CN108073692A - A kind of enterprise's ranking system and its implementation - Google Patents
A kind of enterprise's ranking system and its implementation Download PDFInfo
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- CN108073692A CN108073692A CN201711279356.3A CN201711279356A CN108073692A CN 108073692 A CN108073692 A CN 108073692A CN 201711279356 A CN201711279356 A CN 201711279356A CN 108073692 A CN108073692 A CN 108073692A
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/20—Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
- G06F16/24—Querying
- G06F16/248—Presentation of query results
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/20—Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
- G06F16/24—Querying
- G06F16/245—Query processing
- G06F16/2455—Query execution
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/20—Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
- G06F16/25—Integrating or interfacing systems involving database management systems
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Abstract
The present invention relates to a kind of enterprise's ranking system and its implementation.Present system is made of period assignment module and ranking module, external enterprise database.Period assignment module is responsible for configuring the corresponding ranking rule of business life cycle state, the input of enterprise's periodic state and ranking rule as ranking module.Ranking module includes rule parsing module and collection unit, and rule parsing module is responsible for that the ranking rule of different enterprise's periodic states is parsed and handled, and is applied to business data;Collection unit is responsible for that the business data of each periodic state is summarized and sorted, and generates final ranking result.The present invention carries out ranking rules customization by the life cycle of enterprise, can pointedly the enterprise for being in different life be divided and be parsed, can be applied in a variety of electronic government affairs systems.
Description
Technical field
The present invention relates to Computer Applied Technology field, more particularly to a kind of enterprise's ranking system and its implementation.
Background technology
It builds with national information and constantly promotes, multiple area Develop Data resource-sharings and the work integrated.With
Exemplified by the system that bureau of commerce uses, company information is the core content of multiple systems.The function of many systems and its value direction
It is required for based on the data of enterprise, makes similar supervision around enterprise, investigates or the actions or macroscopically such as put on record
The integral layout of higher level time.For various business data, information classification and enterprise attributes, this analysis is often base
In the accumulation of business experience.When the data volume being related to is excessive, data dimension is complicated, this analysis mode can not be effectively and comprehensive
Ground draws analysis result;And there is deviation in the traffic direction and conclusion that can cause interconnected system.It can not be in the scope of business
Enterprises service is in place, it is impossible to provide rational opinions and suggestions for enterprise.At this time just need a kind of flexibility ratio high and applicable
The wide method of scope can carry out regulation configuration to the enterprise for being in different life and different enterprise's dimensional informations and generate
The ranking inventory of various dimensions more effectively analyze and regulate and control.
The content of the invention
Present invention solves the technical problem that one of be for business enterprise data it is excessive there are data volume, data dimension is multiple
It is miscellaneous, it manually can not fully and effectively carry out analysis and the problem of ranking, provide a kind of based on the enterprise's ranking system that can match somebody with somebody the cycle.
Present invention solves the technical problem that two be to provide a kind of realization based on the enterprise's ranking system that can match somebody with somebody the cycle
Method;By the way that business data is carried out cutting configuration by life cycle, by attribute integrality and attribute weight, expand business data
Operable scope, increase the accuracy of enterprise ranking.For different business systems it is also an option that suitable weighting scheme and
Weight proportion ensures the diversity of enterprise's ranking scene.
The technical solution that the present invention solves one of above-mentioned technical problem is:
The system is made of period assignment module and ranking module, and provides corresponding exploitation and integrated interface;
The period assignment module is responsible for the corresponding ranking rule of configuration business life cycle state, enterprise's week
The input of phase state and ranking rule as ranking module;
Enterprise's periodic state, including preparing, going into operation, nullifying and closing down four kinds of states;
The ranking module is made of rule parsing module and collection unit;
Rule parsing module is responsible for parsing the ranking rule of different enterprise's periodic states;Including enterprise's dimensional information
Integrality weighted sum enterprise attributes two processes of characteristic weighing;Enterprise's dimensional information refers to enterprise's letter that enterprise database includes
Breath has essential information, four type of foreign capitals information, foreign trade information and industrial and commercial information;Enterprise's weight characteristic weighing refers to four kinds
One or more attributes carry out weight proportion configuration and carry out the process that weight fraction adds up in the company information of type;
The collection unit is responsible for that the result of parsing module output is summarized and sorted, and generates final row
Name result.
The period assignment module provides CRUD access interfaces, for configuring the weighting of dimensional information integrality, attribute spy
Levy weighted sum business life cycle rule;
The rule parsing module provides CRUD access interfaces, for accessing business data;
The collection unit provides CRUD access interfaces, is calculated for accessing enterprise's precedence data and maintaining enterprise ranking
Ratio.
The present invention solve above-mentioned technical problem two technical solution be:
The method is by period assignment module configuration business life cycle rule;By the rule parsing mould of ranking module
Block parsing ranking rule, the result exported by the collection unit of ranking module to parsing module are summarized and are sorted;The row
Name rule parsing is included to the dimensional information attributive character weighting of dimensional information integrality weighted sum enterprise of enterprise;
Enterprise's dimensional information integrality weights flow:
S11 creates self-defined dimensional information integrality Weighted Rule, generates unique rule ID;
S12 selects enterprise's dimensional information type;
S13 carries out weight distribution to the enterprise attributes under enterprise's dimension type, fills in the number in [0,100] interval range
Value is as attribute integrality weight fraction;
S14 preserves dimensional information Weighted Rule;
S15, log recording are completed;
Enterprise's dimensional information attributive character weights flow:
S21 creates Custom Attributes characterization rules, generates unique rule ID;
S22 selects enterprise's dimensional information type;
S23 selects the attribute of configured integrality weight fraction under dimensional information type;
S24 fills in attributive character weight fraction, attribute basis fraction conversion section and transformation rule;
S25 preserves attributive character Weighted Rule;
S26, log recording are completed;
The configuration flow of the business life cycle rule is:
S31 creates self-defined life cycle ranking rule set, generates unique flow ID;
S32 selects business life cycle state;
S33 adds for the single or multiple configured dimensional information integrity rules of each condition selecting and attributive character
Power rule;
S34, two kinds of rules can be configured, can be also separately configured simultaneously;When simultaneous selection, dimension type is between verification rule
It is no consistent;Unique dimension ID is generated with dimension type;
S35 preserves ranking rule set;
S36, log recording are completed.
The rule parsing resume module flow is specifically:
The first step accesses enterprise database;
Second step extracts enterprise's ranking rule set according to business life cycle state;
3rd step parses dimensional information integrity rule, extracts the attribute of configured dimensional information weight;When property value is
When empty, integrality missing is assert;Otherwise the integrality weight fraction of the attribute is extracted, and is accumulated to integrality total score S1;
4th step parses attributive character weight rule, extracts the attribute of configured feature weight;According to property value, attribute
Basic fraction conversion section and transformation rule draw the corresponding basic fraction of the attribute currency;When property value is not or not conversion section
Or when inapplicable regular, basic fraction is 0;Otherwise the weight fraction of the attribute is worth to using basic fraction * weights, and is tired out
Count weight total score S2;
5th step extracts the unique ID of enterprise, and adds attribute dimensions type, integrality total score and weight total score totally three categories
Property, enterprise's precedence data of dimension type is pressed in generation;
6th step terminates process flow, accesses collection unit;
7th step, log recording are completed.
The collection unit process flow is:
The first step obtains the enterprise's precedence data for having generated dimension type;
Second step fills in different life state corresponding integrality total score S1 and weight total score S2 according to business scenario
Calculating ratio P1 and P2, be defaulted as each 50%, ratio and be 100%;
3rd step, the computation rule for calculating enterprise ranking total score S, S are S=S1*P1+S2*P2;
4th step fills in the top and two kinds of success ratio, and being ranked up to total score rearward;
5th step terminates collection unit process flow, and generates each life cycle enterprise ranking inventory, enterprise's final ranking number
According to inventory, forward inventory and inventory rearward;
6th step, log recording are completed.
The present invention is arranged for the commercial government system for being related to business data according to the enterprise in different life state
The theory of the regular weighted of name is carried out classifying type configuration to regular level by the division of enterprise's various dimensions, is tieed up using enterprise
Integrality weighted sum enterprise attributes two processes of characteristic weighing of degree information draw the rank score of enterprise attributes granularity.Each mould
Block is combined closely, and the process of enterprise's ranking is formed the maintainable flow of dynamic, ensure that the flexibility and scalability of system.
Description of the drawings
The present invention is further described below in conjunction with the accompanying drawings:
Fig. 1 is the overall construction drawing of the present invention;
Fig. 2 is the sequence chart of rule parsing module of the present invention;
Fig. 3 is the activity diagram of collection unit of the present invention.
Specific embodiment
Present invention solves the technical problem that it is, data dimension complexity excessive there are data volume for business enterprise data,
It the problem of manually can not fully and effectively carrying out analysis and ranking, provides a kind of based on the enterprise's ranking system that can match somebody with somebody the cycle.It is logical
It crosses and business data is subjected to cutting configuration by life cycle, by attribute integrality and attribute weight, expand grasping for business data
Make scope, add the accuracy of enterprise's ranking.For different business systems it is also an option that suitable weighting scheme and weight
Ratio has ensured the diversity of enterprise's ranking scene.
Fig. 1 shows the overall construction drawings of the present invention, are made of period assignment module and ranking module, and provide corresponding
Exploitation and integrated interface;
Period assignment module is responsible for the corresponding ranking rule of configuration business life cycle state, enterprise's periodic state and row
The combination of name rule is the foundation of enterprise's ranking, and as the input of ranking module;Enterprise's periodic state includes preparation, throws
Produce, nullify and close down four kinds of states;Ranking module is made of rule parsing module and collection unit;Rule parsing module is responsible for
The ranking rule of different enterprise's periodic states is parsed;Integrality weighted sum enterprise attributes including enterprise's dimensional information are special
Sign two processes of weighting;Enterprise's dimensional information refers to the company information that enterprise database includes, and has essential information, foreign capitals information, outer
Four type of trade information and industrial and commercial information;Enterprise's weight characteristic weighing refers to one or more in the company information to four types
Attribute carries out weight proportion configuration and carries out the process that weight fraction adds up;Collection unit is responsible for the knot to parsing module output
Fruit is summarized and is sorted, and generates final ranking result;
In addition, period assignment module provides CRUD access interfaces, for configuring the weighting of dimensional information integrality, attributive character
Weighted sum business life cycle rule;Rule parsing module provides CRUD access interfaces, for accessing business data;Collection unit
CRUD access interfaces are provided, ratio is calculated for accessing enterprise's precedence data and maintaining enterprise ranking.
The implementation method of the present invention is by period assignment module configuration business life cycle rule;By the rule of ranking module
Parsing module parsing ranking rule, the result exported by the collection unit of ranking module to parsing module are summarized and are sorted;
Foregoing ranking rule parsing is included to the dimensional information attributive character weighting of dimensional information integrality weighted sum enterprise of enterprise.
Enterprise's dimensional information integrality weights flow:
S11 creates self-defined dimensional information integrality Weighted Rule, generates unique rule ID;
S12 selects enterprise's dimensional information type;
S13 carries out weight distribution to the enterprise attributes under enterprise's dimension type, fills in the number in [0,100] interval range
Value is as attribute integrality weight fraction;
S14 preserves dimensional information Weighted Rule;
S15, log recording are completed;
Enterprise's dimensional information attributive character weights flow:
S21 creates Custom Attributes characterization rules, generates unique rule ID;
S22 selects enterprise's dimensional information type;
S23 selects the attribute of configured integrality weight fraction under dimensional information type;
S24 fills in attributive character weight fraction, attribute basis fraction conversion section and transformation rule;
S25 preserves attributive character Weighted Rule;
S26, log recording are completed;
The configuration flow of business life cycle rule is:
S31 creates self-defined life cycle ranking rule set, generates unique flow ID;
S32 selects business life cycle state;
S33 adds for the single or multiple configured dimensional information integrity rules of each condition selecting and attributive character
Power rule;
S34, two kinds of rules can be configured, can be also separately configured simultaneously;When simultaneous selection, dimension type is between verification rule
It is no consistent;Unique dimension ID is generated with dimension type;
S35 preserves ranking rule set;
S36, log recording are completed.
Fig. 2 illustrates the sequence chart of invention rule parsing module, and Fig. 3 illustrates the activity diagram of collection unit, related reality
Existing step difference is as follows.
Rule parsing resume module flow is specifically:
The first step accesses enterprise database;
Second step extracts enterprise's ranking rule set according to business life cycle state;
3rd step parses dimensional information integrity rule, extracts the attribute of configured dimensional information weight;When property value is
When empty, integrality missing is assert;Otherwise the integrality weight fraction of the attribute is extracted, and is accumulated to integrality total score S1;
4th step parses attributive character weight rule, extracts the attribute of configured feature weight;According to property value, attribute
Basic fraction conversion section and transformation rule draw the corresponding basic fraction of the attribute currency;When property value is not or not conversion section
Or when inapplicable regular, basic fraction is 0;Otherwise the weight fraction of the attribute is worth to using basic fraction * weights, and is tired out
Count weight total score S2;
5th step extracts the unique ID of enterprise, and adds attribute dimensions type, integrality total score and weight total score totally three categories
Property, enterprise's precedence data of dimension type is pressed in generation;
6th step terminates process flow, accesses collection unit;
7th step, log recording are completed.
Collection unit process flow is:
The first step obtains the enterprise's precedence data for having generated dimension type;
Second step fills in different life state corresponding integrality total score S1 and weight total score S2 according to business scenario
Calculating ratio P1 and P2, be defaulted as each 50%, ratio and be 100%;
3rd step, the computation rule for calculating enterprise ranking total score S, S are S=S1*P1+S2*P2;
4th step fills in the top and two kinds of success ratio, and being ranked up to total score rearward;
5th step terminates collection unit process flow, and generates each life cycle enterprise ranking inventory, enterprise's final ranking number
According to inventory, forward inventory and inventory rearward;
6th step, log recording are completed.
Enterprise's ranking is carried out cutting dissection process by the present invention according to cycle, dimension and attribute, is had the scalability, is applicable in
The features such as scope is wide can be effectively applied in a variety of commercial government systems.
Claims (5)
1. a kind of enterprise's ranking system, it is characterised in that:The system is made of period assignment module and ranking module, and is carried
For developing accordingly and integrated interface;
The period assignment module is responsible for the corresponding ranking rule of configuration business life cycle state, enterprise's cycle shape
The input of state and ranking rule as ranking module;
Enterprise's periodic state, including preparing, going into operation, nullifying and closing down four kinds of states;
The ranking module is made of rule parsing module and collection unit;
Rule parsing module is responsible for parsing the ranking rule of different enterprise's periodic states;It is complete including enterprise's dimensional information
Property weighted sum enterprise attributes two processes of characteristic weighing;Enterprise's dimensional information refers to the company information that enterprise database includes, and has
Essential information, four type of foreign capitals information, foreign trade information and industrial and commercial information;Enterprise's weight characteristic weighing refers to four types
One or more attributes carry out weight proportion configuration and carry out the process that weight fraction adds up in company information;
The collection unit is responsible for that the result of parsing module output is summarized and sorted, and generates final ranking knot
Fruit.
2. enterprise's ranking system according to claim 1, it is characterised in that:
The period assignment module provides CRUD access interfaces, and for configuring the weighting of dimensional information integrality, attributive character adds
Power and business life cycle rule;
The rule parsing module provides CRUD access interfaces, for accessing business data;
The collection unit provides CRUD access interfaces, and ratio is calculated for accessing enterprise's precedence data and maintaining enterprise ranking
Example.
3. a kind of implementation method of enterprise's ranking system described in claim 1 or 2, it is characterised in that:The method be by
Period assignment module configuration business life cycle rule;By the rule parsing module parsing ranking rule of ranking module, by ranking
The result that the collection unit of module exports parsing module is summarized and is sorted;The ranking rule parsing includes tieing up enterprise
Spend the dimensional information attributive character weighting of information integrity weighted sum enterprise;
Enterprise's dimensional information integrality weights flow:
S11 creates self-defined dimensional information integrality Weighted Rule, generates unique rule ID;
S12 selects enterprise's dimensional information type;
S13 carries out weight distribution to the enterprise attributes under enterprise's dimension type, and the numerical value filled in [0,100] interval range is made
For attribute integrality weight fraction;
S14 preserves dimensional information Weighted Rule;
S15, log recording are completed;
Enterprise's dimensional information attributive character weights flow:
S21 creates Custom Attributes characterization rules, generates unique rule ID;
S22 selects enterprise's dimensional information type;
S23 selects the attribute of configured integrality weight fraction under dimensional information type;
S24 fills in attributive character weight fraction, attribute basis fraction conversion section and transformation rule;
S25 preserves attributive character Weighted Rule;
S26, log recording are completed;
The configuration flow of the business life cycle rule is:
S31 creates self-defined life cycle ranking rule set, generates unique flow ID;
S32 selects business life cycle state;
S33 is the single or multiple configured dimensional information integrity rules of each condition selecting and attributive character weighting rule
Then;
S34, two kinds of rules can be configured, can be also separately configured simultaneously;When simultaneous selection, verification rule between dimension type whether one
It causes;Unique dimension ID is generated with dimension type;
S35 preserves ranking rule set;
S36, log recording are completed.
4. implementation method according to claim 3, it is characterised in that:The rule parsing resume module flow is specific
It is:
The first step accesses enterprise database;
Second step extracts enterprise's ranking rule set according to business life cycle state;
3rd step parses dimensional information integrity rule, extracts the attribute of configured dimensional information weight;When property value is sky
When, assert integrality missing;Otherwise the integrality weight fraction of the attribute is extracted, and is accumulated to integrality total score S1;
4th step parses attributive character weight rule, extracts the attribute of configured feature weight;According to property value, attribute basis
Fraction converts section and transformation rule draws the corresponding basic fraction of the attribute currency;When property value not conversion section or
During inapplicable rule, basic fraction is 0;Otherwise the weight fraction of the attribute is worth to using basic fraction * weights, and is accumulated to
Weight total score S2;
5th step extracts the unique ID of enterprise, and adds attribute dimensions type, integrality total score and weight total score totally three attributes,
Enterprise's precedence data of dimension type is pressed in generation;
6th step terminates process flow, accesses collection unit;
7th step, log recording are completed.
5. the implementation method according to claim 3 or 4, it is characterised in that:The collection unit process flow is:
The first step obtains the enterprise's precedence data for having generated dimension type;
Second step fills in the meter of different life state corresponding integrality total score S1 and weight total score S2 according to business scenario
Calculation ratio P1 and P2, are defaulted as each 50%, ratio and be 100%;
3rd step, the computation rule for calculating enterprise ranking total score S, S are S=S1*P1+S2*P2;
4th step fills in the top and two kinds of success ratio, and being ranked up to total score rearward;
5th step terminates collection unit process flow, and it is clear to generate each life cycle enterprise ranking inventory, enterprise's final ranking data
Single, forward inventory and rearward inventory;
6th step, log recording are completed.
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