CN104820915A - Personalized customization WeChat intelligent distribution management system - Google Patents

Abstract

The invention relates to a personalized customization WeChat intelligent distribution management system. The system comprises a plurality of user mobile phones installed with WeChat software, a WeChat public platform server, a merchant server, and a plurality of distribution company servers. The user mobile phones are connected with a WeChat public platform through a network. The WeChat public platform is connected with the merchant server through the internet. The merchant server is connected with the distribution company servers through the internet. The system is based on a target network node quick position method of an AHP algorithm, considers comprehensive characteristics of different distribution companies and distribution routes in an overall manner, selects the optimal distribution route, and generates optimal distribution scheme.

Description

A kind of micro-letter wisdom delivery management system of personalized customization

Technical field

The present invention relates to a kind of micro-letter wisdom delivery management system of personalized customization.

Background technology

At present; China's catering trade still generally adopts manual mode of operation in daily management of ordering dishes; overall scientific and technological content is low; along with the continuous expansion of catering trade high speed development and eating and drinking establishment's scale; many food and beverage enterprises adopt chain operation and grouping of the world economy operation; manual operations is the requirement being all difficult to adapt to enterprise development in work efficiency, human cost and decision information etc., constrains the large-scale development of whole catering trade and the lifting of integrity service level.

Along with the fast development of Internet of Things, the especially development of O2O business model, catering trade also progressively strides forward to electronization in operation control, by the internal affairs of computer information system management catering trade, optimizes distribution project, operation is simplified more, efficiently.Wisdom delivery management system provides to user that multiple food and drink is made a reservation, settlement function, and system also can customize food and drink, dispensing food and drink according to user preferences; Food and drink businessman can directly printing user make a reservation data, generate consumption statistic form; The automatic competition for orders of Delivery Co., Ltd, selects dispensing.This system is provided and delivered under really realizing personalized customization, online trading, line, reaches food and drink Intelligent Service.

Wisdom delivery management system is organically blended by micro-credit household, food and drink businessman, Delivery Co., Ltd, wisdom printer etc., thus realize user individual customization, line made a reservation, backstage order, complete place an order, a series of Intelligent control such as selection, deliver goods arrival of providing and delivering, reduce human cost to greatest extent, reduce and leak single rate, promote user-responsiveness and satisfaction.Intelligent distribution management system has larger market development space, according to investigations, adopt the food and beverage enterprise of wisdom delivery system can save manpower 32%, reduce consumption 19%, improve service rate 68%, all right enterprise image and prestige simultaneously, greatly strengthen capacity of competition and the management level of enterprise, comprehensive benefit clearly.

Summary of the invention

Solve the problems of the technologies described above, the invention provides a kind of micro-letter wisdom delivery management system of personalized customization, based on the target network node method for rapidly positioning of AHP algorithm, consider the Comprehensive Characteristics of different Delivery Co., Ltd and distribution route, select optimized distribution route, generate optimization distribution project.

In order to achieve the above object, the technical solution adopted in the present invention is, a kind of micro-letter wisdom delivery management system of personalized customization, comprise and multiple the user mobile phone of micro-letter software, micro-letter public platform server, business server and multiple Delivery Co., Ltd server are installed, user mobile phone connects micro-letter public platform by network, micro-letter public platform is connected with business server by internet, and business server is connected with Delivery Co., Ltd server by internet;

Described user mobile phone comprises following functions module:

Information management module: the subscriber information management provide system and Business Information manage

To make a reservation administration module: provide food and drink to select, and generate order according to the selection of user, will select order to be sent to business server, user can inquire and put order and History Order;

Settlement module: the payment platform link after user has made a reservation;

The micro-letter public platform of micro-letter, sends to business server by the meal list information received and user geographic position;

Described business server comprises following functions module:

Retail shop manages: manage the routine matter of businessman, the set meal that the businessman that upgrades in time provides, food product and pricing information;

Order management: the existing order of user and History Order are managed;

Settlement module: the consumption data calculating user according to order;

Delivery Co., Ltd's server comprises following functions module:

Information management module: for carrying out information management to Delivery Co., Ltd,

Delivery management module: calculate optimum Delivery Co., Ltd based on AHP algorithm;

Settlement module: the dispensing cost data calculating user according to dispensing order.

Further, also comprise wisdom printer, described wisdom printer is connected with business server and Delivery Co., Ltd's server respectively.

Further, calculate optimum Delivery Co., Ltd based on AHP algorithm to comprise the following steps:

(1) construct a stratified structural model of tool, these levels are generally divided into: 1) top only have element, namely a goal index; 2) middle layer: contain several levels composition involved by realize target; 3) bottom, also referred to as measure layer or solution layer, comprises various influence factor and the decision scheme of realize target,

(2) Judgement Matricies, has n factor X={x ₁..., x _nall there is impact to destination layer, with a _ijrepresent x _iwith x _jon the ratio affecting size of destination layer, then a _ji=1/a _ijrepresent x _jwith x _ion the ratio affecting size of destination layer, whole comparative result judgment matrix A=(a _ij) _{n × n}represent, give corresponding a by 1-9 scaling law _ijnumerical value, table 1 lists the scoring criteria of element in judgment matrix in 1--9 scaling law:

The scoring criteria of element in table 1 judgment matrix

Judging between two by making n (n-1)/2 time to element each in matrix, following matrix A can be derived, wherein a _ijwith a _jireciprocal each other, i.e. a _ij=1/a _ji,

$A=\left[\begin{array}{ccccc}1& a_{12}& \·& \·& a_{1n}\\ a_{21}& 1& \·& \·& a_{2n}\\ a_{31}& a_{32}& 1& \·& a_{3n}\\ \·& \·& \·& \·& \·\\ a_{n1}& a_{n2}& \·& \·& 1\end{array}\right]$

(3) Mode of Level Simple Sequence and consistency check, calculates characteristic root and the proper vector problem of judgment matrix, namely for judgment matrix A, asks for corresponding Maximum characteristic root λ _max:

Aw＝λ _maxw

W corresponds to λ _maxnormalization characteristic vector, then the component of w is exactly the weighted value of the single sequence of corresponding factor, calculates the coincident indicator of judgment matrix:

Order matrix B=(b _ij) _{n × n}, wherein $b_{\mathrm{ij}}=\frac{a_{\mathrm{ij}}}{\underset{i=1}{\overset{n}{\mathrm{\Σ}}}{a}_{\mathrm{ij}}},(i,j=\mathrm{1,2},...n)$

Make again $w_i=\frac{1}{n}\underset{j=1}{\overset{n}{\mathrm{\Σ}}}{b}_{\mathrm{ij}},(i=\mathrm{1,2},...n)$

Try to achieve judgment matrix ordering vector w thus _i=(w ₁, w ₂... w _n) ^tmethod be called " Sum-Product algorithm ",

Now the eigenvalue of maximum of judgment matrix A can be approximated to be

Calculate coincident indicator CI, search corresponding Aver-age Random Consistency Index RI, as shown in table 2:

$\mathrm{CI}=\frac{{\mathrm{\λ}}_{\max }-n}{n-1}$

Table 2 RI span

Finally by calculating consistency ration CR, whether the consistance of judgment matrix can accept, otherwise just should do suitably to revise to judgment matrix,

$\mathrm{CR}=\frac{\mathrm{CI}}{\mathrm{RI}}---\left(1\right)$

Think that as CR<0.1 total hierarchial sorting result has comparatively satisfied consistance and accepts this analysis result, just should adjust judgment matrix coefficient as CR>0.1, make the matrix after adjusting have satisfactory consistency.

Further, judgment matrix will meet ordinal consistency, i.e. judgment matrix interior element a _ij>1, a _jk>1 can derive a _ik>1, judgment matrix is then claimed to have ordinal consistency, otherwise claim judgment matrix not have ordinal consistency, the weights as Different factor occur: the situation of i>j>k>i, just there will be the situation of endless-chain.

Further, also comprise the weighted value that step (4) finally will calculate each variable: first calculate the every row element product of judgment matrix, be denoted as W _i; Calculate often row product W respectively _iask for n th Root, then they are normalized, calculate the weights W of each variable _i.

$W_i=W_i/\underset{i=1}{\overset{n}{\mathrm{\&Sigma;}}}{W}_i.$

The present invention is by adopting technique scheme, and compared with prior art, tool has the following advantages:

The present invention in practice, after Delivery Co., Ltd receives order, the automatic competition for orders of Delivery Co., Ltd, system can according to customization, automatic selection Delivery Co., Ltd, user considers each side condition of Delivery Co., Ltd, as Delivery Co., Ltd distance, credit worthiness, road conditions, cost etc.Now user is according to personal like, sorts to above-mentioned factor, the ordering factor that system can be selected according to user, according to AHP algorithms selection Delivery Co., Ltd.By this method, can calculate and then select the Delivery Co., Ltd that integrate score is higher, and successively the combination of different node be calculated, just can select optimum Delivery Co., Ltd and provide and deliver.

Accompanying drawing explanation

Fig. 1 is the system construction drawing of embodiments of the invention.

Fig. 2 is the system function module figure of embodiments of the invention.

Fig. 3 is dispensing preference pattern figure.

Embodiment

Now the present invention is further described with embodiment by reference to the accompanying drawings.

As a specific embodiment, as shown in Figure 1, a kind of micro-letter wisdom delivery management system of personalized customization, comprise and multiple the user mobile phone of micro-letter software, micro-letter public platform server, business server and multiple Delivery Co., Ltd server are installed, user mobile phone connects micro-letter public platform by network, micro-letter public platform is connected with business server by internet, and business server is connected with Delivery Co., Ltd server by internet;

Described user mobile phone comprises following functions module:

Information management module: the subscriber information management provide system and Business Information manage

To make a reservation administration module: provide food and drink to select, and generate order according to the selection of user, will select order to be sent to business server, user can inquire and put order and History Order;

Settlement module: the payment platform link after user has made a reservation;

The micro-letter public platform of micro-letter, sends to business server by the meal list information received and user geographic position;

Also comprise other modules, it comprises the large data such as popular comment (businessman's public praise), food and drink price comparison, distance analysis, Users'Data Analysis and calculates.

Described business server comprises following functions module:

Retail shop manages: manage the routine matter of businessman, the set meal that the businessman that upgrades in time provides, food product and pricing information;

Order management: the existing order of user and History Order are managed;

Settlement module: the consumption data calculating user according to order;

Also comprise other modules as: system configuration, user's comment, the data processing greatly such as colleague contrast, analysis of market conditions.

Delivery Co., Ltd's server comprises following functions module:

Information management module: for carrying out information management to Delivery Co., Ltd,

Delivery management module: calculate optimum Delivery Co., Ltd based on AHP algorithm; And show the order of competition for orders;

Settlement module: the dispensing cost data calculating user according to dispensing order.

Also comprise other modules: the large data analysis such as system configuration, order distribution information.

Also comprise wisdom printer, described wisdom printer is connected with business server and Delivery Co., Ltd's server respectively.

Native system has following role:

User role: use mobile phone terminal, browse catering information, check popular dining room, group purchase information etc., possess in addition and order, check History Order, the dining room liked to eating and drinking establishment's message or information feed back or scoring, collection, share the functions such as dining room information, personalized customization;

Trade company role: possess the interpolation of catering information, deletion, modify feature, order management, purchase by group or information issue, the statistical report form of Merchant sales can also be checked, the functions such as large data analysis simultaneously;

Dispensing role: Delivery Co., Ltd according to the information of making a reservation received, can select whether competition for orders is provided and delivered voluntarily;

System manager role: there is merchant information examination & verification, trade company's grading system management, Delivery Co., Ltd's signal auditing, Delivery Co., Ltd's grading system management, user management, log management, safety management and check the authority of all trade companies statistical report form, distribution information etc.

The present invention is with micro-letter for entrance, and user pays close attention to businessman by micro-letter public platform, under micro-letter public platform, according to user preferences customization food and drink, selects Delivery Co., Ltd; Food and drink businessman can automatic reception order, prints information of making a reservation, for user provides food and drink by wisdom printer; The automatic competition for orders of Delivery Co., Ltd, selects to provide dispensing according to user.This system passes through online trading, deliver goods under line, reach ordering services, user, businessman, Delivery Co., Ltd and internet are organically combined, achieve line reach the standard grade under the degree of depth merge and multi-party interactive, not only can improve user's meal of making a reservation to experience, simultaneously can also reduce human resources and operating cost.Specific embodiment of the invention process: wherein user need in micro-letter official website register account number, add food and drink businessman public number or subscription number, pay close attention to the micro-letter of businessman, corresponding businessman can be logged on, micro-letter is used to carry out personalized customization, select food and drink businessman, Delivery Co., Ltd, after confirming an order, pay corresponding dinner cost (or selecting to cash on delivery) by network payment platform; Business server receives user and makes a reservation after information, and wisdom printer can automatic printing user to be made a reservation information, informs that user completes make a reservation after businessman's order success by micro-letter, SMS; After Delivery Co., Ltd receives user's sequence information that businessman sends, automatic competition for orders dispensing, now according to the distribution information of customization, can select Delivery Co., Ltd automatically.

Therefore calculate optimum Delivery Co., Ltd based on AHP algorithm to comprise the following steps:

(1) first problem stratification, construct a stratified structural model, under this model, challenge is broken down into the element ingredient forming some levels by attribute and relation.The element of each level all plays the influence of different weight to last layer, these levels are generally divided into: 1) top only have element, namely a goal index, is the intended target of analyze and solve problem; 2) middle layer: also referred to as rule layer, this level contains the intermediate link involved by realize target, and it can be made up of several levels, comprises required criterion, the sub-criterion considered; 3) bottom, also referred to as measure layer or solution layer, this level comprises the various influence factors of realize target, decision scheme etc.,

(2) Judgement Matricies, the relation between hierarchical structure reflection factor, but in rule layer, each criterion proportion in target is weighed is different.Be provided with n factor X={x ₁..., x _nall there is impact to destination layer, in order to weighted shared by clear and definite Different factor, take factor between two to compare and set up pairwise comparison matrix, namely get two factor x at every turn _iand x _j, with a _ijrepresent x _iwith x _jon the ratio affecting size of destination layer, then a _ji=1/a _ijrepresent x _jwith x _ion the ratio affecting size of destination layer, whole comparative result matrix A=(a _ij) _{n × n}represent, claim A to be judgment matrix here, give corresponding a by 1-9 scaling law _ijnumerical value, table 1 lists the scoring criteria of element in judgment matrix in 1--9 scaling law

The scoring criteria of element in table 1 judgment matrix

Judging between two by making n (n-1)/2 time to element each in matrix, following matrix A can be derived, wherein a _ijwith a _jireciprocal each other, i.e. a _ij=1/a _ji,

$A=\left[\begin{array}{ccccc}1& a_{12}& \&CenterDot;& \&CenterDot;& a_{1n}\\ a_{21}& 1& \&CenterDot;& \&CenterDot;& a_{2n}\\ a_{31}& a_{32}& 1& \&CenterDot;& a_{3n}\\ \&CenterDot;& \&CenterDot;& \&CenterDot;& \&CenterDot;& \&CenterDot;\\ a_{n1}& a_{n2}& \&CenterDot;& \&CenterDot;& 1\end{array}\right]$

(3) Mode of Level Simple Sequence and consistency check, the object of Mode of Level Simple Sequence is for certain element in upper level, determines the associated element importance of this level, and the weighted value between their order.Different weighted value represents the importance of this level all elements to last layer time.The task of Mode of Level Simple Sequence can be summed up as the characteristic root and proper vector problem that calculate judgment matrix, namely for judgment matrix A, asks for corresponding Maximum characteristic root λ _max:

Aw＝λ _maxw

W corresponds to λ _maxnormalization characteristic vector, then the component of w is exactly the weighted value of the single sequence of corresponding factor.Generally, and in order to the consistance of test and judge matrix, the coincident indicator calculating it can not be needed:

Order matrix B=(b _ij) _{n × n}, wherein $b_{\mathrm{ij}}=\frac{a_{\mathrm{ij}}}{\underset{i=1}{\overset{n}{\mathrm{\&Sigma;}}}{a}_{\mathrm{ij}}},(i,j=\mathrm{1,2},...n)$

Make again $w_i=\frac{1}{n}\underset{j=1}{\overset{n}{\mathrm{\&Sigma;}}}{b}_{\mathrm{ij}},(i=\mathrm{1,2},...n)$

Try to achieve judgment matrix ordering vector w thus _i=(w ₁, w ₂... w _n) ^tmethod be called " Sum-Product algorithm "

Now the eigenvalue of maximum of judgment matrix A can be approximated to be

Calculate coincident indicator CI, search corresponding Aver-age Random Consistency Index RI, as shown in table 2:

$\mathrm{CI}=\frac{{\mathrm{\&lambda;}}_{\max }-n}{n-1}$

Table 2 RI span

Finally by calculating consistency ration CR, whether the consistance of judgment matrix can accept, otherwise just should do suitably to revise to judgment matrix.

$\mathrm{CR}=\frac{\mathrm{CI}}{\mathrm{RI}}---(5-11)$

Think that as CR<0.1 total hierarchial sorting result has comparatively satisfied consistance and accepts this analysis result, just should adjust judgment matrix coefficient as CR>0.1, make the matrix after adjusting have satisfactory consistency.

Judgment matrix will meet ordinal consistency, i.e. judgment matrix interior element a _ij>1, a _jk>1 can derive a _ik>1, judgment matrix is then claimed to have ordinal consistency, otherwise claim judgment matrix not have ordinal consistency, the weights as Different factor occur: the situation of i>j>k>i, just there will be the situation of endless-chain.Ordinal consistency and the satisfactory consistency of judgment matrix do not have positive connection ^[12], what have ordinal consistency not necessarily has satisfactory consistency, and the judgment matrix equally with satisfactory consistency also not necessarily has ordinal consistency.Therefore first decision maker should check whether to have ordinal consistency, and then checks whether to have satisfactory consistency, thus reaches crash consistency.

Also comprise the weighted value that step (4) finally will calculate each variable: first calculate the every row element product of judgment matrix, be denoted as W _i; Calculate often row product W respectively _iask for n th Root, then they are normalized, calculate the weights W of each variable _i.

$W_i=W_i/\underset{i=1}{\overset{n}{\mathrm{\&Sigma;}}}{W}_i.$

Concrete utilization example:

Along with the fast development of Internet of Things, the especially development of O2O business model, catering trade also progressively strides forward to electronization in operation control, and wisdom delivery management system also based on the principle of AHP, can carry out dispensing and select.As shown in Figure 2, it is with micro-letter for entrance, and client, by micro-letter public platform, completes Self-service meal-ordering at micro-letter public platform; Businessman can automatic reception order, prints by wisdom printer information of making a reservation, for the bridge contacted is built by micro-credit household and businessman, while can also automatically select Delivery Co., Ltd to carry out deliver goods.This system is by online trading, and deliver goods under line, reaches ordering services, businessman and internet are organically combined, the degree of depth achieving businessman and internet merges and multi-party interactive, not only can improve client's meal of making a reservation and experience, can also reduce human resources and the operating cost of businessman simultaneously.

As shown in Figure 2, system uses flow process to comprise to this system function module:

1. client need in micro-letter official website register account number, by adding public number, subscribing to number micro-letter of concern businessman, corresponding businessman can be logged on, use micro-letter to order, after confirming an order, pay corresponding dinner cost by Third-party payment platform (as Alipay);

2. after user places an order, businessman logs on merchant web site management shop by internet, user can be obtained to make a reservation the relevant information such as information, geographic position, determine whether order, inform that user completes by Email, SMS after order success to make a reservation, now wisdom printer prints and to make a reservation information, and business server sends to Delivery Co., Ltd user profile simultaneously, and according to the Delivery Co., Ltd of AHP algorithms selection competition for orders;

3. after Delivery Co., Ltd receives user's sequence information that businessman sends, automatic competition for orders dispensing.

This intelligent system enormously simplify the line production that client makes a reservation, list, Delivery Co., Ltd are received by businessman as can be seen from Figure 2.User only by micro-letter, conveniently need order; As long as trade company prints order by wisdom printer, and automatically selects Delivery Co., Ltd; The automatic competition for orders of Delivery Co., Ltd.Thus it is logical, convenient and swift to achieve catering trade thing connection thing.

As shown in Figure 3, after Delivery Co., Ltd receives order, printer automatic printing order, prints order display Delivery Co., Ltd and the merchant store spacing apart from, merchant store and user.Delivery Co., Ltd selects whether competition for orders voluntarily.Businessman, according to the information of competition for orders Delivery Co., Ltd, takes into full account each side condition (such as can consider Delivery Co., Ltd distance, credit worthiness, road conditions, cost, efficiency etc.) of dispensing Delivery Co., Ltd, according to AHP algorithms selection Delivery Co., Ltd.

Such as: delivery system considers credit worthiness, distance, cost, supposes to obtain following matrix A:

$A=\left[\begin{array}{ccc}1& 3& 1/2\\ 1/3& 1& 1/6\\ 2& 6& 1\end{array}\right]$

The priority of credit worthiness is 3 times of distance, is 1/2 times of cost; The priority of distance is 1/3 times of credit worthiness, is 1/6 times of cost; The priority of cost is 2 times of credit worthiness, is 6 times of distance.

According to AHP algorithm, calculate:

$w=\left[\begin{array}{c}3/10\\ 1/10\\ 6/10\end{array}\right]$

λ _max＝3

CI＝0

CR＝0＜0.1

Meet satisfactory consistency, because matrix A meets ordinal consistency, thus reach crash consistency, so matrix A is set up.

The weight then calculated is: (0.3,0.1,0.6)

Give a mark to the credit worthiness of each businessman, distance, cost by dispensing software again, obtain optimized dispensing hotel owner.

Such as 3 scores of dispensing hotel owner A are: 3,2,1, and integrate score is:

3*0.3+2*0.1+1*0.6＝1.7

3 scores of dispensing hotel owner B are: 4,3,2, and integrate score is:

4*0.3+3*0.1+2*0.6＝5.8

Then select the dispensing hotel owner that integrate score is lower, because the dispensing integrated cost of businessman can be saved like this, now select dispensing hotel owner A.

Although specifically show in conjunction with preferred embodiment and describe the present invention; but those skilled in the art should be understood that; not departing from the spirit and scope of the present invention that appended claims limits; can make a variety of changes the present invention in the form and details, be protection scope of the present invention.

Claims (5)

1. micro-letter wisdom delivery management system of a personalized customization, it is characterized in that: comprise and multiple the user mobile phone of micro-letter software, micro-letter public platform server, business server and multiple Delivery Co., Ltd server are installed, user mobile phone connects micro-letter public platform by network, micro-letter public platform is connected with business server by internet, and business server is connected with Delivery Co., Ltd server by internet;

Described user mobile phone comprises following functions module:

Information management module: the subscriber information management provide system and Business Information manage

Making a reservation administration module: provide food and drink to select, and generate order according to the selection of user, sending out selecting order

Deliver to business server, user can inquire and put order and History Order;

Settlement module: the payment platform link after user has made a reservation;

The micro-letter public platform of micro-letter, sends to business server by the meal list information received and user geographic position;

Described business server comprises following functions module:

Retail shop manages: manage the routine matter of businessman, the set meal that the businessman that upgrades in time provides, food product and pricing information;

Order management: the existing order of user and History Order are managed;

Settlement module: the consumption data calculating user according to order;

Delivery Co., Ltd's server comprises following functions module:

Information management module: for carrying out information management to Delivery Co., Ltd,

Delivery management module: calculate optimum Delivery Co., Ltd based on AHP algorithm;

Settlement module: the dispensing cost data calculating user according to dispensing order.

2. micro-letter wisdom delivery management system of a kind of personalized customization according to claim 1, it is characterized in that: also comprise wisdom printer, described wisdom printer is connected with business server and Delivery Co., Ltd's server respectively.

3. micro-letter wisdom delivery management system of a kind of personalized customization according to claim 1, is characterized in that: calculate optimum Delivery Co., Ltd based on AHP algorithm and comprise the following steps:

(1) construct a stratified structural model of tool, these levels are generally divided into: 1) top only have element, namely a goal index; 2) middle layer: contain several levels composition involved by realize target; 3) bottom, also referred to as measure layer or solution layer, comprises various influence factor and the decision scheme of realize target,

(2) Judgement Matricies, has n factor X={x ₁..., x _nall there is impact to destination layer, with a _ijrepresent x _iwith x _jon the ratio affecting size of destination layer, then a _ji=1/a _ijrepresent x _jwith x _ion the ratio affecting size of destination layer, whole comparative result judgment matrix A=(a _ij) _{n × n}represent, give corresponding a by 1-9 scaling law _ijnumerical value, table 1 lists the scoring criteria of element in judgment matrix in 1--9 scaling law:

The scoring criteria of element in table 1 judgment matrix

Judging between two by making n (n-1)/2 time to element each in matrix, following matrix A can be derived, wherein a _ijwith a _jireciprocal each other, i.e. a _ij=1/a _ji,

$A=\left[\begin{array}{ccccc}1& a_{12}& \&CenterDot;& \&CenterDot;& a_{1n}\\ a_{21}& 1& \&CenterDot;& \&CenterDot;& a_{2n}\\ a_{31}& a_{32}& 1& \&CenterDot;& a_{3n}\\ \&CenterDot;& \&CenterDot;& \&CenterDot;& \&CenterDot;& \&CenterDot;\\ a_{n1}& a_{n2}& \&CenterDot;& \&CenterDot;& 1\end{array}\right]$

(3) Mode of Level Simple Sequence and consistency check, calculates characteristic root and the proper vector problem of judgment matrix, namely for judgment matrix A, asks for corresponding Maximum characteristic root λ _max:

Aw＝λ _maxw

W corresponds to λ _maxnormalization characteristic vector, then the component of w is exactly the weighted value of the single sequence of corresponding factor, calculates the coincident indicator of judgment matrix:

Order matrix B=(b _ij) _{n × n}, wherein $b_{\mathrm{ij}}=\frac{a_{\mathrm{ij}}}{\underset{i=1}{\overset{n}{\mathrm{\&Sigma;}}}{a}_{\mathrm{ij}}},(i,j=\mathrm{1,2},...n)$

Make again $w_i=\frac{1}{n}\underset{j=1}{\overset{n}{\mathrm{\&Sigma;}}}{b}_{\mathrm{ij}},(i=\mathrm{1,2},...n)$

Try to achieve judgment matrix ordering vector w thus _i=(w ₁, w ₂... w _n) ^tmethod be called " Sum-Product algorithm ",

Now the eigenvalue of maximum of judgment matrix A can be approximated to be calculate coincident indicator CI, search corresponding Aver-age Random Consistency Index RI, as shown in table 2:

$\mathrm{CI}=\frac{{\mathrm{\&lambda;}}_{\max }-n}{n-1}$

Table 2 RI span

Finally by calculating consistency ration CR, whether the consistance of judgment matrix can accept, otherwise just should do suitably to revise to judgment matrix,

$\mathrm{CR}=\frac{\mathrm{CI}}{\mathrm{RI}}---\left(1\right)$

Think that as CR<0.1 total hierarchial sorting result has comparatively satisfied consistance and accepts this analysis result, just should adjust judgment matrix coefficient as CR>0.1, make the matrix after adjusting have satisfactory consistency.

4. micro-letter wisdom delivery management system of a kind of personalized customization according to claim 3, is characterized in that: judgment matrix will meet ordinal consistency, i.e. judgment matrix interior element a _ij>1, a _jk>1 can derive a _ik>1, judgment matrix is then claimed to have ordinal consistency, otherwise claim judgment matrix not have ordinal consistency, the weights as Different factor occur: the situation of i>j>k>i, just there will be the situation of endless-chain.

5. micro-letter wisdom delivery management system of a kind of personalized customization according to claim 3, is characterized in that: also comprise the weighted value that step (4) finally will calculate each variable: first calculate the every row element product of judgment matrix, be denoted as W _i; Calculate often row product W respectively _iask for n th Root, then they are normalized, calculate the weights W of each variable _i,

$W_i=W_i/\underset{i=1}{\overset{n}{\mathrm{\&Sigma;}}}{W}_i.$