CN108108914A - The credible evaluation method of manufacturing service under a kind of cloud manufacturing environment - Google Patents
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Abstract
The present invention provides the credible evaluation method of manufacturing service under a kind of cloud manufacturing environment, and technical field is intelligent Manufacturing Technology field.This method first analyzes the factor for influencing manufacturing service confidence level under cloud manufacturing environment, then the credible assessment indicator system of manufacturing service under a set of cloud manufacturing environment is established, and the credible evaluation model of manufacturing service under cloud manufacturing environment is constructed on this basis, finally the model of structure is solved with Collaborative Filtering Recommendation Algorithm (CFRA), to obtain the confidence level of manufacturing service under cloud manufacturing environment.
Description
Technical field
The present invention relates to the credible evaluation method of manufacturing service under a kind of cloud manufacturing environment, this method is first to influencing cloud manufacture
The factor of manufacturing service confidence level is analyzed under environment, then establishes under a set of cloud manufacturing environment that manufacturing service is credible to be commented
Valency index system, and the credible evaluation model of manufacturing service under cloud manufacturing environment is constructed on this basis, it finally uses and cooperateed with
Filter proposed algorithm (CFRA) solves the model of structure, to obtain the confidence level of manufacturing service under cloud manufacturing environment.The hair
It is bright to belong to intelligent Manufacturing Technology field.
Technical background
The research of cloud manufacturing mode and application accelerate the Manufacturing Models of Chinese manufacturing from traditional " product " type to
" product " adds the paces that " service " type changes, and accelerates Chinese manufacturing and realizes " wisdomization manufacture ", improves the autonomous of manufacturing enterprise
Innovation ability and the comprehensive competitive power to market, so that China ranks among the row of manufacturing industry power of the world.However, due to cloud system
Manufacturing service under modeling formula has the characteristics such as combination, multi-source, dynamic, isomery, with cloud manufacturing service pattern constantly promote with
Using problems with is caused to become particularly pertinent：
1. the manufacturing service in cloud platform is typically to provide service to the user by the form combined, and ought more high-quality valency
When manufacturing recourses in honest and clean manufacturing service access or cloud platform break down, the manufacturing service combined will be caused to need again
Adaptation can be just used by a user, and the asymmetric problem of Transaction Information in cloud platform is caused to become especially prominent.
2. access manufacturing enterprise's moment of cloud platform change, the identity of service provider and party in request is nor one
There is dynamic and the characteristics such as various into constant, information on services, how qualification certification is carried out to service provider, how to ensure to service
Credit between provider and party in request is one of current urgent problem.
3. the manufacturing service for providing high-quality low-cost is one of theory of cloud platform operation, but due to various reasons so that cloud
On platform manufacturing service be distributed geographical location be not quite similar, cause user have to while manufacturing service select integrate examine
Consider the influence of the factors such as logistics, how to select the higher and lower-cost manufacturing service of quality be it is current need to solve great ask
One of topic.
The solution of these problems is obviously closely related with the credible evaluation of manufacturing service, thus it is necessary to be established in cloud platform
A kind of credible evaluation mechanism selects optimal manufacturing service to provide more believable data supporting for the user in cloud platform.In view of
This, the present invention will surround cloud manufacturing environment under manufacturing service the characteristics of and credible evaluation demand, fusion application cloud computing, Internet of Things
Etc. advanced information technology and development technique, the credible evaluation method of manufacturing service under a kind of cloud manufacturing environment is formed, to obtain cloud system
Make the confidence level of manufacturing service under environment.
The content of the invention
The present invention relates to the credible evaluation methods of manufacturing service under a kind of cloud manufacturing environment.This method is analyzing cloud manufacture ring
Under border on the basis of the credible evaluation demand of manufacturing service, to the credible assessment indicator system of manufacturing service, cloud system under cloud manufacturing environment
Make the credible evaluation model of service, cloud manufacturing service is credible, and evaluation model solves etc. is studied, to solve cloud manufacturing environment
The problems such as lower manufacturing service confidence level identification, promote the application and popularization of cloud manufacturing service pattern.The technical scheme is that：
The present invention first analyzes the factor for influencing manufacturing service confidence level under cloud manufacturing environment, and basic herein
Similarity between upper combination user behavior is with recommending reliability, it is proposed that one kind includes cost of serving C, service reliability R, clothes
Punctuality P, service ability A, service timeliness E, information mating capability M, service fault-tolerance F, goodwill degree Cr etc. eight be engaged in greatly
The credible assessment indicator system of manufacturing service under the cloud manufacturing environment of credible evaluation index, based on the credible evaluation index body proposed
System has carried out detailed design to the credible evaluation model of manufacturing service and model solution under cloud manufacturing mode.
The credible evaluation model of manufacturing service under 1 cloud manufacturing mode
1. the quantization of evaluation index
User's evaluation vector I by user using after manufacturing service according to evaluation of the service condition to each credible evaluation index
As a result determine, evaluation is divided into five grades, is represented respectively with " fine, good, general, poor, very poor ", is quantified as 5,4,3,2,1
Point, each pricing vector corresponds to the score value of each credible evaluation index of a manufacturing service, i.e. I=(i1,…,ik,…,ib),
Wherein ikRepresent score value of the user to index k.
2. the composition of user's evaluation matrix
For some user, all score values form an evaluations matrix Z, and one is all corresponded to per a line
The score value of each credible evaluation index of manufacturing service, each row all represent this user to a certain credible all scorings of evaluation index
The set of value, i.e.,Wherein：Represent b credible evaluation indexes of the user k to a manufacturing service
Score value,Represent score values of the user k to the credible evaluation index of jth item of manufacturing service i.
3. evaluate the composition of user
Evaluation user is made of the user for evaluating manufacturing service jointly with target user.It was evaluated jointly with target user
Manufacturing service it is more, then illustrate that this user is more similar to target user's behavior, and recommend reliability it is higher.
In order to preferably to target user recommend its there is an urgent need to and more believable cloud manufacturing service, the present invention propose it is comprehensive
The concept of degree of belief is closed, to describe the similarity degree between user.Comprehensive degree of belief includes the similarity between user behavior
With the reliability of recommendation.The similarity degree between user behavior is analyzed from the similitude of user's evaluation；And pass through and calculate user
The success rate of recommendation evaluates the degree of reliability of the user compared with target user.
The credible evaluation of cloud manufacturing service of the present invention can be by six element group representations：O={ U, V, I, D, X, B },
Wherein：
O represents the credible appraisement system of manufacturing service under cloud manufacturing environment, mainly includes：User collects U, manufacturing service collection V,
Evaluation indice I, evaluation data set D, it is comprehensive to trust angle value collection X and trust evaluation value collection B.
U represents user's collection, by the set that all users for buying manufacturing service form in cloud platform, U={ U1,U2,
U3,…,Um, m >=1 and for integer；
V represents manufacturing service collection, the set being made of manufacturing service all in cloud platform, V={ V1,V2,V3,…,
Vn, n >=1 and for integer；
I represents evaluation indice, I={ C, R, P, A, E, M, F, P, Cr }={ cost of serving, service reliability, service standard
Shi Xing, service ability service timeliness, and information mating capability services fault-tolerance, goodwill degree }；
D represents evaluation data set, stores evaluating data of the user to manufacturing service,
X represents the comprehensive set for trusting angle value, X=(x between target user i and each user1,i,…,xi-1,i,xi +1,i,…,xm,i), wherein xi,jRepresent the synthesis degree of belief between user i and user j；
B represents trust evaluation value collection, and evaluation criterion is divided into two grades by the present invention, when target user manufactures certain
When the prediction score value of service is greater than or equal to set-point a (0 ＜ a ＞ 5), then it is assumed that this manufacturing service is credible for target user's
Manufacturing service, insincere manufacturing service that is on the contrary then being target user.I.e.：V={ V1,V2}={ insincere manufacturing service, it is credible
Manufacturing service }.
It is established in conclusion the present invention has considered on basis of the similarity of user behavior with recommending reliability
The credible evaluation model of manufacturing service under cloud manufacturing mode as shown below：
The method for solving of the credible evaluation model of manufacturing service under 2 cloud manufacturing modes
Manufacturing service under cloud manufacturing mode has a large capacity and a wide range and with the characteristics such as heterogeneous, user wants huge in this scale
It is extremely difficult that more believable manufacturing service is rapidly retrieved in big manufacturing service cloud pond.Collaborative Filtering Recommendation Algorithm is by giving mesh
Mark user finds likes similar user to it, and is mesh according to similar user is liked using the evaluation situation after manufacturing service
Mark user finds its manufacturing service that may be satisfied with, thus Collaborative Filtering Recommendation Algorithm efficient can be retrieved for target user
To more believable manufacturing service.Therefore, the present invention using Collaborative Filtering Recommendation Algorithm to the credible evaluation model that is proposed into
Row solves, and the present invention has carried out this algorithm certain improvement, improves the accuracy of recommendation.Based on collaborative filtering recommending
The model solution process of algorithm is as follows：
1. calculate comprehensive degree of belief
1) similarity is calculated
Similarities of the user i and user j on credible evaluation index kIt can be solved by following formula：
In formula：vkFor a certain manufacturing service on credible evaluation index k；WithRepresent that user i and user j is commented respectively
The set of the manufacturing service of valency is excessively credible evaluation index k；Evaluated the system of credible evaluation index k jointly for user i and user j
Make the set of service；WithScore values of the user i and user j to the credible evaluation index of manufacturing service v kth items is represented respectively；WithAverage score values of the user i and j to the credible evaluation index of manufacturing service kth item is represented respectively.
Since the similarity being calculated has negative value, therefore standardization processing need to be carried out to it, take family i as target user,
Processing method is as follows：
Corresponding threshold α is set by similarity calculation, the condition as evaluation user filtering.
2) reliability is calculated
When user i predicts score values of the user j to the credible evaluation index of kth item of manufacturing service vWith user j to manufacture
Service the actual score value of the credible evaluation index of kth item of vWhen the absolute value of difference is less than specified value ε (ε ＞ 0), it is denoted as
Reliable recommendations are usedIt represents, i.e.,：
User i predicts score values of the user j to the credible evaluation index of kth item of manufacturing service vCalculation formula it is as follows：
Then user j is for reliabilitys of the user i on credible evaluation index kCalculation formula it is as follows：
Wherein,Represent user i to numbers of the user j on credible evaluation index k reliable recommendations；Represent user i
The total degree recommended on credible evaluation index k user j.
Corresponding threshold β is set by reliability calculating, evaluation user is filtered.
3) comprehensive degree of belief is calculated
1) and 2) it is as follows by the calculation formula that can be calculated comprehensive degree of belief：
Wherein, μ is weight of the similarity (similarity after normalization) between reliability.
2. generate nearest-neighbors collection
Nearest-neighbors collection yk(k=C, R ..., Cr represent nearest-neighbors collection of the target user on credible evaluation index k)
U={ u are collected by user1,u2,u3,…,umIn several users composition for most trusting on credible evaluation index k of target user.This
Invention finds nearest-neighbors collection by comprehensive trust angle value, with yCExemplified by its method be：It chooses with target user on credible
The comprehensive r user for trusting angle value maximum of evaluation index C obtains yC。
3. calculate the prediction score value of each credible evaluation index
According to the nearest-neighbors collection y of target userkAnd its trust angle value with the comprehensive of target, target use can be calculated
Family i is to the prediction score value of the credible evaluation index of kth item of unused manufacturing service vIts calculation formula is as follows：
Result of calculation will form the prediction score value matrix F of a unused manufacturing service-credible evaluation index=
(fij)s×t, fijRepresent prediction score value of the target user to the credible evaluation index j of manufacturing service i.
4. the prediction and evaluation value of computational manufacturing service
Since user is inconsistent to the weighting degree of each credible evaluation index when selecting manufacturing service, it is therefore necessary to
To each credible evaluation index distribution weight.Analytic hierarchy process (AHP) is a kind of weight analysis method of brief and practical, is highly suitable for
Multiobjective decision-making, therefore the present invention determines each index weights ω=[ω using analytic hierarchy process (AHP)1,ω2,…,ωt]T, judge square
The marking value (9 points of systems) that battle array A lays particular stress on each credible evaluation index before manufacturing service is bought according to user degree is definite, due to
Analytic hierarchy process (AHP) is a kind of more mature weight analysis method, therefore is repeated no more herein.Then target user is to being not used system
Making the prediction score value of service i can be obtained by following formula：
5. generate recommendation
By giving a threshold a after association area expert's comprehensive assessment, when target user is to being not used the pre- of manufacturing service
When score value of testing and assessing is greater than or equal to a, then this manufacturing service is credible；Conversely, when prediction of the target user to unused manufacturing service
When score value is less than a, then this manufacturing service is insincere, it is assumed that it is { v to calculate for the believable manufacturing service of target user1,
v2,…,vz(z≤s), then：
OptV={ v1,v2,…,vz}
Specific embodiment
The present invention is described in further detail below in conjunction with the accompanying drawings.
As shown in Figure 1, the credible evaluation procedure of manufacturing service is under cloud manufacturing environment：First, adopted by cloud manufacturing service platform
Collection user using the evaluating data evaluated after manufacturing service it and stores；Secondly, cloud platform is evaluated according to these
Data find out several users (nearest-neighbors collection) that degree of belief maximum is integrated with target user by calculating；Again, according to these
User predicts that target user scores to the prediction that manufacturing service is not used using the experience situation after manufacturing service；Finally, root
It is predicted that the believable manufacturing service of target user is found out in scoring.
As shown in Fig. 2, be the credible assessment indicator system of manufacturing service under cloud manufacturing environment, wherein：
(1) cost of serving C
It is total by all kinds of expenses generated during cloud manufacturing service platform acquisition manufacturing service that cost of serving weighs user
The height of sum mainly includes maintenance cost C1With service quotation C2.Maintenance cost refers to expense caused by user management manufacturing recourses
With；Service quotation mainly includes user and uses required service fee and logistics transportation for paying businessman etc. during manufacturing service
Generated expense.
(2) service reliability R
Service reliability weighs the degree of reliability that manufacture service provider provides manufacturing service.In cloud manufacturing service pattern
Under, mainly include manufacturing recourses quality R1, equipment failure rate R2.Manufacturing recourses quality mainly includes processing part qualification rate, system
Make property retention etc..
(3) punctuality P is serviced
It services punctuality and weighs the ability that manufacture service provider successfully provides manufacturing service at the appointed time.It is main
Include service response speed T1, logistics speed T2With service delivery quality T3,.Service response speed refers to that demand for services side is bought
The speed that service provider responds after manufacturing service；Logistics speed refers to transport manufacturing recourses to destination from its location
Speed；Service offering quality refers to that manufacturing service provider delivers quality and quantity of manufacturing recourses etc. and demander requirement
Consistent degree.
(4) service ability A
Service ability weighs the ability that the manufacturing service that manufacture resource provider provides meets user demand, main to comment
Valency index includes can processing environment A1, can machining accuracy A2With can processing type A3Deng.Service ability is stronger, then it represents that manufacture money
The machinable precision in source is higher, can processing type it is more.
(5) timeliness E is serviced
Service timeliness weighs the advanced degree that manufacture service provider provides manufacturing service.It is mainly comprising service
Advanced E1With service renewal speed E2.The advance of service is used for weighing the advanced degree that service provider provides manufacturing recourses；
Service renewal speed is used for evaluating the speed that service provider provides manufacturing recourses update.
(6) information mating capability M
Information mating capability weighs manufacture service provider and provides the information exchange of manufacturing recourses and service interworking ability,
Primary evaluation index includes job scheduling ability M1, process monitoring ability M2With order feedback capability M3。
(7) fault-tolerance F is serviced
Service fault-tolerance weighs the recoverability and substitutability when manufacturing recourses break down in use, mainly
Evaluation index includes equipment maintainability F1, capabilities of technical support F2, maintenance knowledge deposit F3。
(8) goodwill degree Cr
Goodwill degree is used for weighing the prestige that manufacturing service provides enterprise.Its evaluation index mainly includes qualification certification
Cr1, service satisfaction Cr2With Transaction Information Cr3.Qualification certification weighs demand for services side and manufacturing service provider's qualification is recognized
It can degree；Service satisfaction refers to that demand for services side provides service provider the satisfaction of manufacturing service；Transaction Information is used
To weigh the credibility for such as evaluation information that manufacture service provider provides.
Claims (4)
1. the credible evaluation method of manufacturing service under a kind of cloud manufacturing environment, this is credible, and evaluation method is characterized in that：This method is first
First the factor for influencing manufacturing service confidence level under cloud manufacturing environment is analyzed, is then established under a set of cloud manufacturing environment
Assessment indicator system that manufacturing service is credible, and the credible evaluation model of manufacturing service under cloud manufacturing environment is constructed on this basis,
Finally the model of structure is solved with Collaborative Filtering Recommendation Algorithm (CFRA), to obtain manufacturing service under cloud manufacturing environment
Confidence level.
2. the credible assessment indicator system of manufacturing service under cloud manufacturing environment according to claim 1, it is characterised in that：It is described
Cloud manufacturing environment under the credible assessment indicator system of manufacturing service be analyze influence cloud manufacturing environment under manufacturing service it is credible
On the basis of the factor of degree, one kind of proposition includes cost of serving C, service reliability R, service punctuality P, service ability A, service
The cloud manufacturing environment of the eight big credible evaluation indexes such as timeliness E, information mating capability M, service fault-tolerance F, goodwill degree Cr
The lower credible assessment indicator system of manufacturing service.
3. the credible evaluation model of manufacturing service under cloud manufacturing environment according to claim 1, it is characterised in that：The cloud
The credible evaluation model of manufacturing service is the nearest-neighbors collection by finding out target user under manufacturing environment, and according to nearest-neighbors collection
In user whether evaluate this manufacturing service to the service condition of manufacturing service credible for target user.
4. the credible evaluation model method for solving of manufacturing service under cloud manufacturing environment according to claim 1, it is characterised in that：
The credible evaluation model method for solving of manufacturing service is the solution side based on Collaborative Filtering Recommendation Algorithm under the cloud manufacturing environment
Method, and to solve the problems, such as that user is inconsistent to the weighting degree of each credible evaluation index when selecting manufacturing service, adopt
The weight of each index is calculated with analytic hierarchy process (AHP), so as to finally realize the credible evaluation of manufacturing service under cloud manufacturing environment.
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