CN109299550A - A kind of steel structure bridge manufacturing decision evaluation method - Google Patents
A kind of steel structure bridge manufacturing decision evaluation method Download PDFInfo
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Abstract
The present invention provides a kind of steel structure bridge manufacturing decision evaluation method, by carrying out distinguishing hierarchy to steel structure bridge, corresponding manufacturing operation model is established, according to the corresponding manufacturing enterprise's model of manufacturing operation model foundation.Based on manufacturing operation and manufacturing enterprise's Construction of A Model ontology model, alternative enterprise's scheme is obtained by ontology inference.According to the alternative enterprise's scheme constructs multiattribute assessment system obtained, design triangle fuzzy number-TOPSIS method determines weight and realizes the sequence to fabrication scheme, obtains optimizing decision.Steel structure bridge manufacturing decision evaluation method of the present invention, manufacturing operation information model and manufacturing enterprise's information model are matched and establish ontology model, multiple attribute decision making (MADM) appraisement system is established for ontology model, the weight of attribute is determined using Triangular Fuzzy Number, combined structure Triangular Fuzzy Number-TOPSIS method is ranked up scheme and obtains optimizing decision, it realizes adaptive, the autonomous production of steel structure bridge, improves intelligent, the autonomized degree of bridge manufacturing process.
Description
Technical field
The present invention relates to steel structure bridge manufacturing fields, are related to steel structure bridge manufacturing decision, and in particular to a kind of steel knot
Structure bridge manufacturing decision evaluation method.
Background technique
As Internet of Things, information physical emerging system, the number emerging technologies such as twin are in manufacturing development and application, passing
It unites in the manufacture of engineering goods, has been realized in real-time acquisition, processing and the analysis to manufacturing process running state data, improve
The transparence degree of production process.However, the network cooperating established at present for the industrialization construction feature of steel structure bridge
Manufacturing technology is still vacancy, it is difficult to obtain the optimal case of Decision-Making Evaluation in steel structure bridge manufacturing process, and then be difficult to realize
Autonomized, the intelligent production and management of steel structure bridge manufacture.
For the fabrication scheme On The Choice of steel structure bridge, it is known that the design feature and manufacturing process of steel structure bridge,
The best fabrication scheme of steel structure bridge how is accurately described by mathematical method just becomes bottleneck problem.
Summary of the invention
In view of the deficiencies of the prior art, the present invention intends to provide a kind of steel structure bridge manufacturing decision and comment
Valence method solves that the fabrication scheme automated decision-making of steel structure bridge can not be established in the prior art and then realizes steel structure bridge
Automation and intelligentification production with management the technical issues of.
In order to solve the above-mentioned technical problem, the present invention is realised by adopting the following technical scheme, and this method includes following step
It is rapid:
Step 1: first by carrying out distinguishing hierarchy to steel structure bridge, corresponding manufacturing operation model, supplement system are established
Task essential information, mission requirements and particular/special requirement are made, and establishes manufacturing operation essential information model, manufacturing operation requirement respectively
Model and manufacturing operation particular/special requirement model；
Step 2: based on manufacturing operation model, manufacturing operation essential information model, manufacturing operation requirement model and system are established
Make task particular/special requirement model foundation manufacturing operation information model；
Step 3: the management position information based on manufacturing enterprise's essential information, manufacturing enterprise's manufacturing capacity and manufacturing enterprise
Establish manufacturing enterprise's information model；
Step 4: steel structure bridge manufacture matching mould is established based on manufacturing operation information model and manufacturing enterprise's information model
Type obtains alternative enterprise's scheme by ontology inference；
Step 5: the attribute of alternative fabrication scheme model, alternative fabrication scheme is established according to the alternative enterprise's scheme obtained
The weight model of all properties in model and alternative fabrication scheme, and construct initial multiple attribute decision making (MADM) matrix；
Step 6: determine that the Triangular Fuzzy Number of all properties of all schemes is mutual using Triangular Fuzzy Number-TOPSIS method
Judgment matrix is mended, standardization processing is carried out to initial multiple attribute decision making (MADM) matrix using vector transformation, more attributes that obtain standardizing are determined
Plan matrix is solved and is sorted to standardization multiple attribute decision making (MADM) matrix, obtains preferred plan.
Further, in step 5, alternative enterprise's scheme model set P={ P1,P2,…,Pm, PiFor alternative enterprise side
Case, 1≤i≤m, m are the quantity of alternative fabrication scheme；
Set U={ the u of attribute model1,u2,…,un, ujFor the different attribute in some scheme, 1≤j≤m, n are
The quantity of the attribute of some scheme；
Set W={ the w of weight model1,w2,…,wn, wjFor the weight of different attribute in some scheme, 1≤j≤m,
All weight definitions are as follows: w1+w2+…+wn=1；
According to the power of all properties in alternative fabrication scheme model, the attribute model of corresponding specific some scheme and the program
The initial multiple attribute decision making (MADM) matrix X of weight model construction is as follows:
Wherein, xijFor the initial decision evaluation index of j-th of attribute of i-th of scheme in initial multiple attribute decision making (MADM) matrix
Value.
Further, step 6 the following steps are included:
A) rememberFor Triangular Fuzzy Number, the desired value of Triangular Fuzzy Number is definedCalculation formula are as follows:
Wherein, 0≤λ≤1, aLFor most conservative evaluation of estimate, aMFor most probable
Evaluation of estimate, aUFor most optimistic evaluation of estimate；
B) attribute is evaluated according to evaluation purpose and evaluation index two-by-two, establishes triangular fuzzy number complementary judgment matrix, kth time
The triangular fuzzy number complementary judgment matrix A of assessmentk,WhereinIn formulaPoint
Not Biao Shi most conservative evaluation of estimate of obtained i-th of the evaluation index of expert system kth time assessment relative to j-th of evaluation index,
Most probable evaluation of estimate and most optimistic evaluation of estimate；
C) evaluation of estimate is assembled with weight, obtains the synthesis triangular fuzzy number complementary judgment matrix about evaluation index
Element:
In formula: i, j=1,2 ..., n, k are assessment number；ωkFor the authority of expert system kth time assessment；
D) for the Triangular Fuzzy Number weight of i-th of indexIt is calculated using following formula:
In formula,Indicate most conservative evaluation of estimate of i-th of evaluation index relative to j-th of evaluation index；Indicate i-th
Most probable evaluation of estimate of a evaluation index relative to j-th of evaluation index；Indicate that i-th of evaluation index is commented relative to j-th
The most optimistic evaluation of estimate of valence index；
E) policymaker takes neutral attitude herein, therefore takes λ=0.5, and desired value calculation formula becomes:
F) the weight ω of the ith attribute of each scheme in alternative enterprise's scheme set P is calculatedi,
G) weight statistics is carried out to more attributes of each of P scheme, establishes the triangle of all properties of all schemes
Complementary Judgment Matrices with Fuzzy Numbers, using vector transformation method using triangular fuzzy number complementary judgment matrix to initial multiple attribute decision making (MADM)
Matrix carries out standardization processing, obtains standardization multiple attribute decision making (MADM) matrix Y,
Wherein, yijIndicate the weight of j-th of attribute of i-th of scheme；
H) the set C of ideal solution scheme is determined according to standardization multiple attribute decision making (MADM) matrix numerical valuej *With minus ideal result scheme
Set Cj 0, calculate weighted euclidean distance d of each scheme away from ideal solution and minus ideal resultj *And dj 0And comprehensive degree of approach index
fj；
I) all schemes are ranked up from small to large according to comprehensive degree of approach index, the comprehensive maximum side of degree of approach index
Case is preferred plan.
Further, attitudes toward risk of the selection of λ depending on policymaker in step a):
When policymaker is biased to optimism, 0.5 < λ < 1；
When policymaker is biased to pessimistic attitude, 0 < λ < 0.5.
Further, step f) further includes the consistency checking to weighted value, and the judge index CI of consistency checking is calculated
Formula are as follows:
In formula:Maximum characteristic root value；ForExpectation,
Consistency judgement factor CR calculation formula are as follows:In formula: RI is flat
Equal random index；As CR < 0.1, then it is assumed that Triangular Fuzzy Number judgment matrix is by consistency check, if it can't pass
Re-establish Triangular Fuzzy Number judgment matrix.
Aver-age Random Consistency Index RI is related with the dimension of judgment matrix, and specific corresponding relationship is as follows:
| Matrix dimension | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 |
| RI | 0 | 0 | 0.58 | 0.90 | 1.12 | 1.24 | 1.32 | 1.41 | 1.45 |
Further, in step 1, steel structure bridge according to being in turn divided into from low to high: characteristic layer, segment layer, spanning
Layer and bridge layer.
Further, in step 3, the mathematical description of manufacturing enterprise's information model are as follows: ME={ ME_Basic, ME_
Capacity, ME_Status, ME_Auxiliary }, wherein ME_Basic indicates the essential information of manufacturing enterprise, ME_
Capacity indicates the manufacturing capacity of manufacturing enterprise, and ME_Status indicates the status information of enterprise, and ME_Auxiliary indicates enterprise
The auxiliary information of industry.
Compared with prior art, the present invention having the following technical effect that
A kind of steel structure bridge manufacturing decision evaluation method proposed by the present invention is drawn by carrying out level to steel structure bridge
Point, corresponding manufacturing operation model is established, according to the corresponding manufacturing enterprise's model of manufacturing operation model foundation, manufacturing operation is believed
Breath model and manufacturing enterprise's information model match and establish ontology model, obtain alternative enterprise's scheme, root by ontology inference
According to the alternative enterprise's scheme constructs multiattribute assessment system obtained, the weight of attribute is determined using Triangular Fuzzy Number, in conjunction with
TOPSIS method construct Triangular Fuzzy Number-TOPSIS method is ranked up and obtains according to comprehensive degree of approach exponential size to scheme
Optimizing decision lays the foundation for adaptive, the autonomous production of steel structure bridge, improves intelligence, the autonomy of bridge manufacturing process
Change degree.
Detailed description of the invention
Fig. 1 is the implementation steps figure of steel structure bridge manufacturing decision evaluation method；
Fig. 2 is manufacturing operation information model figure；
Fig. 3 is manufacturing enterprise's information model figure.
Specific embodiment
In compliance with the above technical solution, specific embodiments of the present invention are given below, it should be noted that the present invention not office
It is limited to following specific embodiments, all equivalent transformations made on the basis of the technical solutions of the present application each falls within protection model of the invention
It encloses.
Embodiment:
S bridge location is in Shaanxi Province border of the county, being built in 2001, since the use that overloads causes under the bridge bearing capacity throughout the year
Drop.In order to guarantee the operation security of bridge, is entrusted by local Highway Administration, reconnaissance trip, and needle have been carried out to the bridge disease
Construction drawing design work is carried out to the bridge disease.Construct again superstructure and bridge deck is finally determined, using steel plate combination
The new structural scheme of beam.
Scheme is to guarantee build guality, mainly has following regulation to the manufacture view of steel structure bridge:
(1) steel structure bridge manufacturing enterprise must have corresponding steel construction processing and manufacturing second level and the above qualification.
(2) girder steel construction and examination must use the measurement instrument through measurement verification qualification, and should operate by pertinent regulations.
(3) girder steel should meet the regulation of GB/T 1591-2008 using steel.
(4) scheme that factory's manufacture carries out Plate division can construct after original design unit must be reported to confirm.
(5) cutting and edge processing: this bridge steel construction plate should use gas flame cuttiug, the cutting of main parts size in principle
It should pay the utmost attention to using accurate cutting such as numerical control, automatic, semi-automatic cutting.
Referring to Fig.1, the present embodiment provides a kind of steel structure bridge manufacturing decision evaluation method, comprising the following steps:
Step 1 is appointed first by carrying out distinguishing hierarchy to steel structure bridge according to the task creation of each level layer
It is engaged in information model, and then establishes corresponding manufacturing operation model, supplement manufacturing operation essential information, mission requirements and special want
It asks, and establishes manufacturing operation essential information model, manufacturing operation requirement model and manufacturing operation particular/special requirement model respectively；
Step 2 requires model and manufacture to appoint based on manufacturing operation model, manufacturing operation essential information model, manufacturing operation
Business particular/special requirement model foundation manufacturing operation information model；
Step 3, the management position information based on manufacturing enterprise's essential information, manufacturing enterprise's manufacturing capacity and manufacturing enterprise
Establish manufacturing enterprise's information model；
Step 4 establishes ontology model based on manufacturing operation information model and manufacturing enterprise's information model, and ontology model is
Steel structure bridge manufactures Matching Model, obtains alternative enterprise's scheme by ontology inference；
Step 5 establishes corresponding alternative enterprise's scheme model, corresponding tool according to alternative enterprise's scheme that step 4 obtains
The weight model of all properties in the attribute model and the program of body some scheme, and construct initial multiple attribute decision making (MADM) matrix；
Step 6 determines that the Triangular Fuzzy Number of all properties of all schemes is sentenced using Triangular Fuzzy Number-TOPSIS method
Disconnected matrix carries out standardization processing to initial multiple attribute decision making (MADM) matrix using vector transformation, obtains standardization multiple attribute decision making (MADM) square
Battle array is solved and is sorted to standardization multiple attribute decision making (MADM) matrix, obtains preferred plan.
The method of the present invention includes two parts:
First part establishes ontology model, obtains alternative enterprise's scheme by ontology inference, including above-mentioned steps one are to step
Rapid four；
Second part establishes initial more attributes and comments decision matrix, and standardized by Triangular Fuzzy Number-TOPSIS method
Change multiple attribute decision making (MADM) matrix, and then obtain preferred plan, including above-mentioned steps five are to step 6.
First part: establishing ontology model, and the manufacturing operation for describing steel structure bridge first has to its clear hierarchical structure.It is logical
Cross the element that manufacturing operation is determined to the analysis of level.
Referring to Fig. 2, steel structure bridge is in turn divided by step 1 from low to high according to level: characteristic layer, segment layer,
Spanning layer, bridge layer.
(1) characteristic layer
Characteristic layer is the minimum level of steel structure bridge, can not continue to segment.The feature of steel structure bridge includes:
1., material characteristics M: manufacture steel structure bridge the first step be buying material, mainly include fashioned iron, steel plate and company
Fitting.Such as use different materials (such as Q345B) hot rolling or welded H section steel；Some materials (such as steel plate) are needed together with related credentials
It delivers goods together, manufacturing enterprise just needs to record the information such as relevant certificate, lot number to ensure that quality information can be chased after
Track.
2., shape feature: the shape feature of steel structure bridge mainly has body (H-type, I type etc.), face (rubbing surface, coating surface
Deng), hole (bolt hole etc.), slot (X-type groove, double V-groove, U-shaped groove etc.), assembly (be bolted, weld).
3. accuracy characteristic A: accuracy characteristic mainly has: derusting by sandblasting grade, surface roughness, coating thickness and machining accuracy
(dimensional accuracy, form accuracy and position precision).
4. geometrical characteristic G: geometrical characteristic is used to describe the geometric dimension of manufacturing operation.
5. technology characteristics T: technique is the method and process that steel structure bridge expects finished product from former material, specific processing technology
See 2.3 trifles.
6. operation resource feature R: implementing set of the resource of processing technology, including personnel, equipment etc..
(2) segment layer
It is characterized in the element of segment, segment is the set of feature.And segment is the smallest manufacture list that enterprise executes manufacture
Member.The manufacturing operation of segment layer is indicated with T_Se herein.According to the definition of features above, the manufacturing operation of segment layer is carried out
Ensemble is described as follows:
T_Sei={ M, S, A, G, T, R }
In formula: T_SeiIndicate the manufacturing operation for the segment that number is i.
(3) spanning layer: spanning layer is the set of all segments between two bridge piers, and segment passes through connection composition spanning.Gu Qiao
The manufacturing operation of cross-layer is the set of the manufacturing operation of segment layer.Ensemble indicates are as follows:
T_Bsj={ T_SeiI=1,2,3 ..., n
In formula: T_BsjIndicate the manufacturing operation for the segment layer that number is j.
(4) bridge layer: representing bed rearrangement steel structure bridge, is the set of all spanning layers.So the manufacturing operation of bridge layer
It is the set of spanning layer manufacturing operation, is total manufacturing operation.Ensemble indicates are as follows:
T_B={ T_BsjJ=1,2,3 ..., m
In formula: T_B indicates bridge layer manufacturing operation.
The processing and manufacturing of steel structure bridge is only unable to complete by above description, it is also necessary to by step 2 supplement it is some its
The further perfect information model of his necessary information.
Step 2, the essential information T_Basic: essential information of manufacturing operation include the title of manufacturing operation, number and appoint
The publisher of business, is shown below.
T_Basic={ T_name, T_id, T_customer }
In formula: T_name is the title of manufacturing operation；T_id is the number of manufacturing operation；T_customer is manufacturing operation
Publisher.
Some manufacturing operation will also be defined it, propose corresponding require.For the system of steel structure bridge
Task is made, delivery date, cost, qualification and the requirement for executing standard are generally comprised.The requirement T_Requirement of manufacturing operation is retouched
It states as follows:
T_Requirement={ duedate, cost, qualification, standard }
In formula: duedate is delivery date；Cost is cost requirement；Qualification is qualification requirement；standard
To execute standard.
The manufacturing operation of steel structure bridge should also include the requirement of special equipment and tooling.Particular/special requirement T_
Special is indicated, is described with following formula.
T_special={ s_equipment, s_tools }
In formula: s_equipment indicates special installation；S_tools indicates special tooling.
Synthesis assembles each element, and the manufacturing operation MT's of steel structure bridge is described as follows:
MT={ T_Basic, T_B, T_Requirement, T_Special }
Referring to Fig. 3, step 3: the foundation of manufacturing enterprise's information model, the mathematical description of manufacturing enterprise's information model are as follows:
ME={ ME_Basic, ME_Capacity, ME_Status, ME_Auxiliary },
Including:
The essential information ME_Basic={ E_name, E_location, E_contact } of manufacturing enterprise,
The manufacturing capacity ME_Capacity={ C-M, C-S, C-A, C-G, C-T, C-R } of manufacturing enterprise,
The status information ME_Status={ E-status, E-qualification } of enterprise,
The auxiliary information ME_Auxiliary={ OTD, Qualified-rate, M-experience } of enterprise.
E_name is manufacturing enterprise's title, and E_location is enterprise guard station, and E_contact is Enterprise linkage mode；
C-M, C-S, C-A, C-G, C-T, C-R are the evaluation of enterprise's manufacturing capacity, respectively can provide material, and shape can be processed
Precision can be processed in shape, size can be processed, it is possible to provide processing technology, it is possible to provide operation resource；
E-status be manufacturing enterprise management position, including survival, in industry, revoke, nullify, move into, stop doing business and clear；
E-qualification is manufacturing enterprise's qualification；
OTD is on-time-delivery rate, and Qualified-rate is manufacturing enterprise's qualification rate, and M-experience is enterprise's manufacture
Experience.
Step 4: steel structure bridge manufacture matching mould is established according to manufacturing operation information model and manufacturing enterprise's information model
Type, carries out ontology editing using Ontology Editing Tool, carries out ontology inference by Jena inference machine, constructs accurate complete ontology
Model converts the intelligible model of computer for conceptual model, obtains alternative enterprise's option b1~B4。
Step 5: second part establishes corresponding alternative enterprise's scheme model, corresponding tool according to above-mentioned alternative enterprise's scheme
The weight model of all properties in the attribute model and the program of body some scheme, and construct initial multiple attribute decision making (MADM) matrix.
Above-mentioned alternative enterprise's scheme model set is described as P={ P1,P2,…,Pm, m is the quantity of fabrication scheme；Belong to
The ensemble of property model is described as U={ u1,u2,…,un, n is the quantity of the attribute of some scheme；The set of weight model
Change is described as W={ w1,w2,…,wn, all weight definitions are as follows: w1+w2+…+wn=1；
According to the power of all properties in alternative enterprise's scheme model, the attribute model of corresponding specific some scheme and the program
The initial multiple attribute decision making (MADM) matrix of weight model construction is as follows:
Wherein, xijFor the initial decision evaluation index of j-th of attribute of i-th of scheme in initial multiple attribute decision making (MADM) matrix
Value, such as the cost that the initial decision evaluation index value of cost nature is spent for the execution program.
Step 6: specifically includes the following steps:
A) rememberFor Triangular Fuzzy Number, the desired value calculation formula of Triangular Fuzzy Number is defined are as follows:
B) automatic reasoner is established according to the related data of evaluation purpose and evaluation index, using 0.1~0.9 scale (0.1
1.1)~0.9 scale setting table, which is shown in Table, evaluates two-by-two the importance of attribute and is extended to Triangular Fuzzy Number, then establish triangle
Complementary Judgment Matrices with Fuzzy Numbers carries out five assessments, to B in expert system1~B4The specific data of assessment are as shown in table 1.2.
1.1 0.1~0.9 scale of table sets table
1.2 triangular fuzzy number complementary judgment matrix of table
The weight of expert system five times assessments is respectively as follows: 0.3,0.1,0.2,0.3,0.1.Comprehensive weight obtains comprehensive triangle
Complementary Judgment Matrices with Fuzzy Numbers, specific value are as shown in table 2.
Table 2 integrates triangular fuzzy number complementary judgment matrix
By upper table, the Triangular Fuzzy Number weight of each index is calculated according to formula 2, as shown in table 3.
3 Triangular Fuzzy Number weight of table
According to formula 3 and formula 4, it is as follows that each index weight value can be found out in conjunction with upper table:
According to above-mentioned steps, successively the weight of the two-level index under These parameters is assessed, is calculated.C1And C2's
Weight computing process is as follows:
4 triangular fuzzy number complementary judgment matrix of table
5 Triangular Fuzzy Number weight of table
C1And C2Weight it is as follows:
C3To C7Weight calculating process it is as follows:
6 triangular fuzzy number complementary judgment matrix of table
Table 7 integrates triangular fuzzy number complementary judgment matrix
According to upper table, C is calculated3To C7Triangular Fuzzy Number weight, as shown in table 8 below.
8 Triangular Fuzzy Number weight of table
C is calculated according to upper table3To C7Weight it is as follows:
C8And C9Weight calculating process it is as follows:
9 triangular fuzzy number complementary judgment matrix of table
Table 10 integrates triangular fuzzy number complementary judgment matrix
11 Triangular Fuzzy Number weight of table
It obtainsWithNumerical value it is as follows:
C10And C11Weight calculating process it is as follows:
12 triangular fuzzy number complementary judgment matrix of table
Table 13 integrates triangular fuzzy number complementary judgment matrix
14 Triangular Fuzzy Number weight of table
Obtain C10And C11Weight it is as follows:
The calculated result statistics of above-mentioned weight is as shown in Table 15.
15 weight of table statistics
The steel structure bridge manufacturing operation information model of foundation with Steel structure manufacturing enterprises information model by matching
To four sets of alternative enterprise's schemes.Standardization processing is carried out to initial multiple attribute decision making (MADM) matrix using vector transformation, is standardized
Multiple attribute decision making (MADM) matrix is solved and is sorted to standardization multiple attribute decision making (MADM) matrix, obtains preferred plan.
Data after initial data and standardization processing are as shown in table 16.Wherein data × 10 after standardization processing-6。
16 initial data of table and standardization processing
After the weight in table 15, weighted normal matrix can be obtained.Its specific value is as shown in table 16.
17 weighted normal matrix numerical value of table
It notices that C1, C2, C8 belong to negative attribute, therefore is minimized in ideal solution scheme set, in minus ideal result scheme
It is maximized in set.In conjunction with upper table it is found that the set of ideal solution schemeAre as follows:
The set of minus ideal result schemeAre as follows:
Weighted euclidean distance of four kinds of schemes away from ideal solution and minus ideal resultIt is respectively as follows:
Calculate comprehensive degree of approach index fiAre as follows: fi=[0.9178,0.745,0.797,0.203]
Scheme is ranked up to obtain from small to large according to comprehensive degree of approach index: X4<X2<X3<X1.Therefore scheme one is most
Good scheme, it is preferential to select, and scheme three is alternatively.
Claims (8)
1. a kind of steel structure bridge manufacturing decision evaluation method, method includes the following steps:
Step 1: first by carrying out distinguishing hierarchy to steel structure bridge, corresponding manufacturing operation model is established, supplement manufacture is appointed
Business essential information, mission requirements and particular/special requirement, and manufacturing operation essential information model, manufacturing operation requirement model are established respectively
With manufacturing operation particular/special requirement model；
Step 2: based on manufacturing operation model, manufacturing operation essential information model, manufacturing operation requirement model and manufacture times are established
Business particular/special requirement model foundation manufacturing operation information model；
Step 3: based on manufacturing operation information model establish alternative fabrication scheme model, alternative fabrication scheme attribute model and
The weight model of all properties in alternative fabrication scheme, and construct initial multiple attribute decision making (MADM) matrix；
Step 4: determine that the triangle of all properties of all alternative fabrication schemes is fuzzy using Triangular Fuzzy Number-TOPSIS method
Number Complementary Judgement Matrix carries out standardization processing to initial multiple attribute decision making (MADM) matrix using vector transformation, obtains belong to of standardizing more
Property decision matrix, to standardization multiple attribute decision making (MADM) matrix solved and sorted, obtain preferred plan.
2. steel structure bridge manufacturing decision evaluation method as described in claim 1, which is characterized in that alternative to look forward in step 3
Industry scheme model set P={ P1,P2,…,Pm, PiFor alternative enterprise's scheme, 1≤i≤m, m are the quantity of alternative fabrication scheme；
Set U={ the u of attribute model1,u2,…,un, ujFor the different attribute in some scheme, 1≤j≤m, n are some
The quantity of the attribute of scheme；
Set W={ the w of weight model1,w2,…,wn, wjFor the weight of different attribute in some scheme, 1≤j≤m owns
Weight definition are as follows: w1+w2+…+wn=1；
According to the weight mould of all properties in alternative fabrication scheme model, the attribute model of corresponding specific some scheme and the program
The initial multiple attribute decision making (MADM) matrix X of type building is as follows:
Wherein, xijFor the initial decision evaluation index value of j-th of attribute of i-th of scheme in initial multiple attribute decision making (MADM) matrix.
3. steel structure bridge manufacturing decision evaluation method as claimed in claim 2, which is characterized in that step 4 includes following step
It is rapid:
A) rememberFor Triangular Fuzzy Number, the desired value of Triangular Fuzzy Number is definedCalculation formula are as follows:
Wherein, 0≤λ≤1, aLFor most conservative evaluation of estimate, aMFor most probable evaluation
Value, aUFor most optimistic evaluation of estimate；
B) attribute is evaluated according to evaluation purpose and evaluation index two-by-two, establishes triangular fuzzy number complementary judgment matrix, kth time assessment
Triangular fuzzy number complementary judgment matrixWhereinIn formula
It respectively indicates expert system kth time and assesses most conservative evaluation of i-th obtained of the evaluation index relative to j-th of evaluation index
Value, most probable evaluation of estimate and most optimistic evaluation of estimate；
C) evaluation of estimate is assembled with weight, obtains the synthesis triangular fuzzy number complementary judgment matrix member about evaluation index
Element:
In formula: i, j=1,2 ..., n, k are assessment number；ωkFor the authority of expert system kth time assessment；
D) for the Triangular Fuzzy Number weight of i-th of indexIt is calculated using following formula:
In formula,Indicate most conservative evaluation of estimate of i-th of evaluation index relative to j-th of evaluation index；Indicate i-th of evaluation
Most probable evaluation of estimate of the index relative to j-th of evaluation index；Indicate i-th of evaluation index relative to j-th of evaluation index
Most optimistic evaluation of estimate；
E) policymaker takes neutral attitude herein, therefore takes λ=0.5, and desired value calculation formula becomes:
F) the weight ω of the ith attribute of each scheme in alternative enterprise's scheme set P is calculatedi,
G) weight statistics is carried out to more attributes of each of P scheme, the triangle for establishing all properties of all schemes is fuzzy
Number Complementary Judgement Matrix, using vector transformation method using triangular fuzzy number complementary judgment matrix to initial multiple attribute decision making (MADM) matrix
Standardization processing is carried out, standardization multiple attribute decision making (MADM) matrix Y is obtained,
Wherein, yijIndicate the weight of j-th of attribute of i-th of scheme；
H) the set C of ideal solution scheme is determined according to standardization multiple attribute decision making (MADM) matrix numerical valuej *With the set of minus ideal result scheme
Cj 0, calculate weighted euclidean distance d of each scheme away from ideal solution and minus ideal resultj *And dj 0And comprehensive degree of approach index fj；
I) all schemes are ranked up from small to large according to comprehensive degree of approach index, the comprehensive maximum scheme of degree of approach index is
For preferred plan.
4. steel structure bridge manufacturing decision evaluation method as claimed in claim 3, which is characterized in that the selection of λ in step a)
Attitudes toward risk depending on policymaker:
When policymaker is biased to optimism, 0.5 < λ < 1；
When policymaker is biased to pessimistic attitude, 0 < λ < 0.5.
5. steel structure bridge manufacturing decision evaluation method as claimed in claim 3, which is characterized in that step f) further includes to power
The consistency checking of weight values, the judge index CI calculation formula of consistency checking are as follows:
In formula: λmaxForMaximum characteristic root value；ForExpectation,
Consistency judgement factor CR calculation formula are as follows:In formula: RI is Aver-age Random Consistency Index；As CR < 0.1, then
Think that Triangular Fuzzy Number judgment matrix by consistency check, re-establishes Triangular Fuzzy Number judgment matrix if it can't pass.
6. steel structure bridge manufacturing decision evaluation method as described in claim 1, which is characterized in that in step 1, steel construction
Bridge according to being in turn divided into from low to high: characteristic layer, segment layer, spanning layer and bridge layer.
7. steel structure bridge manufacturing decision evaluation method as described in claim 1, which is characterized in that in step 3, be based on
Manufacturing operation information model and manufacturing enterprise's information model establish steel structure bridge manufacture Matching Model, are obtained by ontology inference
Alternative enterprise scheme；Then the attribute mould of alternative fabrication scheme model, alternative fabrication scheme is established further according to alternative enterprise's scheme
The weight model of all properties in type and alternative fabrication scheme.
8. steel structure bridge manufacturing decision evaluation method as claimed in claim 7, which is characterized in that in step 3, manufacture enterprise
The mathematical description of industry information model are as follows: ME={ ME_Basic, ME_Capacity, ME_Status, ME_Auxiliary },
In, ME_Basic indicates the essential information of manufacturing enterprise, and ME_Capacity indicates the manufacturing capacity of manufacturing enterprise, ME_Status
Indicate the status information of enterprise, ME_Auxiliary indicates the auxiliary information of enterprise.
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