear that described embodiment is only part of the embodiment of the present invention, rather than whole embodiments.It is based on
Embodiment in the present invention, those of ordinary skill in the art are obtained every other under the premise of creative work is not made
Embodiment, belong to the scope of protection of the invention.
QoS evaluating method provided in an embodiment of the present invention suitable for multidisciplinary minimally-invasive treatment can apply to not
Same service platform.For convenience of understanding, this method is applied to the multidisciplinary minimally invasive service platform of medical treatment in one embodiment of the invention.
The multidisciplinary minimally invasive service platform of medical treatment comprises at least：The minimally invasive interrogation service system of medical intelligence, auxiliary diagnosis service system with
And mobile remote collaborative service system.The multidisciplinary minimally invasive service platform of medical treatment can gather each evaluation using different systems and refer to
Related data corresponding to mark.It will be appreciated that above-mentioned related data includes quantitative data and qualitative data.With reference to more
The minimally invasive service platform of section's medical treatment is described in detail to method provided by the invention.
Fig. 1 is a kind of QoS evaluating method suitable for multidisciplinary minimally-invasive treatment that one embodiment of the invention provides
Schematic flow sheet.Referring to Fig. 1, the QoS evaluating method that the base is applied to multidisciplinary minimally-invasive treatment can apply to calculate
On machine, mobile terminal or software, illustrated in the present embodiment by taking computer as an example.101~step that the method comprising the steps of
105 totally 5 steps, it is respectively：
Step 101, the related data of the evaluation index of predetermined number corresponding to evaluation object is obtained.
Computer obtains to evaluate corresponding to evaluation object from the different system of the above-mentioned multidisciplinary minimally invasive service platform of medical treatment to be referred to
Target related data.To reduce amount of calculation, in the present embodiment, can obtain in preset time period, the evaluation index of predetermined number
Related data.Certainly, the time allowed in the computing resource of computer and calculating time, each evaluation index can be obtained
All related datas.Those skilled in the art can be configured according to concrete scene to above-mentioned preset time and predetermined number,
Scheme after adjustment equally falls into protection scope of the present invention.
Step 102, the related data of the evaluation index of the predetermined number is pre-processed.
In the present embodiment, the evaluation index of predetermined number includes qualitative index and quantitative target.Due to qualitative index not
It can directly participate in calculating.Therefore need to pre-process each qualitative index, qualitative index will be changed quantitative target.
In one embodiment of the invention, qualitative index is changed by the way of interval number.Such as some qualitative index
Evaluation have 4 opinion ratings it is i.e. excellent, it is good, in, it is poor, interval number corresponding to this 4 grades is exactly [0.75,1], [0.5,0.75],
[0.25,0.5] and [0,0.25].It is that there is putting property degree if the related data of qualitative index is { (excellent, 0.3), (good, 0.7) }
Data are that the possibility of " excellent " is 0.3, and the possibility of " good " is 0.7.After pretreatment, the related data of the qualitative index becomes
{ ([0.75,1], 0.3), ([0.5,0.75], 0.7) }, " excellent ", " good " data are converted into interval number respectively.
Step 103, according to evaluation purpose and evaluation object feature construction indicator evaluation system.In the present embodiment, rely on more
The minimally invasive service platform of subject medical treatment, computer evaluation purpose and evaluation object feature construction indicator evaluation system.For example, with reference to figure
2, treat minimally invasive service quality with regard to studying medicine more and evaluated in one embodiment of the invention, first class index is service quality, two-level index
Respectively use the service quality of three big Major Systems in platform, i.e. interrogation service system service quality, auxiliary diagnosis service
System service quality and mobile remote collaborative service system service quality, three-level index are the module quality of service of corresponding system,
And each module has some evaluation indexes, for example electronic medical recordses module includes electronic health record class mesh number, interaction hommization journey
Degree etc., by the above method, the index system of multi-layer can be built, for follow-up approach application.
Step 104, according to the standard prospect value of each evaluation index of correlation data calculation of pretreated evaluation index.
In the embodiment of the present invention, Utilization prospects value calculation formula calculates the standard prospect value of each evaluation index.
First, the original foreground value of each evaluation index is calculated according to prospect value calculation formula.The prospect value calculation formula
It is multiplied to obtain with cost function by decision weighting function, formula is as follows：
Cost function：、
Decision weighting function：
It is as follows for the computational methods of qualitative index and the Δ x of quantitative target：
Wherein hN, iRepresent the evaluation of estimate of quantitative target, HN, iRepresent the section after some opinion rating conversion of qualitative index
Number,WithThe average value of the quantitative target, qualitative index is represented respectively.And α is the parameter for representing policymaker's risk partiality；λ is
Risk averse parameter, i.e., in the case of loss (Δ x ＜ 0), lose more precipitous (referring to Fig. 3) than the image of income；P is represented
The quantitative target or qualitative index are be evaluated as some value or the confidence level of some grade.
The conversion method of qualitative index is as follows：Each opinion rating of qualitative index is converted to according to the section of [0,1]
Equally distributed interval number, i.e.,Wherein N evaluates for the qualitative index
Total number of grades.
Secondly, the original foreground value of each evaluation index is standardized to obtain each comment according to criterion formula
The standard prospect value of valency index.
In the present embodiment, criterion formula is
Wherein V (ei) and V (ei)*() represent to be calculated according to criterion formula respectively it is original
Prospect value and the standard prospect value obtained by standardization, miRepresent value minimum in the data that the index is collected, MiRepresent
Maximum value in the data that the index is collected.
For the method for adjustment of essential index：
Wherein V (ei)*WithOriginal foreground value and standard prospect value after representing essential index before adjustment respectively, η
Represent modifying factor.
In view of the standard prospect value value after standardization, between 0 to 1, therefore the average of standard prospect value can be set
For 0.5.If V (ei)*>=0.5, then it is assumed that the standard prospect value V (e of essential indexi)*More than average value, therefore V (ei)*Reach base
This requirement, then value holding is constant；If V (ei)*＜ 0.5, then V (ei)*Basic demand is not reaching to, now needs to use modifying factor
Reduce the standard prospect value of the essential index.
For the method for adjustment of selection indicators：
Wherein V (e 'i)*With V (ek)*Represent to belong to the essential index of higher level's index and the mark of selection indicators respectively
Quasi- prospect value, μ are the Dynamic genes of selection indicators.
If the standard prospect value V (e of the selection indicatorsk)*>=0.5 and belong to all essential fingers of higher level's index
Target standard prospect value V (e 'i)*>=0.5 (i.e. they have reached most basic requirement), such situation is best, therefore passes through tune
Integral divisor amplifies the standard prospect value of the selection indicators.
If the standard prospect value V (e of the selection indicatorsk)*＜ 0 and all essential indexs for belonging to higher level's index
Standard prospect value V (e 'i)*＜ 0.5, i.e., essential index has reached basic demand and selection indicators are not reaching to basic demand.This
When the standard prospect values of the selection indicators is not adjusted.
If V (e 'i)*With V (ek)*The value of standard prospect value belong to other situations, then it represents that essential index does not all reach
To basic demand, the standard prospect value for reducing the selection indicators is now allowed by Dynamic gene.
Step 105, the finger is calculated using the prospect value of Evidential reasoning algorithm and the predetermined number evaluation index
Mark the service quality of the evaluation object under appraisement system.
In the embodiment of the present invention, when entering row index synthesis using Evidential reasoning algorithm, before each evaluation index
Scape value is converted to the evaluation index data form of the basic brief inference function under preset frame：
S(ei)={ (Hn, βN, i), n=1 ..., N }；
Wherein HnRepresent some grade, General N=5, βN, iRepresent the putting property degree that index is assigned in some grade.
Conversion formula is as follows：
βJ+1, i=1- βJ, i, wherein j calculation formula is：
Then, basic brief inference function corresponding to the predetermined number evaluation index is entered using Evidential reasoning algorithm
Row iteration, obtains the brief inference function of the evaluation object, and by the prospect value of each grade define to obtain corresponding to prospect value
As service quality.
Wherein, Evidential reasoning algorithm is shown below：
S (y)={ (Hn, βn), n=1 ..., N }.
Wherein mN, iIt is i-th of evaluation index H in the case where marking appraisement systemnOn basic reliability distribution；It is at i-th
The uncertain basic reliability distribution caused by index weights in evaluation index；Be in i-th of evaluation index due to
Uncertain basic reliability distribution caused by index weights；K is the conflict factor；mnIt is upper strata index in public identification framework Hn
On basic reliability distribution；It is upper strata index uncertain basic reliability distribution caused by index weights；It is
Upper strata index uncertain basic reliability distribution caused by index weights；βnIt is upper strata Distribution Indexes on grade n
Confidence level, βHIt is the confidence level of the unallocated any grade of upper strata index, S (y) is the upper strata index confidence level in each grade point
With function.
It is iterated using above-mentioned Evidential reasoning algorithm, the evaluation of the final evaluation, i.e. evaluation object for obtaining top layer index
As a result.
In the present embodiment, it is equally distributed, i.e. V (H between [0,1] to define the standard prospect value in each graden)=
(n-1)/(N-1).According to confidence level partition function of the evaluation object in each grade and the prospect value in the grade, Ke Yiji
Calculation obtains the prospect value i.e. service quality of the evaluation object of evaluation object.
Method provided in an embodiment of the present invention is repeated, the prospect value of multiple evaluation objects can be calculated, so as to
Multiple evaluations of programme can be compared.
It can be seen that the present invention can handle data multi-source heterogeneous, that type is changeable, the scope of application of this method is improved；Pass through
Prospect calculation formula can correspond to evaluation result with different risk partialities, improve the objectivity and accuracy of evaluation result.In addition,
The present invention can synthesize step by step to complicated comprehensive index system, obtain finally quantitative evaluation result and be used for comparative analysis, be
Evaluation of programme provides reliable reference frame.
Fig. 4 is a kind of frame of service quality evaluation device suitable for multidisciplinary minimally-invasive treatment provided in an embodiment of the present invention
Figure.Referring to Fig. 4, the device includes：
Data acquisition module 401, the related data of the evaluation index for obtaining predetermined number corresponding to evaluation object；
Data preprocessing module 402, the related data for the evaluation index to the predetermined number pre-process；
Appraisement system builds module 403, for according to evaluation purpose and evaluation object feature construction indicator evaluation system；
Prospect value computing module 404, for the correlation data calculation according to pretreated evaluation index, each evaluation refers to
Target standard prospect value；
Service quality evaluation module 405, for utilizing Evidential reasoning algorithm and the predetermined number evaluation index
Prospect value calculates the service quality of the evaluation object under the indicator evaluation system.
Alternatively, the data preprocessing module 402 includes：
Qualitative index converting unit, it is fixed according to this for the qualitative index in the evaluation index for the predetermined number
The opinion rating of property index is converted to equally distributed interval number.
Alternatively, the prospect value computing module 404 includes：
Original foreground value computing unit, for calculating the original foreground of each evaluation index according to prospect value calculation formula
Value；
Standard prospect value computing unit, for being entered according to criterion formula to the original foreground value of each evaluation index
Row standardization obtains the standard prospect value of each evaluation index.
Alternatively, the prospect value calculation formula is multiplied to obtain by decision weighting function with cost function.
Alternatively, the service quality evaluation module 405 includes：
Basic reliability modular converter, the evaluation index data are converted to for the prospect value according to each evaluation index pre-
If the form of the basic brief inference function under framework；
Basic reliability iteration module, for corresponding to the predetermined number evaluation index using the Evidential reasoning algorithm
Basic brief inference function be iterated, obtain the brief inference function of the evaluation object, and by the prospect value of each grade
Definition obtains corresponding prospect value as service quality.
It should be noted that device provided in an embodiment of the present invention and the above method are one-to-one relations, above-mentioned side
The implementation detail of method is equally applicable to said apparatus, and no longer said system is described in detail for the embodiment of the present invention.
In the specification of the present invention, numerous specific details are set forth.It is to be appreciated, however, that embodiments of the invention can be with
Put into practice in the case of these no details.In some instances, known method, structure and skill is not been shown in detail
Art, so as not to obscure the understanding of this description.
Similarly, it will be appreciated that disclose to simplify the present invention and help to understand one or more in each inventive aspect
Individual, in the description to the exemplary embodiment of the present invention above, each feature of the invention is grouped together into single sometimes
In embodiment, figure or descriptions thereof.It is intended to however, should not explain the method for the disclosure in reflection is following：Want
Seek the application claims features more more than the feature being expressly recited in each claim of protection.More precisely, such as
As following claims reflect, inventive aspect is all features less than single embodiment disclosed above.
Therefore, it then follows thus claims of embodiment are expressly incorporated in the embodiment, wherein each right will
Ask itself all as separate embodiments of the invention.
It will be understood by those skilled in the art that the module in the equipment in embodiment can adaptively be changed
And they are provided in the different one or more equipment of the embodiment.Can the module in embodiment or unit or
Component is combined into a module or unit or component, and can be divided into multiple submodule or subelement or subgroup in addition
Part.Except at least some in such feature and/or process or unit are mutually exclusive parts, any combinations can be used
To all features disclosed in this specification (including adjoint claim, summary and accompanying drawing) and such disclosed any side
All processes or unit of method or equipment are combined.Unless expressly stated otherwise, this specification (including adjoint right will
Ask, make a summary and accompanying drawing) disclosed in each feature can be replaced by the alternative features for providing identical, equivalent or similar purpose.
In addition, it will be appreciated by those of skill in the art that although some embodiments described herein include other embodiments
In included some features rather than further feature, but the combination of the feature of different embodiments means in of the invention
Within the scope of and form different embodiments.For example, in the following claims, embodiment claimed is appointed
One of meaning mode can use in any combination.
The all parts embodiment of the present invention can be realized with hardware, or to be run on one or more processor
Software module realize, or realized with combinations thereof.It will be understood by those of skill in the art that it can use in practice
Microprocessor or digital signal processor (DSP) are realized in a kind of equipment of browser terminal according to embodiments of the present invention
Some or all parts some or all functions.The present invention is also implemented as being used to perform side as described herein
The some or all equipment or program of device (for example, computer program and computer program product) of method.It is such
Realizing the program of the present invention can store on a computer-readable medium, or can have the shape of one or more signal
Formula.Such signal can be downloaded from internet website and obtained, and either be provided or with any other shape on carrier signal
Formula provides.
It should be noted that the present invention will be described rather than limits the invention for above-described embodiment, and ability
Field technique personnel can design alternative embodiment without departing from the scope of the appended claims.In the claims,
Any reference symbol between bracket should not be configured to limitations on claims.Word "comprising" does not exclude the presence of not
Element or step listed in the claims.Word "a" or "an" before element does not exclude the presence of multiple such
Element.The present invention can be by means of including the hardware of some different elements and being come by means of properly programmed computer real
It is existing.In if the unit claim of equipment for drying is listed, several in these devices can be by same hardware branch
To embody.The use of word first, second, and third does not indicate that any order.These words can be explained and run after fame
Claim.
Finally it should be noted that：Various embodiments above is merely illustrative of the technical solution of the present invention, rather than its limitations；To the greatest extent
The present invention is described in detail with reference to foregoing embodiments for pipe, it will be understood by those within the art that：Its according to
The technical scheme described in foregoing embodiments can so be modified, either which part or all technical characteristic are entered
Row equivalent substitution；And these modifications or replacement, the essence of appropriate technical solution is departed from various embodiments of the present invention technology
The scope of scheme, it all should cover among the claim of the present invention and the scope of specification.
Claims (10)
1. a kind of QoS evaluating method suitable for multidisciplinary minimally-invasive treatment, it is characterised in that methods described includes：
Obtain the related data of the evaluation index of predetermined number corresponding to evaluation object；
The related data of the evaluation index of the predetermined number is pre-processed；
According to evaluation purpose and evaluation object feature construction indicator evaluation system；
According to the standard prospect value of each evaluation index of the correlation data calculation of pretreated evaluation index；
Calculated using the prospect value of Evidential reasoning algorithm and the predetermined number evaluation index under the indicator evaluation system
The service quality of the evaluation object.
2. the QoS evaluating method according to claim 1 suitable for multidisciplinary minimally-invasive treatment, it is characterised in that right
The related data of the evaluation index of the predetermined number is pre-processed, including：
For the qualitative index in the evaluation index of the predetermined number, be converted to uniformly according to the opinion rating of the qualitative index
The interval number of distribution.
3. the QoS evaluating method according to claim 1 suitable for multidisciplinary minimally-invasive treatment, it is characterised in that root
The standard prospect value of each evaluation index of correlation data calculation of evaluation index after Data preprocess, including：
The original foreground value of each evaluation index is calculated according to prospect value calculation formula；
The original foreground value of each evaluation index is standardized to obtain each evaluation index according to criterion formula
Standard prospect value.
4. the QoS evaluating method according to claim 3 suitable for multidisciplinary minimally-invasive treatment, it is characterised in that institute
Prospect value calculation formula is stated to be multiplied to obtain with cost function by decision weighting function.
5. the QoS evaluating method according to claim 1 suitable for multidisciplinary minimally-invasive treatment, it is characterised in that profit
Institute's commentary under the indicator evaluation system is calculated with the prospect value of Evidential reasoning algorithm and the predetermined number evaluation index
The service quality of valency object, including：
The evaluation index data are converted to the basic brief inference letter under preset frame according to the prospect value of each evaluation index
Several forms；
Basic brief inference function corresponding to the predetermined number evaluation index is changed using the Evidential reasoning algorithm
In generation, obtain the brief inference function of the evaluation object, and by the prospect value of each grade define to obtain corresponding to prospect value conduct
Service quality.
6. a kind of service quality evaluation device suitable for multidisciplinary minimally-invasive treatment, it is characterised in that described device includes：
Data acquisition module, the related data of the evaluation index for obtaining predetermined number corresponding to evaluation object；
Data preprocessing module, the related data for the evaluation index to the predetermined number pre-process；
Appraisement system builds module, for according to evaluation purpose and evaluation object feature construction indicator evaluation system；
Prospect value computing module, the standard for each evaluation index of correlation data calculation according to pretreated evaluation index
Prospect value；
Service quality evaluation module, based on the prospect value using Evidential reasoning algorithm and the predetermined number evaluation index
Calculate the service quality of the evaluation object under the indicator evaluation system.
7. the service quality evaluation device according to claim 6 suitable for multidisciplinary minimally-invasive treatment, it is characterised in that institute
Stating data preprocessing module includes：
Qualitative index converting unit, for the qualitative index in the evaluation index for the predetermined number, according to the qualitative finger
Target opinion rating is converted to equally distributed interval number.
8. the service quality evaluation device according to claim 6 suitable for multidisciplinary minimally-invasive treatment, it is characterised in that institute
Stating prospect value computing module includes：
Original foreground value computing unit, for calculating the original foreground value of each evaluation index according to prospect value calculation formula；
Standard prospect value computing unit, for entering rower to the original foreground value of each evaluation index according to criterion formula
Standardization obtains the standard prospect value of each evaluation index.
9. the service quality evaluation device according to claim 8 suitable for multidisciplinary minimally-invasive treatment, it is characterised in that institute
Prospect value calculation formula is stated to be multiplied to obtain with cost function by decision weighting function.
10. the service quality evaluation device according to claim 6 suitable for multidisciplinary minimally-invasive treatment, it is characterised in that
The service quality evaluation module includes：
The evaluation index data are converted to default frame by basic reliability modular converter for the prospect value according to each evaluation index
The form of basic brief inference function under frame；
Basic reliability iteration module, for utilizing the Evidential reasoning algorithm to base corresponding to the predetermined number evaluation index
This brief inference function is iterated, and obtains the brief inference function of the evaluation object, and defined by the prospect value of each grade
Prospect value is as service quality corresponding to obtaining.
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| CN109509549A (en) * | 2018-05-28 | 2019-03-22 | 平安医疗健康管理股份有限公司 | Consulting services provider evaluation method, device, computer equipment and storage medium |
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