CN106845680A - A kind of rail line transferring methods of comparison and selection and device - Google Patents

Abstract

The invention discloses a kind of road traffic route transferring methods of comparison and selection and device, it is related to field of traffic, by the every Consideration for determining rail line transferring, and determine original decision information of each policymaker to indices, ideal solution in limited scheme is determined according to original decision information, according to each scheme and the distance of ideal solution, determine required scheme, wherein, original decision information and weight are represented using two type fuzzy numbers, by the method, every Consideration of rail line transferring is considered, the accuracy than selecting result is improve by two type fuzzy numbers, realize carries out rail line transferring than choosing with reference to track traffic actual conditions.

Description

A kind of rail line transferring methods of comparison and selection and device

Technical field

The present invention relates to field of traffic, more particularly to a kind of rail line transferring methods of comparison and selection and device.

Background technology

There is the scheme of heterogeneity, different scales in each stage identified project and carry out rail line design Compare., than the important work that choosing is in track traffic design, not only concern is big, than selecting scope for circuit transferring Greatly, it is necessary to consider the factor of each side.

Traditional Decision Making of Line Schemes methods of comparison and selection is substantially economically pursued operation of engineering projects expense and is most saved, and combines to each side The analysis of the qualitative factors such as the technical conditions of case, social and environmental impact factor draws optimal case, and the method is plugged into circuit The research of scheme comparison is perfect not enough.

For make circuit transferring than select Consideration fully combined with live traffic, how from operation convenience, transport The aspects such as battalion's flexibility, operation adaptability, construction scale, transfer convenience are carried out to circuit transferring, than choosing, not to be had also at present There is preferably methods of comparison and selection.

The content of the invention

The present invention provides a kind of rail line transferring methods of comparison and selection and device, is used to realize combining track traffic Actual conditions carry out rail line transferring than choosing.

According to one aspect of the present invention, there is provided a kind of rail line transferring methods of comparison and selection, including：

It is determined that treating that the rail line of selection is plugged into scheme analysis；

Determine every Consideration of rail line transferring, and determine each policymaker to the original of indices Decision information and weight；

The ideal solution and each scheme and ideal solution in limited scheme are determined according to the original decision information and weight Distance, required scheme is determined according to the distance, the original decision information and weight use two type fuzzy numbers Represent.

Further, it is described that ideal solution in limited scheme and each side are determined according to the original decision information and weight Case and the distance of ideal solution, required scheme is determined according to the distance, is specifically included：

According to each policymaker to the original decision information and weight of indices, determined respectively for each scheme The average two types fuzzy number of synthesis of item Consideration, the average two types fuzzy number of synthesis according to every Consideration, it is determined that The initial decision matrix of standardization；

Initial decision matrix according to the standardization determines ideal solution and each scheme and ideal solution in limited scheme Distance, required scheme is determined according to the distance.

Further, the initial decision matrix according to the standardization determines the ideal solution in limited scheme and each side Case and the distance of ideal solution, required scheme is determined according to the distance, is specifically included：

Initial decision matrix according to standardization determines the ideal solution in limited scheme；

For each scheme, it is determined that under multiple Truncated set levels corresponding all schemes fuzzy relative similarity, go forward side by side Row de-fuzzy, obtains de-fuzzy value；

For each scheme, according to the de-fuzzy value, the distance of the program and ideal solution is determined；

According to the attribute of ideal solution, it is determined that closest with positive ideal solution or with minus ideal result be apart from farthest scheme Required scheme.

Further, it is described according to each policymaker to the original decision information and weight of indices, for every Individual scheme determines the average two types fuzzy number of the synthesis of every Consideration, the synthesis average two according to every Consideration Type fuzzy number, it is determined that the initial decision matrix of standardization, specifically includes：

According to each policymaker to the original decision information of indices, the decision-making of Fuzzy Multiple Attribute Decision Making problem is determined Scheme collection isProperty set is C={ c₁,c₂,...,c_m}；

For option A_j(j=1,2 ..., m), according to attribute c_iEstimated, obtained A_j(j=1,2 ..., m) on c_i (i=1,2 ..., property value n) is Triangular Fuzzy NumberConstitute fuzzy decision matrix

W=[ω₁,ω₂,...,ω_n]^T

Wherein, W is the weight vectors of attribute, and meets ω_i>=0 He

If Triangular Fuzzy NumberAnd specified decision matrixIt is right In income type variable,For cost type variable, Wherein,

Further, it is described for each scheme, it is determined that under multiple Truncated set levels corresponding all schemes fuzzy phase To similarity, and de-fuzzy is carried out, obtain de-fuzzy value, specifically included：

The multiple cut set value α of setting, and determine under each cut set value α, alternative A_iWith ideal solution A^*Relative similarity Higher limit and lower limit：

Wherein,WithIt is respectively x_ijAnd ω_jCollection in cut set value α Close；

Determine that de-fuzzy value is：

The embodiment of the present invention correspondingly provides a kind of rail line transferring than screening device, including：

Scheme determination unit, the rail line for determining to treat selection is plugged into scheme analysis；

Decision information determining unit, the every Consideration for determining rail line transferring, and determine each Original decision information and weight of the policymaker to indices；

Than menu unit, for determining the ideal solution in limited scheme and each according to the original decision information and weight Scheme and the distance of ideal solution, required scheme is determined according to the distance, and the original decision information and weight make Represented with two type fuzzy numbers.

Further, it is described than menu unit specifically for：

According to each policymaker to the original decision information and weight of indices, determined respectively for each scheme The average two types fuzzy number of synthesis of item Consideration, the average two types fuzzy number of synthesis according to every Consideration, it is determined that The initial decision matrix of standardization；

Initial decision matrix according to the standardization determines ideal solution and each scheme and ideal solution in limited scheme Distance, required scheme is determined according to the distance.

Further, the ideal determined according to the initial decision matrix of the standardization than menu unit in limited scheme Solution, according to each scheme and the distance of ideal solution, determines required scheme, specifically includes：

Initial decision matrix according to standardization determines the ideal solution in limited scheme；

For each scheme, it is determined that under multiple Truncated set levels corresponding all schemes fuzzy relative similarity, go forward side by side Row de-fuzzy, obtains de-fuzzy value；

For each scheme, according to the de-fuzzy value, the distance of the program and ideal solution is determined；

According to the attribute of ideal solution, it is determined that closest with positive ideal solution or with minus ideal result be apart from farthest scheme Required scheme.

Further, it is described than menu unit according to each policymaker to the original decision information and power of indices Weight, determines the average two types fuzzy number of the synthesis of every Consideration, according to every Consideration for each scheme Comprehensive average two types fuzzy number, it is determined that the initial decision matrix of standardization, specifically includes：

According to each policymaker to the original decision information of indices, the decision-making of Fuzzy Multiple Attribute Decision Making problem is determined Scheme collection isProperty set is C={ c₁,c₂,...,c_m}；

For option A_j(j=1,2 ..., m), according to attribute c_iEstimated, obtained A_j(j=1,2 ..., m) on c_i (i=1,2 ..., property value n) is Triangular Fuzzy NumberConstitute fuzzy decision matrix

W=[ω₁,ω₂,...,ω_n]^T

Wherein, W is the weight vectors of attribute, and meets ω_i>=0 He

If Triangular Fuzzy NumberAnd specified decision matrixIt is right In income type variable,For cost type variable, Wherein,

Further, it is described more first than menu for each scheme, it is determined that corresponding all schemes under multiple Truncated set levels Fuzzy relative similarity, and carry out de-fuzzy, obtain de-fuzzy value, specifically include：

The multiple cut set value α of setting, and determine under each cut set value α, alternative A_iWith ideal solution A^*Relative similarity Higher limit and lower limit：

Wherein,WithIt is respectively x_ijAnd ω_jCollection in cut set value α Close；

Determine that de-fuzzy value is：

The present invention has the beneficial effect that：Rail line transferring methods of comparison and selection provided in an embodiment of the present invention and dress Put, by determining every Consideration of rail line transferring, and determine each policymaker to the original of indices Decision information, the ideal solution in limited scheme is determined according to original decision information, according to each scheme and the distance of ideal solution, it is determined that Go out required scheme, wherein, original decision information and weight are represented using two type fuzzy numbers, with it, comprehensive examine Consider every Consideration of rail line transferring, the accuracy than selecting result improve by two type fuzzy numbers, Realize carries out rail line transferring than choosing with reference to track traffic actual conditions.

Brief description of the drawings

In order to illustrate more clearly about the embodiment of the present invention or technical scheme of the prior art, below will be to embodiment or existing The accompanying drawing to be used needed for having technology description is briefly described, it should be apparent that, drawings in the following description are only Some embodiments of the present invention, for those of ordinary skill in the art, on the premise of not paying creative work, may be used also Other accompanying drawings are obtained with according to these accompanying drawings.

Fig. 1 is rail line transferring methods of comparison and selection flow chart provided in an embodiment of the present invention；

Fig. 2 is rail line schematic diagram provided in an embodiment of the present invention；

Fig. 3 is the schematic diagram of rail line transferring one provided in an embodiment of the present invention；

Fig. 4 is the schematic diagram of rail line transferring two provided in an embodiment of the present invention；

Fig. 5 is the schematic diagram of rail line transferring three provided in an embodiment of the present invention；

Fig. 6 selects Consideration schematic diagram for rail line transferring ratio provided in an embodiment of the present invention；

Fig. 7 is the fuzzy relative similarity schematic diagram of operation convenience provided in an embodiment of the present invention；

Fig. 8 is the fuzzy relative similarity schematic diagram of operation flexibility provided in an embodiment of the present invention；

Fig. 9 is the fuzzy relative similarity schematic diagram of operation adaptability provided in an embodiment of the present invention；

Figure 10 is the fuzzy relative similarity schematic diagram of construction scale provided in an embodiment of the present invention；

Figure 11 is the fuzzy relative similarity schematic diagram of transfer convenience provided in an embodiment of the present invention；

Figure 12 is the fuzzy relative similarity schematic diagram of each circuit transferring provided in an embodiment of the present invention；

Figure 13 is rail line transferring provided in an embodiment of the present invention than screening device structural representation.

Specific embodiment

Below in conjunction with the accompanying drawing in the embodiment of the present invention, the technical scheme in the embodiment of the present invention is carried out clear, complete Site preparation is described, it is clear that described embodiment is only a part of embodiment of the invention, rather than whole embodiments.It is based on Embodiment in the present invention, it is every other that those of ordinary skill in the art are obtained under the premise of creative work is not made Embodiment, belongs to the scope of protection of the invention.

As shown in figure 1, rail line transferring methods of comparison and selection provided in an embodiment of the present invention, including：

Step S101, determination treat that the rail line of selection is plugged into scheme analysis；

Step S102, determine every Consideration of rail line transferring, and determine each policymaker to items The original decision information of index；

Step S103, the ideal solution and each scheme determined according to the original decision information and weight in limited scheme With the distance of ideal solution, required scheme is determined according to the distance, original decision information and weight use two patterns Paste number is represented.

The rail line transferring methods of comparison and selection, by determining that the every of rail line transferring considers Factor, and determine original decision information of each policymaker to indices, in determining limited scheme according to original decision information Ideal solution, according to each scheme and the distance of ideal solution, determines required scheme, wherein, original decision information and weight are equal Represented using two type fuzzy numbers, with it, having considered every Consideration of rail line transferring, led to Cross two type fuzzy numbers and improve accuracy than selecting result, realize carries out rail line with reference to track traffic actual conditions Transferring is than choosing.

Circuit according to the objective selection of track traffic design experiences plug into need Consideration can quantification, reflect exactly each The real-time status of item Consideration, every Consideration weight and value can be objectively expressed not with interval two types fuzzy number Certainty, carries out, than choosing, improve the objectivity and accuracy than selecting by the method to rail line transferring.

Specifically, general rail line transferring is than selecting the factor that need to be considered：Rail line transferring Evaluation object than selecting is circuit transferring, suitable from operation convenience, operation flexibility, operation respectively according to evaluation object From the aspect of Ying Xing, construction scale and transfer convenience etc..What the value of every Consideration should be designed by policymaker's combined circuit Real data data and the experience of oneself comprehensively show that computing formula is as follows：

Wherein, i represents policymaker's number.

Interval two type fuzzy numbers have the following two kinds to define：

Define 1. 1 interval type-2 fuzzy sets being defined on domain XIt is represented by：

Wherein, x is primary variables, J_x∈ [0,1] is the membership function of primary variables x, and μ is secondary variable, andIt is the secondary membership function of primary variables x.

Define 2. 1 interval type-2 fuzzy sets being defined on domain XIt is represented by：

Wherein, x is primary variables, J_x∈ [0,1] is the membership function of primary variables x, and μ is secondary variable, andIt is the secondary membership function of primary variables x.

The collection that all elements in type-2 fuzzy sets are subordinate to angle value composition with its all master is collectively referred to as probabilistic track (Footprint of Uncertainty, FOU) is defined as follows.

Wherein, FOU is a region, by upper limit member function (Upper membership function, UMF) With lower limit member function (Lower membership function, LMF)Zone line composition, and UMF and LMF are equal It is a type fuzzy set.

Interval type-2 fuzzy sets are the special cases of type-2 fuzzy sets, and relative to a type fuzzy set, it can preferably describe not true Qualitative, and compared with general type-2 fuzzy sets, its secondary membership value is all 1, it is to avoid the selection of secondary membership function, collection is total Greatly simplify, so interval type-2 fuzzy sets are normally used for solving uncertain information decision problem.

The every factor weight and value that circuit transferring need to consider than choosing in the embodiment of the present invention use interval two pattern Paste number, a scope is set to by the weight and value of every factor.

TOPSIS methods (Technique for Order Preference by Similarity to an Ideal Solution, according to the method that limited evaluation object is ranked up with the degree of closeness of idealization target) it is that one kind approaches reason Think the sort method of solution, its basic ideas is：Initial decision matrix first according to standardization finds out the correct principle in limited scheme Think solution and minus ideal result, then calculate each evaluation object and positive ideal solution and the distance of minus ideal result, it is each than choosing so as to obtain Scheme and the relative proximity of optimal case, are finally ranked up, and in this, as the foundation of scheme superior and inferior evaluating.

It is assumed that the decision scheme collection of Fuzzy Multiple Attribute Decision Making problem isProperty set is C={ c₁, c₂,...,c_m}.For option A_j(j=1,2 ..., m), according to attribute c_iEstimated, obtained A_j(j=1,2 ..., m) on c_i(i=1,2 ..., property value n) is Triangular Fuzzy NumberSo as to constitute fuzzy decision matrix

W=[ω₁,ω₂,...,ω_n]^T

Wherein, W is the weight vectors of attribute, and meets ω_i>=0 He

If Triangular Fuzzy NumberNow by TOPSIS method solution procedures enumerate as Under：

(1) decision matrix is standardizedIts computing formula is：

Wherein：

Formula (5) is suitable for income type variable；Formula (6) is applied to cost type variable.

(2) determination of positive ideal solution and minus ideal result：

Fuzzy decision matrixPositive ideal solution and minus ideal result may be defined as

(3) cut set α is set, its corresponding decision matrix is calculated

(4) according to Nonlinear programming Model, the fuzzy relative phase of corresponding all scheme analysis under Truncated set level α is calculated Like degree.

Alternative A_iWith positive ideal solution A^*Relative similarity may be defined as

Because RC_iIt is an interval value, its upper and lower bound tries to achieve method difference corresponding segments plan model

Wherein,WithIt is respectively evaluation of estimate x_ijAnd weights omega_jIn cut set Set during for alpha levels.

(5) the average blur relative similarities under all cut set α are solved, the de-fuzzy method of the average blur set is such as Shown in formula.

(6) according to the result of calculation of formula, all alternatives are ranked up,It is worth bigger, alternative A_jMore lean on Nearly ideal scheme, effect is better.

It can be seen that, to improve the accuracy than selecting result, in step S103, determine have according to original decision information and weight Ideal solution and each scheme and the distance of ideal solution in limit scheme, required scheme is determined according to distance, is specifically included：

According to each policymaker to the original decision information and weight of indices, determine that items are examined for each scheme The average two types fuzzy number of synthesis of worry factor, the average two types fuzzy number of synthesis according to every Consideration, it is determined that standardization Initial decision matrix；

Initial decision matrix according to standardization determine ideal solution and each scheme in limited scheme and ideal solution away from From the scheme according to needed for distance is determined.

Wherein, the initial decision matrix according to standardization determines the ideal solution and each scheme and ideal solution in limited scheme Distance, required scheme is determined according to distance, specifically include：

Initial decision matrix according to standardization determines the ideal solution in limited scheme；

For each scheme, it is determined that under multiple Truncated set levels corresponding all schemes fuzzy relative similarity, go forward side by side Row de-fuzzy, obtains de-fuzzy value；

For each scheme, according to de-fuzzy value, the distance of the program and ideal solution is determined；

According to the attribute of ideal solution, it is determined that closest with positive ideal solution or with minus ideal result be apart from farthest scheme Required scheme.

Specifically, being determined for each scheme to the original decision information and weight of indices according to each policymaker Go out the average two types fuzzy number of synthesis of every Consideration, the average two types fuzzy number of synthesis according to every Consideration, it is determined that The initial decision matrix of standardization, specifically includes：

According to each policymaker to the original decision information of indices, the decision scheme of Fuzzy Multiple Attribute Decision Making problem is determined Collect and beProperty set is C={ c₁,c₂,...,c_m}；

For option A_j(j=1,2 ..., m), according to attribute c_iEstimated, obtained A_j(j=1,2 ..., m) on c_i (i=1,2 ..., property value n) is Triangular Fuzzy NumberConstitute fuzzy decision matrix

W=[ω₁,ω₂,...,ω_n]^T

Wherein, W is the weight vectors of attribute, and meets ω_i>=0 He

If Triangular Fuzzy NumberAnd specified decision matrixIt is right In income type variable,For cost type variable, Wherein,

Specifically, for each scheme, it is determined that under multiple Truncated set levels corresponding all schemes it is fuzzy relatively similar Degree, and de-fuzzy is carried out, de-fuzzy value is obtained, specifically include：

The multiple cut set value α of setting, and determine under each cut set value α, alternative A_iWith ideal solution A^*Relative similarity Higher limit and lower limit：

Wherein,WithIt is respectively x_ijAnd ω_jCollection in cut set value α Close；

Determine that de-fuzzy value is：

Below by a specific embodiment to rail line transferring provided in an embodiment of the present invention than selecting Method is illustrated：

By taking No. 3 lines of Hefei City's urban track traffic as an example, 3A lines and No. 3 Xian Fangxing main roads station transfer, No. 3 lines with The former construction plan scheme that 3A lines are plugged into is as follows.

No. 3 line Emerald Lake parking lots of planning are arranged on Fang Xing main roads southern side, and are connect with No. 3 line main tracks at Fang Xing main roads station Rail, 3A lines carry out factory's un-wheeling repair using No. 3 Xian Modian rolling stock sections.In the second wheel construction plan, after Fang Xing main roads station employs station Turn back line is connected with the section line that comes in and goes out, and No. 3 line distant view years extend to the scheme of Feixi and 3A lines insertion operation, as shown in Figure 2.

The program exist problem be：

3A lines at a specified future date can only be with No. 3 line insertion operations, and flexibility, adaptability are poor.According to line network planning, distant view year 3A lines Commuter rush hour section be 1.69 ten thousand person-times/hour, less than No. 3 amounts of person-time/hour of line peak section 3.21 ten thousand, by the volume of the flow of passengers 3A lines are only needed to open 4 marshalings for level, and 3A lines need to be used and No. 3 line identical vehicles and row if runing in insertion Car is organized into groups, and being thus likely to result in cannot match in intown some the section capacities in peak period Hefei with passenger flow, it is difficult to meet Operation demand, and capacity can be caused excessive in the range of Feixi, serious problem is wasted, to operation, taeniae telarum is certain not Just, the risk of operation is increased；

No. 3 big cross-channels of line are turned back and are only capable of being turned back using the field wire that come in and gone out behind station, and flexibility is not good enough.

For the not good enough problem of former construction plan Fang Xing main roads station distribution design flexibility, the station distribution pattern is carried out Three ratio choosings of scheme.

(1) prioritization scheme one

In view of 3A lines as distant view circuit, certain possibility is respectively provided with using with No. 3 line insertion operations and segmentation operation Property, the transfer of passenger flow for convenience, it is proposed that the distribution design of interchange on the same platform, as shown in Figure 3.

This programme, Fang Xing main roads station station is provided with double crossover after setting out in advance to make arrangements, the field wire that comes in and goes out is drawn from main track outside, is reserved Extend the condition with 3A lines insertion operation.3A lines at a specified future date and No. 3 line segmentation operations, No. 3 alignment cars utilize Fang Xing main roads Zi Yun roads The double crossover in direction is turned back operation before being stood, and 3A alignments car is turned back before carrying out 3A lines station using the double crossover in Feixi direction Operation, can meet the turning-back capacity demand of respective circuit.Two lines carry out out admission operation using Emerald Lake parking lot discrepancy line.Should Scheme can solve insertion operation tissue difficulty, and capacity and passenger flow are difficult to the problem for matching；Two lines realize interchange on the same platform, facilitate two Passenger flow between line is exchanged；No. 3 lines of 3A lines at a specified future date also possess engineering specifications according to insertion operation.

Scheme advantage：

Distant view year can organization scheme segmentation operation, also organize insertion operation, flexibility is strong；

Segmentation operation is capable of achieving the interchange on the same platform of line-to-line, and transfer more facilitates.

Scheme shortcoming：

Initial stage station scale is larger；

Long term, then going out admission operation can the certain influence of match line operation generation according to insertion Management plan.

(2) prioritization scheme two

Such as determine No. 3 line distant views year and 3A line insertion operations, the wiring scheme to former construction plan carries out following optimization tune It is whole, as shown in Figure 4.

Increase list branch-cut bridge before station, realize function of turning back before Fang Xing main roads station station；

For 3A lines increase a discrepancy line to Emerald Lake parking lot.

Scheme advantage：

Increase single branch-cut bridge before the station at Fang Xing main roads station, realize before Fang Xing main roads station station with station after the dual work(of turning back turned back Can, operation organizational flexibility is more preferable；

For 3A lines have reserved the condition for accessing Emerald Lake parking lot, the flexibility of operation is enhanced.

Scheme shortcoming：

Distant view year can only organize insertion operation, it is impossible to realize segmentation operation, dumb；

Station scale is larger.

(3) prioritization scheme three

Such as determine 3A lines at a specified future date and No. 3 line segmentation operations, the wiring scheme to former construction plan is optimized and revised as follows, As shown in Figure 5.

This programme 3A lines and No. 3 Xian Fangxing main roads station form passage transfer, and No. 3 Xian Fangxing main roads station model is implemented in the recent period Enclose, and the reserved transferring passage with 3A lines, distant view year, 3A line scopes were built again.Set behind No. 3 Xian Fangxing main roads station station double crossover, Turn back line, the field wire that comes in and goes out is connected with turn back line, and single branch-cut bridge is set before standing.3A Xian Fangxing main roads set double crossover behind the station of station, are set before standing Come in and go out field wire.3A lines and No. 3 interconnections of line are located at Emerald Lake parking lot.

Scheme advantage：

Increase single branch-cut bridge before the station at Fang Xing main roads station, realize before Fang Xing main roads station station with station after the dual work(of turning back turned back Can, increased operation organizational flexibility；

The resource 3A lines in Emerald Lake parking lot can be shared, and be conducive to the intensive utilization of resource；

Two lines can realize time phasing, not interfere with each other.

Scheme shortcoming：

Distant view year, two lines can only tissue segmentation operation, dumb, bad adaptability；

Transfer need to be changed to and slightly show inconvenience by passage between two lines；

After distant view year 3A lines build up, Fang Xing main roads station overall size is larger.

By to three analyses of prioritization scheme, from operation convenience, operation flexibility, operation adaptability, construction scale Prioritization scheme is carried out than choosing with the aspect such as transfer convenience, it is more as shown in Figure 6 than selecting structure chart.

Circuit is plugged into the real data number that the value of prioritization scheme Consideration more every than choosing is designed by policymaker's combined circuit Comprehensively drawn according to the experience with oneself, three bit decisions persons are to operation convenience, operation flexibility, operation adaptability, construction scale Judged that table 2 gives policymaker the original decision information to indices, and can with five desired values such as transfer convenience Calculate the average two types fuzzy number of synthesis of each index.

The rail line of table 2 plug into prioritization scheme indices interval two pattern paste evaluation information

Run the fuzzy relatively similar of convenience, operation flexibility, operation adaptability, construction scale and transfer convenience Degree, as shown in Fig. 7-Figure 11, Fig. 7-Figure 11 chain lines are that prioritization scheme one, dotted line is that prioritization scheme two, solid line is optimization side Case three.

Interval type-2 fuzzy sets according to propositions such as Mendel are closed, and the weight of every Consideration will be using interval two pattern Paste language weight set, as shown in table 3.

The interval two types fuzzy language weight set of table 3

Table 4 gives policymaker the original decision information to every Consideration weight, and can calculate the flat of each index Interval two types fuzzy number.

The rail line of table 4 is plugged into the interval two types fuzzy number of prioritization scheme indices weight

Because desired value is closer to positive ideal solution, it is meant that scheme is better, so positive ideal solution is A⁺=1,1,1,0, 1 }, minus ideal result is A^-={ 0,0,0,1,0 }.

In order to be precisely calculated fuzzy relative similarity, 11 different Truncated set levels are set, α=0,0.1,0.2, 0.3,0.4,0.5,0.6,0.7,0.8,0.9,1.0.Each circuit plug into prioritization scheme fuzzy relative similarity result of calculation such as Shown in table 5 and Figure 12, Figure 12 chain lines are that prioritization scheme one, dotted line is that prioritization scheme two, solid line is prioritization scheme three.As a result Show, the de-fuzzy value highest of prioritization scheme one, RC^*=0.6967, RC^*Value represents the program closer to ideal side closer to 1 Case, also superior to other two schemes, than selecting result more to meet engineering practice.

Each circuit is plugged into the fuzzy relative similarity of prioritization scheme under the different Truncated set level α of table 5

The embodiment of the present invention correspondingly provides a kind of rail line transferring than screening device, as shown in figure 13, bag Include：

Scheme determination unit 1301, the rail line for determining to treat selection is plugged into scheme analysis；

Decision information determining unit 1302, the every Consideration for determining rail line transferring, and really Original decision information and weight of the fixed each policymaker to indices；

Than menu unit 1303, for determining the ideal solution in limited scheme and each according to original decision information and weight Scheme and the distance of ideal solution, required scheme is determined according to distance, and original decision information and weight use two patterns Paste number is represented.

Wherein, than menu unit 1303 specifically for：

According to each policymaker to the original decision information and weight of indices, determine that items are examined for each scheme The average two types fuzzy number of synthesis of worry factor, the average two types fuzzy number of synthesis according to every Consideration, it is determined that standardization Initial decision matrix；

Initial decision matrix according to standardization determine ideal solution and each scheme in limited scheme and ideal solution away from From the scheme according to needed for distance is determined.

Further, the ideal solution in limited scheme, root are determined according to the initial decision matrix of standardization than menu unit 1303 According to each scheme and the distance of ideal solution, required scheme is determined, specifically included：

Initial decision matrix according to standardization determines the ideal solution in limited scheme；

For each scheme, it is determined that under multiple Truncated set levels corresponding all schemes fuzzy relative similarity, go forward side by side Row de-fuzzy, obtains de-fuzzy value；

For each scheme, according to de-fuzzy value, the distance of the program and ideal solution is determined；

According to the attribute of ideal solution, it is determined that closest with positive ideal solution or with minus ideal result be apart from farthest scheme Required scheme.

Further, than menu unit 1303 according to each policymaker to the original decision information and weight of indices, pin The average two types fuzzy number of the synthesis of every Consideration is determined to each scheme, the synthesis average two according to every Consideration Type fuzzy number, it is determined that the initial decision matrix of standardization, specifically includes：

According to each policymaker to the original decision information of indices, the decision scheme of Fuzzy Multiple Attribute Decision Making problem is determined Collect and beProperty set is C={ c₁,c₂,...,c_m}；

For option A_j(j=1,2 ..., m), according to attribute c_iEstimated, obtained A_j(j=1,2 ..., m) on c_i (i=1,2 ..., property value n) is Triangular Fuzzy NumberConstitute fuzzy decision matrix

W=[ω₁,ω₂,...,ω_n]^T

Wherein, W is the weight vectors of attribute, and meets ω_i>=0 He

If Triangular Fuzzy NumberAnd specified decision matrix For income type variable,For cost type variable, Wherein,

Further, than menu unit 1303 for each scheme, it is determined that corresponding all schemes under multiple Truncated set levels Fuzzy relative similarity, and carry out de-fuzzy, obtain de-fuzzy value, specifically include：

The multiple cut set value α of setting, and determine under each cut set value α, alternative A_iWith ideal solution A^*Relative similarity Higher limit and lower limit：

Wherein,WithIt is respectively x_ijAnd ω_jCollection in cut set value α Close；

Determine that de-fuzzy value is：

The rail line transferring methods of comparison and selection and device, by determining each of rail line transferring Item Consideration, and determine original decision information of each policymaker to indices, limited side is determined according to original decision information Ideal solution in case, according to the distance of each scheme and ideal solution, determines required scheme, wherein, original decision information and Weight is represented using two type fuzzy numbers, with it, having considered every consideration of rail line transferring Factor, the accuracy than selecting result is improve by two type fuzzy numbers, and realize carries out track with reference to track traffic actual conditions Traffic route transferring is than choosing.

Circuit according to the objective selection of track traffic design experiences plug into need Consideration can quantification, reflect exactly each The real-time status of item Consideration, every Consideration weight and value can be objectively expressed not with interval two types fuzzy number Certainty, carries out, than choosing, improve the objectivity and accuracy than selecting by the method to rail line transferring.

Each embodiment in this specification is described by the way of progressive, identical similar portion between each embodiment Divide mutually referring to what each embodiment was stressed is its difference with other embodiment.Particularly with device For embodiment, due to its substantially similar and embodiment of the method, so, description it is fairly simple, related part is referring to method reality Apply the part explanation of example.

Although describing the application by embodiment, it will be apparent to one skilled in the art that the application has many deformations and change Change without departing from the spirit and scope of the present invention.So, if these modifications of the invention and modification belong to right of the present invention and want Ask and its equivalent technologies within the scope of, then the present invention be also intended to comprising these change and modification.

Claims (10)

1. a kind of rail line transferring methods of comparison and selection, it is characterised in that including：

It is determined that treating that the rail line of selection is plugged into scheme analysis；

Determine every Consideration of rail line transferring, and determine original decision-making of each policymaker to indices Information and weight；

According to the original decision information and weight determine ideal solution and each scheme in limited scheme and ideal solution away from From, required scheme is determined according to the distance, the original decision information and weight are represented using two type fuzzy numbers.

2. the method for claim 1, it is characterised in that described to determine have according to the original decision information and weight Ideal solution and each scheme and the distance of ideal solution in limit scheme, required scheme, specific bag are determined according to the distance Include：

According to each policymaker to the original decision information and weight of indices, determine that items are examined for each scheme The average two types fuzzy number of synthesis of worry factor, the average two types fuzzy number of synthesis according to every Consideration, determines specification The initial decision matrix of change；

Initial decision matrix according to the standardization determine ideal solution and each scheme in limited scheme and ideal solution away from From the scheme according to needed for the distance is determined.

3. method as claimed in claim 2, it is characterised in that described to determine have according to the initial decision matrix of the standardization Ideal solution and each scheme and the distance of ideal solution in limit scheme, required scheme, specific bag are determined according to the distance Include：

Initial decision matrix according to standardization determines the ideal solution in limited scheme；

For each scheme, it is determined that under multiple Truncated set levels corresponding all schemes fuzzy relative similarity, and gone Obfuscation, obtains de-fuzzy value；

For each scheme, according to the de-fuzzy value, the distance of the program and ideal solution is determined；

According to the attribute of ideal solution, it is determined that it is closest with positive ideal solution or with minus ideal result apart from farthest scheme for needed for Scheme.

4. method as claimed in claim 3, it is characterised in that it is described according to each policymaker to indices it is original certainly Plan information and weight, the average two types fuzzy number of the synthesis of every Consideration is determined for each scheme, according to described each The average two types fuzzy number of synthesis of item Consideration, it is determined that the initial decision matrix of standardization, specifically includes：

According to each policymaker to the original decision information of indices, the decision scheme of Fuzzy Multiple Attribute Decision Making problem is determined Collect and beProperty set is C={ c₁,c₂,...,c_m}；

For option A_j(j=1,2 ..., m), according to attribute c_iEstimated, obtained A_j(j=1,2 ..., m) on c_i(i= 1,2 ..., property value n) is Triangular Fuzzy NumberConstitute fuzzy decision matrix

$\tilde{X}=\left[\begin{array}{cccc}{\tilde{x}}_{11}& {\tilde{x}}_{12}& \mathrm{...}& {\tilde{x}}_{1m}\\ {\tilde{x}}_{21}& {\tilde{x}}_{22}& \mathrm{...}& {\tilde{x}}_{2m}\\ \mathrm{...}& \mathrm{...}& \mathrm{...}& \mathrm{...}\\ {\tilde{x}}_{n1}& {\tilde{x}}_{n2}& & {\tilde{x}}_{nm}\end{array}\right]$

W=[ω₁,ω₂,...,ω_n]^T

Wherein, W is the weight vectors of attribute, and meets ω_i>=0 He

If Triangular Fuzzy NumberAnd specified decision matrixFor receiving Beneficial type variable,For cost type variable, Wherein,

5. method as claimed in claim 4, it is characterised in that described for each scheme, it is determined that under multiple Truncated set levels The fuzzy relative similarity of corresponding all schemes, and de-fuzzy is carried out, de-fuzzy value is obtained, specifically include：

The multiple cut set value α of setting, and determine under each cut set value α, alternative A_iWith ideal solution A^*Relative similarity it is upper Limit value and lower limit：

${\left({\mathrm{RC}}_i^U\right)}_{\mathrm{\α}}=max\frac{\sqrt{\underset{j=1}{\overset{m}{\mathrm{\Σ}}}{\left({\mathrm{\ω}}_j{\left(x_{ij}^U\right)}_{\mathrm{\α}}\right)}^2}}{\sqrt{\underset{j=1}{\overset{m}{\mathrm{\Σ}}}{\left({\mathrm{\ω}}_j{\left(x_{ij}^U\right)}_{\mathrm{\α}}\right)}^2}+\sqrt{\underset{j=1}{\overset{m}{\mathrm{\Σ}}}{\left({\mathrm{\ω}}_j\right({\left(x_{ij}^U\right)}_{\mathrm{\α}}-1\left)\right)}^2}}$

$s.t.{\left({\mathrm{\ω}}_j^L\right)}_{\mathrm{\α}}\≤{\mathrm{\ω}}_j\≤{\left({\mathrm{\ω}}_j^U\right)}_{\mathrm{\α}},j=1,2,\mathrm{...},m$

${\left({\mathrm{RC}}_i^L\right)}_{\mathrm{\α}}=\min \frac{\sqrt{\underset{j=1}{\overset{m}{\mathrm{\Σ}}}{\left({\mathrm{\ω}}_j{\left(x_{ij}^L\right)}_{\mathrm{\α}}\right)}^2}}{\sqrt{\underset{j=1}{\overset{m}{\mathrm{\Σ}}}{\left({\mathrm{\ω}}_j{\left(x_{ij}^L\right)}_{\mathrm{\α}}\right)}^2}+\sqrt{\underset{j=1}{\overset{m}{\mathrm{\Σ}}}{\left({\mathrm{\ω}}_j\right({\left(x_{ij}^L\right)}_{\mathrm{\α}}-1\left)\right)}^2}}$

$s.t.{\left({\mathrm{\ω}}_j^L\right)}_{\mathrm{\α}}\≤{\mathrm{\ω}}_j\≤{\left({\mathrm{\ω}}_j^U\right)}_{\mathrm{\α}},j=1,2,\mathrm{...},m$

Wherein,WithIt is respectively x_ijAnd ω_jSet in cut set value α；

Determine that de-fuzzy value is：

${\mathrm{RC}}_i^{*}=\frac{1}{N}\underset{j=1}{\overset{n}{\mathrm{\Σ}}}\left(\frac{{\left({\mathrm{RC}}_i^L\right)}_{{\mathrm{\α}}_j}+{\left({\mathrm{RC}}_i^U\right)}_{{\mathrm{\α}}_j}}{2}\right),j=1,2,\mathrm{...},n.$

6. a kind of rail line transferring compares screening device, it is characterised in that including：

Scheme determination unit, the rail line for determining to treat selection is plugged into scheme analysis；

Decision information determining unit, for determining every Consideration of rail line transferring, and determines each decision-making Original decision information and weight of the person to indices；

Than menu unit, for determining ideal solution and each scheme in limited scheme according to the original decision information and weight With the distance of ideal solution, required scheme is determined according to the distance, the original decision information and weight use two Type fuzzy number is represented.

7. device as claimed in claim 6, it is characterised in that it is described than menu unit specifically for：

According to each policymaker to the original decision information and weight of indices, determine that items are examined for each scheme The average two types fuzzy number of synthesis of worry factor, the average two types fuzzy number of synthesis according to every Consideration, determines specification The initial decision matrix of change；

Initial decision matrix according to the standardization determine ideal solution and each scheme in limited scheme and ideal solution away from From the scheme according to needed for the distance is determined.

8. device as claimed in claim 7, it is characterised in that it is described than menu unit according to the initial decision square of the standardization Battle array determines the ideal solution in limited scheme, according to each scheme and the distance of ideal solution, determines required scheme, specifically includes：

Initial decision matrix according to standardization determines the ideal solution in limited scheme；

For each scheme, it is determined that under multiple Truncated set levels corresponding all schemes fuzzy relative similarity, and gone Obfuscation, obtains de-fuzzy value；

For each scheme, according to the de-fuzzy value, the distance of the program and ideal solution is determined；

According to the attribute of ideal solution, it is determined that it is closest with positive ideal solution or with minus ideal result apart from farthest scheme for needed for Scheme.

9. device as claimed in claim 8, it is characterised in that it is described than menu unit according to each policymaker to indices Original decision information and weight, determine the average two types fuzzy number of the synthesis of every Consideration, root for each scheme According to the average two types fuzzy number of the synthesis of every Consideration, it is determined that the initial decision matrix of standardization, specifically includes：

According to each policymaker to the original decision information of indices, the decision scheme of Fuzzy Multiple Attribute Decision Making problem is determined Collect and beProperty set is C={ c₁,c₂,...,c_m}；

For option A_j(j=1,2 ..., m), according to attribute c_iEstimated, obtained A_j(j=1,2 ..., m) on c_i(i= 1,2 ..., property value n) is Triangular Fuzzy NumberConstitute fuzzy decision matrix

$\tilde{X}=\left[\begin{array}{cccc}{\tilde{x}}_{11}& {\tilde{x}}_{12}& \mathrm{...}& {\tilde{x}}_{1m}\\ {\tilde{x}}_{21}& {\tilde{x}}_{22}& \mathrm{...}& {\tilde{x}}_{2m}\\ \mathrm{...}& \mathrm{...}& \mathrm{...}& \mathrm{...}\\ {\tilde{x}}_{n1}& {\tilde{x}}_{n2}& & {\tilde{x}}_{nm}\end{array}\right]$

W=[ω₁,ω₂,...,ω_n]^T

Wherein, W is the weight vectors of attribute, and meets ω_i>=0 He

If Triangular Fuzzy NumberAnd specified decision matrixFor income Type variable,For cost type variable, Wherein,

10. device as claimed in claim 9, it is characterised in that it is described than menu unit for each scheme, it is determined that being cut in multiple The fuzzy relative similarity of corresponding all schemes under collection level, and de-fuzzy is carried out, de-fuzzy value is obtained, specific bag Include：

The multiple cut set value α of setting, and determine under each cut set value α, alternative A_iWith ideal solution A^*Relative similarity it is upper Limit value and lower limit：

${\left({\mathrm{RC}}_i^U\right)}_{\mathrm{\α}}=max\frac{\sqrt{\underset{j=1}{\overset{m}{\mathrm{\Σ}}}{\left({\mathrm{\ω}}_j{\left(x_{ij}^U\right)}_{\mathrm{\α}}\right)}^2}}{\sqrt{\underset{j=1}{\overset{m}{\mathrm{\Σ}}}{\left({\mathrm{\ω}}_j{\left(x_{ij}^U\right)}_{\mathrm{\α}}\right)}^2}+\sqrt{\underset{j=1}{\overset{m}{\mathrm{\Σ}}}{\left({\mathrm{\ω}}_j\right({\left(x_{ij}^U\right)}_{\mathrm{\α}}-1\left)\right)}^2}}$

$s.t.{\left({\mathrm{\ω}}_j^L\right)}_{\mathrm{\α}}\≤{\mathrm{\ω}}_j\≤{\left({\mathrm{\ω}}_j^U\right)}_{\mathrm{\α}},j=1,2,\mathrm{...},m$

${\left({\mathrm{RC}}_i^L\right)}_{\mathrm{\α}}=\min \frac{\sqrt{\underset{j=1}{\overset{m}{\mathrm{\Σ}}}{\left({\mathrm{\ω}}_j{\left(x_{ij}^L\right)}_{\mathrm{\α}}\right)}^2}}{\sqrt{\underset{j=1}{\overset{m}{\mathrm{\Σ}}}{\left({\mathrm{\ω}}_j{\left(x_{ij}^L\right)}_{\mathrm{\α}}\right)}^2}+\sqrt{\underset{j=1}{\overset{m}{\mathrm{\Σ}}}{\left({\mathrm{\ω}}_j\right({\left(x_{ij}^L\right)}_{\mathrm{\α}}-1\left)\right)}^2}}$

$s.t.{\left({\mathrm{\ω}}_j^L\right)}_{\mathrm{\α}}\≤{\mathrm{\ω}}_j\≤{\left({\mathrm{\ω}}_j^U\right)}_{\mathrm{\α}},j=1,2,\mathrm{...},m$

Wherein,WithIt is respectively x_ijAnd ω_jSet in cut set value α；

Determine that de-fuzzy value is：

${\mathrm{RC}}_i^{*}=\frac{1}{N}\underset{j=1}{\overset{n}{\mathrm{\Σ}}}\left(\frac{{\left({\mathrm{RC}}_i^L\right)}_{{\mathrm{\α}}_j}+{\left({\mathrm{RC}}_i^U\right)}_{{\mathrm{\α}}_j}}{2}\right),j=1,2,\mathrm{...},n.$