CN107563119A - Suitable for the QoS evaluating method and device of multidisciplinary minimally-invasive treatment - Google Patents

Abstract

The invention provides a service quality evaluation method and device suitable for multidisciplinary minimally invasive treatment. The method includes: obtaining relevant data of a preset number of evaluation indicators corresponding to the evaluation object; preprocessing the relevant data of the preset number of evaluation indicators; constructing an index evaluation system according to the evaluation purpose and the characteristics of the evaluation object; according to the preprocessing Calculate the standard prospect value of each evaluation index based on the relevant data of the final evaluation index; use the evidence reasoning method and the prospect value of the preset number of evaluation indexes to calculate the service quality of the evaluation object under the index evaluation system. The invention can process multi-source heterogeneous and variable-type data, and improve the scope of application of the method; through the prospect calculation formula, different risk preferences can be used to correspond to evaluation results, thereby improving the objectivity and accuracy of the evaluation results.

Description

Service quality evaluation method and device suitable for multidisciplinary minimally invasive treatment

technical field

The invention relates to the field of computer technology, in particular to a service quality evaluation method and device suitable for multidisciplinary minimally invasive treatment.

Background technique

In order to improve the service level, the service quality of the hospital is evaluated in related technologies, and each evaluation index is weighted according to the hospital's service price ratio, diagnosis and treatment effect, diagnosis and treatment experience and accuracy, and finally a comprehensive evaluation of the hospital is obtained. However, in the actual implementation, since the data obtained from the hospital cannot be directly calculated, and the evaluation is only based on the importance weight, the evaluation results contain subjective factors and have certain deviations.

Contents of the invention

Aiming at the defects in the related art, the present invention provides a service quality evaluation method and device suitable for multidisciplinary minimally invasive treatment, which are used to solve the technical problems existing in the related art.

In the first aspect, an embodiment of the present invention provides a service quality evaluation method suitable for multidisciplinary minimally invasive treatment, the method comprising:

Obtain the relevant data of the preset number of evaluation indicators corresponding to the evaluation object;

Preprocessing the relevant data of the preset number of evaluation indicators;

Build an index evaluation system according to the evaluation purpose and the characteristics of the evaluation object;

Calculate the standard prospect value of each evaluation index according to the relevant data of the evaluation index after preprocessing;

The service quality of the evaluation object under the index evaluation system is calculated by using an evidence reasoning method and the prospect values of the preset number of evaluation indexes.

Optionally, preprocessing the relevant data of the preset number of evaluation indicators includes:

For the qualitative indicators in the preset number of evaluation indicators, the evaluation grades of the qualitative indicators are converted into uniformly distributed interval numbers.

Optionally, the standard prospect value of each evaluation index is calculated according to the preprocessed evaluation index related data, including:

Calculate the original prospect value of each evaluation index according to the prospect value calculation formula;

According to the index standardization formula, the original prospect value of each evaluation index is standardized to obtain the standard prospect value of each evaluation index.

Optionally, the prospect value calculation formula is obtained by multiplying a decision weight function and a value function.

Optionally, calculating the service quality of the evaluation object under the index evaluation system by using the evidence reasoning method and the prospect value of the preset number of evaluation indicators, including:

According to the prospect value of each evaluation index, the evaluation index data is converted into the form of the basic reliability distribution function under the preset framework;

Using the evidence reasoning method to iterate the basic reliability distribution function corresponding to the preset number of evaluation indicators to obtain the reliability distribution function of the evaluation object, and obtain the corresponding prospect value from the definition of the prospect value of each level as service quality.

In the second aspect, the embodiment of the present invention also provides a service quality evaluation device suitable for multidisciplinary minimally invasive treatment, the device includes:

A data acquisition module, configured to acquire relevant data of a preset number of evaluation indicators corresponding to the evaluation object;

A data preprocessing module, configured to preprocess the relevant data of the preset number of evaluation indicators;

The evaluation system construction module is used to construct the index evaluation system according to the evaluation purpose and evaluation object characteristics;

The prospect value calculation module is used to calculate the standard prospect value of each evaluation index according to the relevant data of the preprocessed evaluation index;

The service quality evaluation module is used to calculate the service quality of the evaluation object under the index evaluation system by using the evidence reasoning method and the prospect value of the preset number of evaluation indicators.

Optionally, the data preprocessing module includes:

The qualitative index converting unit is configured to convert the qualitative index in the preset number of evaluation indexes into uniformly distributed interval numbers according to the evaluation level of the qualitative index.

Optionally, the foreground value calculation module includes:

The original prospect value calculation unit is used to calculate the original prospect value of each evaluation index according to the prospect value calculation formula;

The standard prospect value calculation unit is used to standardize the original prospect value of each evaluation index according to the index standardization formula to obtain the standard prospect value of each evaluation index.

Optionally, the prospect value calculation formula is obtained by multiplying a decision weight function and a value function.

Optionally, the service quality evaluation module includes:

The basic reliability conversion module is used to convert the evaluation index data into the form of the basic reliability distribution function under the preset framework according to the prospect value of each evaluation index;

The basic reliability iteration module is used to use the evidence reasoning method to iterate the basic reliability distribution function corresponding to the preset number of evaluation indicators to obtain the reliability distribution function of the evaluation object, and the prospects of each level The value definition gets the corresponding foreground value as the quality of service.

Compared with related technologies, the present invention preprocesses the relevant data of the preset number of evaluation indicators corresponding to the evaluation object; constructs an index evaluation system according to the evaluation purpose and the characteristics of the evaluation object; The standard prospect value of the evaluation index; use the evidence reasoning method and the prospect value of the preset number of evaluation indexes to calculate the service quality of the evaluation object under the index evaluation system. It can be seen that the present invention can handle multi-source, heterogeneous and variable-type data and improve the scope of application of the method; through the prospect calculation formula, different risk preferences can be used to correspond to evaluation results, improving the objectivity and accuracy of the evaluation results.

Description of drawings

In order to more clearly illustrate the technical solutions in the embodiments of the present invention or related technologies, the following will briefly introduce the drawings that need to be used in the descriptions of the embodiments or related technologies. Obviously, the drawings in the following description are only For some embodiments of the invention, those skilled in the art can also obtain other drawings based on these drawings without creative effort.

Fig. 1 is a schematic flowchart of a service quality evaluation method suitable for multidisciplinary minimally invasive treatment provided by an embodiment of the present invention;

Figure 2 is a block diagram of a multidisciplinary medical minimally invasive service platform;

Fig. 3 is a schematic diagram of the value function curve;

Fig. 4 is a block diagram of a service quality evaluation device suitable for multidisciplinary minimally invasive treatment provided by an embodiment of the present invention.

detailed description

The following will clearly and completely describe the technical solutions in the embodiments of the present invention with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only some, not all, embodiments of the present invention. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts belong to the protection scope of the present invention.

The service quality evaluation method suitable for multidisciplinary minimally invasive treatment provided by the embodiment of the present invention can be applied to different service platforms. For the convenience of understanding, in an embodiment of the present invention, the method is applied to a multidisciplinary medical minimally invasive service platform. The multidisciplinary medical minimally invasive service platform includes at least: a medical intelligent minimally invasive consultation service system, an auxiliary diagnosis service system, and a mobile remote collaborative service system. The multidisciplinary medical minimally invasive service platform can collect relevant data corresponding to each evaluation index by using different systems. It can be understood that the above relevant data includes quantitative data and qualitative data. The method provided by the present invention will be described in detail below in conjunction with the multidisciplinary medical minimally invasive service platform.

Fig. 1 is a schematic flowchart of a service quality evaluation method applicable to multidisciplinary minimally invasive treatment provided by an embodiment of the present invention. Referring to FIG. 1 , the service quality evaluation method applicable to multidisciplinary minimally invasive treatment can be applied to computers, mobile terminals or software. In this embodiment, a computer is used as an example for illustration. The method comprises a total of 5 steps from step 101 to step 105, which are respectively:

Step 101 , acquiring relevant data of a preset number of evaluation indicators corresponding to the evaluation object.

The computer obtains the relevant data of the evaluation index corresponding to the evaluation object from different systems of the above-mentioned multidisciplinary medical minimally invasive service platform. In order to reduce the amount of calculation, in this embodiment, relevant data of a preset number of evaluation indicators within a preset time period may be acquired. Of course, all relevant data of each evaluation index can be obtained within the time allowed by the computer's computing resources and computing time. Those skilled in the art can set the above-mentioned preset time and preset quantity according to specific scenarios, and the adjusted scheme also falls within the protection scope of the present invention.

Step 102, preprocessing the relevant data of the preset number of evaluation indicators.

In this embodiment, the preset number of evaluation indicators includes qualitative indicators and quantitative indicators. Because qualitative indicators cannot directly participate in the calculation. Therefore, it is necessary to preprocess each qualitative index and convert the qualitative index into a quantitative index.

In an embodiment of the present invention, the qualitative index is converted by means of interval numbers. For example, a qualitative index evaluation has 4 evaluation grades, namely excellent, good, medium and poor. The interval numbers corresponding to these 4 grades are [0.75,1], [0.5,0.75], [0.25,0.5] and [0, 0.25]. If the relevant data of the qualitative index is {(excellent, 0.3), (good, 0.7)}, it is data with a degree of confidence, that is, the possibility of "excellent" is 0.3, and the possibility of "good" is 0.7. After preprocessing, the relevant data of the qualitative index becomes {([0.75,1], 0.3), ([0.5,0.75], 0.7)}, and the "excellent" and "good" data are converted into interval numbers respectively.

Step 103, constructing an index evaluation system according to the evaluation purpose and the characteristics of the evaluation objects. In this embodiment, relying on the multi-disciplinary medical minimally invasive service platform, the purpose of computer evaluation and the characteristics of evaluation objects are used to construct an index evaluation system. For example, referring to Fig. 2, in one embodiment of the present invention, the service quality of multi-learning medical minimally invasive service is evaluated. The service quality of the service system, the service quality of the auxiliary diagnosis service system, and the service quality of the mobile remote collaborative service system. The third-level indicators are the module service quality of the corresponding system, and each module has some evaluation indicators. For example, the electronic case module includes electronic medical records. The number of items, the degree of humanization of interaction, etc., through the above method, a multi-level index system can be constructed for subsequent method application.

Step 104, calculating the standard foreground value of each evaluation index according to the preprocessed evaluation index related data.

In the embodiment of the present invention, the standard foreground value of each evaluation index is calculated using the foreground value calculation formula.

First, the original foreground value of each evaluation index is calculated according to the foreground value calculation formula. The calculation formula of the prospect value is obtained by multiplying the decision weight function and the value function, and the formula is as follows:

value function:

Decision weight function:

The calculation method of Δx for qualitative indicators and quantitative indicators is as follows:

Among them, h _{n, i} represent the evaluation value of the quantitative index, H _{n, i} represent the number of intervals converted from a certain evaluation level of the qualitative index, with Respectively represent the quantitative index, the average value of the qualitative index. And α is a parameter that represents the risk preference of the decision maker; λ is a risk aversion parameter, that is, in the case of loss (Δx<0), the image of loss is steeper than the gain (see Figure 3); p represents the quantitative index or qualitative index Confidence assessed as a value or a level.

The conversion method of the qualitative index is as follows: convert each evaluation level of the qualitative index into a uniformly distributed interval number according to the interval [0,1], that is in N is the total number of grades evaluated by the qualitative index.

Secondly, according to the index standardization formula, the original prospect value of each evaluation index is standardized to obtain the standard prospect value of each evaluation index.

In this embodiment, the index standardization formula is

where V(e _i ) and V(e _i ) ^* ( ) respectively represent the original foreground value calculated according to the standardization formula of the index and the standard foreground value obtained after standardization, m _i represents the smallest value in the data collected by the index, and Mi _represents the largest value in the data collected by the index value.

Adjustment method for mandatory indicators:

where V(e _i ) ^* and Respectively represent the original prospect value and standard prospect value of the required indicators before and after adjustment, and η represents the correction factor.

Since the value of the standard foreground value after standardization is between 0 and 1, the mean value of the standard foreground value can be set to 0.5. If V(e _i ) ^* ≥ 0.5, it is considered that the standard prospect value V(e _i ) ^* of the mandatory indicator exceeds the average value, so V(e _i ) ^* meets the basic requirements, and the value remains unchanged; if V(e _i ) ^* <0.5, then V(e _i ) ^* does not meet the basic requirements, and a correction factor is needed to reduce the standard prospect value of this mandatory indicator.

For the adjustment method of the preferred index:

Among them, V(e′ _i ) ^* and V(e _k ) ^* respectively represent the standard prospect value of the mandatory index and the preferred index belonging to the same superior index, and μ is the adjustment factor of the preferred index.

If the standard prospect value V(e _k ) ^* ≥ 0.5 of the preferred indicator and the standard prospect value V(e′ _i ) ^* ≥ 0.5 of all mandatory indicators belonging to a superior indicator (that is, they all meet the most basic requirements ), such cases are best, so the standard outlook value of this preferred indicator is amplified by the adjustment factor.

If the standard prospect value V(e _k ) ^* of the preferred index <0 and the standard prospect value V(e′ _i ) ^* of all mandatory indexes belonging to the same superior index is <0.5, that is, the mandatory index meets the basic requirements and The preferred indicators did not meet the basic requirements. At this time, no adjustment will be made to the standard outlook value of the preferred index.

If the values of the standard prospect values of V(e′ _i ) ^* and V(e _k ) ^* belong to other situations, it means that none of the mandatory indicators meet the basic requirements, and at this time, the standard of the preferred indicator can be reduced by adjusting the factor foreground value.

Step 105, using the evidence reasoning method and the prospect values of the preset number of evaluation indicators to calculate the service quality of the evaluation object under the index evaluation system.

In the embodiment of the present invention, when the evidence reasoning method is used for index synthesis, the evaluation index data is converted into the form of the basic reliability assignment function under the preset framework according to the prospect value of each evaluation index:

S(e _i )={(H _n ,β _n,i ), n=1,...,N};

Wherein H _n represents a certain level, generally N=5, β _{n, i} represent the degree of setting that the indicator is assigned to a certain level.

The conversion formula is as follows:

β _j+1,i =1-β _j,i , where the calculation formula of j is:

Then, use the evidence reasoning method to iterate the basic reliability distribution function corresponding to the preset number of evaluation indicators to obtain the reliability distribution function of the evaluation object, and obtain the corresponding prospect value from the definition of the prospect value of each level as service quality.

Among them, the evidence reasoning method is shown in the following formula:

S(y)={(H _n , β _n ), n=1, . . . , N}.

Among them, m _{n, i} is the basic credibility distribution of the i-th evaluation index on H _n under the standard evaluation system; is the uncertain basic credibility distribution caused by the index weight on the i-th evaluation index; is the uncertain basic credibility distribution caused by the index weight on the i-th evaluation indicator; K is the conflict factor; m _n is the basic credibility distribution of the upper-level indicators on the public identification framework H _n ; It is the uncertain basic credibility distribution of the upper index due to the index weight; is the uncertain basic credibility distribution of the upper index due to the index weight; β _n is the confidence assigned by the upper index on level n, β _H is the confidence that the upper index is not assigned any level, and S(y) is the upper index Confidence distribution function of indicators at each level.

Using the above evidence reasoning method to iterate, finally obtain the evaluation of the top-level indicators, that is, the evaluation results of the evaluation object.

In this embodiment, it is defined that the standard foreground values at each level are uniformly distributed between [0, 1], that is, V(H _n )=(n-1)/(N-1). According to the confidence distribution function of the evaluation object at each level and the prospect value of the level, the prospect value of the evaluation object, that is, the service quality of the evaluation object, can be calculated.

By repeatedly executing the method provided by the embodiment of the present invention, the foreground values of multiple evaluation objects can be calculated, so that multiple evaluation schemes can be compared.

It can be seen that the present invention can handle multi-source, heterogeneous and variable-type data and improve the scope of application of the method; through the prospect calculation formula, different risk preferences can be used to correspond to evaluation results, improving the objectivity and accuracy of the evaluation results. In addition, the present invention can synthesize complex and comprehensive index systems step by step, obtain final quantitative evaluation results for comparative analysis, and provide reliable references for evaluation schemes.

Fig. 4 is a block diagram of a service quality evaluation device suitable for multidisciplinary minimally invasive treatment provided by an embodiment of the present invention. Referring to Figure 4, the device includes:

A data acquisition module 401, configured to acquire relevant data of a preset number of evaluation indicators corresponding to the evaluation object;

A data preprocessing module 402, configured to preprocess the relevant data of the preset number of evaluation indicators;

An evaluation system construction module 403, used to construct an index evaluation system according to the evaluation purpose and the characteristics of the evaluation object;

Foreground value calculation module 404, used to calculate the standard foreground value of each evaluation index according to the relevant data of the evaluation index after preprocessing;

The service quality evaluation module 405 is configured to calculate the service quality of the evaluation object under the index evaluation system by using the evidence reasoning method and the prospect value of the preset number of evaluation indicators.

Optionally, the data preprocessing module 402 includes:

The qualitative index converting unit is configured to convert the qualitative index in the preset number of evaluation indexes into uniformly distributed interval numbers according to the evaluation level of the qualitative index.

Optionally, the foreground value calculation module 404 includes:

The original prospect value calculation unit is used to calculate the original prospect value of each evaluation index according to the prospect value calculation formula;

The standard prospect value calculation unit is used to standardize the original prospect value of each evaluation index according to the index standardization formula to obtain the standard prospect value of each evaluation index.

Optionally, the prospect value calculation formula is obtained by multiplying a decision weight function and a value function.

Optionally, the service quality evaluation module 405 includes:

The basic reliability conversion module is used to convert the evaluation index data into the form of the basic reliability distribution function under the preset framework according to the prospect value of each evaluation index;

The basic reliability iteration module is used to use the evidence reasoning method to iterate the basic reliability distribution function corresponding to the preset number of evaluation indicators to obtain the reliability distribution function of the evaluation object, and the prospects of each level The value definition gets the corresponding foreground value as the quality of service.

It should be noted that there is a one-to-one correspondence relationship between the device provided in the embodiment of the present invention and the above method, and the implementation details of the above method are also applicable to the above device, and the embodiment of the present invention will not describe the above system in detail.

In the description of the invention, numerous specific details are set forth. However, it is understood that embodiments of the invention may be practiced without these specific details. In some instances, well-known methods, structures and techniques have not been shown in detail in order not to obscure the understanding of this description.

Similarly, it should be appreciated that in the above description of exemplary embodiments of the invention, in order to streamline the present disclosure and to facilitate understanding of one or more of the various inventive aspects, various features of the invention are sometimes grouped together into a single embodiment , figure, or description of it. This method of disclosure, however, is not to be interpreted as reflecting an intention that the claimed invention requires more features than are expressly recited in each claim. Rather, as the following claims reflect, inventive aspects lie in less than all features of a single foregoing disclosed embodiment. Thus, the claims following the Detailed Description are hereby expressly incorporated into this Detailed Description, with each claim standing on its own as a separate embodiment of this invention.

Those skilled in the art can understand that the modules in the device in the embodiment can be adaptively changed and installed in one or more devices different from the embodiment. Modules or units or components in the embodiments may be combined into one module or unit or component, and furthermore may be divided into a plurality of sub-modules or sub-units or sub-assemblies. All features disclosed in this specification (including accompanying claims, abstract and drawings) and any method or method so disclosed may be used in any combination, except where at least some of such features and/or processes or units are mutually exclusive. All processes or units of equipment are combined. Each feature disclosed in this specification (including accompanying claims, abstract and drawings) may be replaced by alternative features serving the same, equivalent or similar purpose, unless expressly stated otherwise.

Furthermore, those skilled in the art will understand that although some embodiments described herein include some features included in other embodiments but not others, combinations of features from different embodiments are meant to be within the scope of the invention. and form different embodiments. For example, in the following claims, any of the claimed embodiments may be used in any combination.

The various component embodiments of the present invention may be implemented in hardware, or in software modules running on one or more processors, or in a combination thereof. Those skilled in the art should understand that a microprocessor or a digital signal processor (DSP) can be used in practice to implement some or all functions of some or all components in a browser terminal device according to an embodiment of the present invention . The present invention can also be implemented as an apparatus or an apparatus program (for example, a computer program and a computer program product) for performing a part or all of the methods described herein. Such a program for realizing the present invention may be stored on a computer-readable medium, or may be in the form of one or more signals. Such a signal may be downloaded from an Internet site, or provided on a carrier signal, or provided in any other form.

It should be noted that the above-mentioned embodiments illustrate rather than limit the invention, and that those skilled in the art will be able to design alternative embodiments without departing from the scope of the appended claims. In the claims, any reference signs placed between parentheses shall not be construed as limiting the claim. The word "comprising" does not exclude the presence of elements or steps not listed in a claim. The word "a" or "an" preceding an element does not exclude the presence of a plurality of such elements. The invention can be implemented by means of hardware comprising several distinct elements, and by means of a suitably programmed computer. In a unit claim enumerating several means, several of these means can be embodied by one and the same item of hardware. The use of the words first, second, and third, etc. does not indicate any order. These words can be interpreted as names.

Finally, it should be noted that: the above embodiments are only used to illustrate the technical solutions of the present invention, rather than limiting them; although the present invention has been described in detail with reference to the foregoing embodiments, those of ordinary skill in the art should understand that: It is still possible to modify the technical solutions described in the foregoing embodiments, or perform equivalent replacements for some or all of the technical features; and these modifications or replacements do not make the essence of the corresponding technical solutions deviate from the technical solutions of the various embodiments of the present invention. All of them should be covered by the scope of the claims and description of the present invention.

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.