CN102117324A - File management method and management system applying fuzzy matrice - Google Patents

File management method and management system applying fuzzy matrice Download PDF

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Publication number
CN102117324A
CN102117324A CN 201110045400 CN201110045400A CN102117324A CN 102117324 A CN102117324 A CN 102117324A CN 201110045400 CN201110045400 CN 201110045400 CN 201110045400 A CN201110045400 A CN 201110045400A CN 102117324 A CN102117324 A CN 102117324A
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file
fuzzy
membership
degree
matrix
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CN102117324B (en
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康晓勇
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Shanghai Founder Technology Computer System Co Ltd
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Shanghai Founder Technology Computer System Co Ltd
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Abstract

The invention discloses a file management method and a management system applying a fuzzy matrice. The management method comprises the following steps of conducting traverse searching on the files in a rigid disk, and obtaining all the features of each file in an NTFS (NT File System); generating a membership fuzzy matrice according to the file features, wherein the membership shows the correlation degree of the file and the features; and calling the membership fuzzy matrice according to the file features appointed by a user, and listing the file having the features. The management system comprises a file search engine, an operation system resource manager, a fuzzy matrice creater and a file querier. The method and system realize fuzzy management on the files and solve the defects that the NTFS cannot conduct fuzzy processing and the user can obtain the file needed only by conducting further judgment on the file searched. The fuzzy matrice is generated through automatically searching the file, and the user can search the relevant file fast when needing the file having a certain feature, thus improving efficiency.

Description

Use the file management method and the management system of fuzzy matrix
Technical field
The present invention relates to a kind of file management method and management system, relate in particular to a kind of file management method and system that uses fuzzy matrix.
Background technology
IT wave makes the data of electronization roll up, and the fast development of big capacity hard disk technology is then in technology with financially provide the possibility of storing heap file in computing machine for the user.When the file of storing in the hard disc of computer reaches some, how effectively to manage, search and use these files just to become an important problem.Particularly when the user need carry out software development at file management, it is more outstanding that this problem just seems.In other words, compare with capacity problem, it is more and more important that efficiency is just seeming.
The user can use file management system self-built in the operating system at present, at present pandemic Windows operating system, generally the file management system of Shi Yonging is FAT32 and NTFS, and NTFS has become the main flow file management system of Windows operating system at present.Application software needs to use these two kinds of file management systems to operate when using file.Because the closure of these two kinds of file system, make us can't further obtain its operational detail, and with regard to its operation performance, when carrying out the files in batches processing, batch as a certain type file uses, has the retrieval of some same characteristic features file etc., has following deficiency:
1, comes management document according to filename.Filename is the basis of NTFS as the file most important characteristic, and the demand file name has uniqueness to a certain extent, when showing the user, also with filename as topmost displaying feature.And in actual use, the user gives identical filename for the different files under the different paths sometimes, when these files of user search, is difficult to be distinguished.
2, file is adopted accurate management Strategy.NTFS can accurately manage it according to the various features of file, as file name, and type, key word, date created is revised the date, path etc.When a plurality of files during at same theme, if the feature of these files in NTFS do not have the correlativity of dominance, as: the human resources file of checking a certain employee, may comprise the employee information file, labour contract file etc., but state's laws rules file sometimes, the relevant manpower policy document of company etc. also can appear among the result.NTFS can't judge user's needs and provide satisfactory result that the user must manually realize or realize automatically by database software automatically.
3, adopt the strategy that uses as required fully.That is: when the user need use the file with certain feature, Windows just can search by the NTFS file management system, search finish after, just can need operate according to the user.Operate at file with regard to making like this, particularly the quantity of documents that will operate more for a long time, execution efficient is on the low side.
Summary of the invention
The purpose of this invention is to provide a kind of file management method and management system of using fuzzy matrix, automatically file is carried out traversal search, set up fuzzy set, set up file management according to the feature that it characterized and the value of degree of membership.When the user operated at the file with a certain feature, the presents management system can find associated documents fast according to the fuzzy set of having set up before this, and according to its degree of membership ordering, used for the user.
The invention provides a kind of file management method, comprising:
1) file in the hard disk is carried out traversal search,, obtain its all feature in NTFS at each file;
2) according to the feature of the file that obtains, the degree of membership fuzzy matrix of spanned file, degree of membership is represented the degree of correlation of file and feature;
3) according to the file characteristic of user's appointment, call the degree of membership fuzzy matrix, list the file that possesses this feature.When the user need operate at the file with a certain feature, method of the present invention can be listed the corresponding file that possesses this feature according to each degree of membership of the file that has this feature in the fuzzy matrix;
Described file management method utilizes the idling-resource of operating system to carry out automatically.
The file of described traversal search is the user file in the hard disk.System file is not searched for.The identification of user file can utilize the existing techniques in realizing of terminal operating system.
The generation method of described degree of membership fuzzy matrix is:
A, the rank associated with the file according to feature, i.e. the priority of feature generates the feature sparse matrix of single file, and the non-zero entry of matrix is represented the feature of this document;
B, on the basis of feature priority, obtain the degree of membership value of a file and a feature, promptly obtain the degree of correlation value of file and feature.The degree of membership value can manually be set by the user, and the binary contrast ranking method that also can adopt present widespread use is by calculating automatic setting.
C, the degree of membership that will comprise the All Files of same feature generate fuzzy set;
D, the fuzzy set of all features is combined to form the degree of membership fuzzy matrix, the degree of membership fuzzy matrix is the total characteristic sparse matrix, and a non-zero entry in the matrix is represented a kind of feature.The total characteristic sparse matrix no longer is at the sparse matrix of some specific files, but at the feature sparse matrix of all user files, all corresponding fuzzy set of non-zero entry characteristic of correspondence.Each fuzzy set all regarded as directly generate a element in the sparse matrix sparse matrix and get final product, the simple application of mathematical concept just here, the total characteristic sparse matrix be generated as prior art.
The generation of described fuzzy set is to locate the file that all comprise same feature by single feature sparse matrix.The feature sparse matrix of file is used for the feature that markup document had, and by sparse matrix, can locate the All Files that comprises a certain feature fast.Thereby the degree of membership of quick spanned file; Significantly reduce computing time.
The ordering of element is according to the ordering of degree of membership size in the described fuzzy set.Promptly according to the size of degree of membership value to the adjustment of sorting of element in the fuzzy set.
The described method of calling the fuzzy matrix files listed comprises:
Call the degree of membership fuzzy matrix, according to the nonzero element in user's specific characteristic extraction fuzzy matrix;
According to the corresponding degree of membership of nonzero element, list the degree of membership corresponding file.
Further, the described method of calling the fuzzy matrix files listed is:
Call the total characteristic sparse matrix,, extract the element of total characteristic sparse matrix correspondence according to the position of user's specific characteristic correspondence;
Access the fuzzy set of element correspondence;
List the All Files of fuzzy set record.Because in the generative process of total characteristic sparse matrix, write down the pairing position of each feature, therefore when calling, only needed the existing simple sparse matrix feature extracting method of applied mathematics, extract the element that indicates feature in the total characteristic sparse matrix, i.e. the fuzzy set of this feature.Fuzzy set has write down all and has comprised the file and the degree of membership thereof of this feature, has so just found all to have the file of this feature.
Listed file is by the output of degree of membership size order.
The present invention simultaneously also provides a kind of file management system, comprising:
Medium file search engine is used for all user files of traversal search hard disk.Medium file search engine can automatically perform, can compartment system file and user file;
The operating-system resources manager, the idling-resource of supervisory system also starts or the close file search engine according to the utilization rate of system resource;
The fuzzy matrix maker obtains degree of membership, generates the degree of membership fuzzy matrix;
The file polling device, according to user's specific characteristic, search degree of membership fuzzy matrix is listed the file that comprises this feature.When the user need inquire about the file that satisfies certain feature, this requestor was inquired about qualified degree of membership according to feature in fuzzy matrix, listed the pairing file of degree of membership.The process of inquiry is the process of extracting in the degree of membership fuzzy matrix to element that should feature, the mathematical principle of its utilization is: if extract that m altogether is capable, the element of capable, the j column position of i in the n row sparse matrix, only need to use that n is capable, the m column matrix multiplies each other with it and gets final product, require that this matrix is capable except that j, i column position element is 1, other position elements all are 0.
The advantage and the good effect of invention:
Set up the file management system that relies on the file characteristic degree of membership, thereby realize fuzzy management to file, can use at the file of fuzzy characteristics, solved the NTFS system and can't carry out Fuzzy Processing, the user need further judge the deficiency of the file that just can obtain needs to the file that retrieves.Before using file, by automatic retrieving files, generating feature sparse matrix and fuzzy matrix, set up management to file system, when the user need use the file of a certain feature, can retrieve associated documents rapidly, improved utilization ratio.
Description of drawings
Fig. 1 is the FB(flow block) of management method of the present invention;
Fig. 2 is the FB(flow block) of process user file step in the embodiment of the invention;
Fig. 3 is the FB(flow block) when handling the unique user file in the embodiment of the invention;
Fig. 4 is the FB(flow block) of single feature in the process user file in the embodiment of the invention;
Embodiment
Can't carry out the fuzzy management of file and carry out the fuzzy slow problem of retrieval rate that makes of file in order to solve the NTFS system, the invention provides a cover file management way and a system, by setting up fuzzy matrix, the importance of file characteristic and the correlativity of file and feature are quantized.When the user need use the file that comprises a certain fuzzy characteristics, the present invention will be the listed files of user after sorting by degree of correlation and importance.
File management system of the present invention comprises medium file search engine, all user files in the traversal search hard disk.
The operating-system resources manager, the idling-resource of supervisory system, when the system resource utilization rate is low, the startup file search engine, when the system resource utilization rate is higher, the close file search engine;
The fuzzy matrix maker calculates or obtains the degree of membership of file, and generates fuzzy set according to the degree of membership of file, generates the degree of membership fuzzy matrix according to fuzzy set;
The file polling device, when the user need inquire about the file that satisfies certain feature, this requestor was inquired about qualified degree of membership according to feature in fuzzy matrix, listed corresponding file in proper order by the height of degree of membership.
Embodiments of the invention are the file pollings that carry out " human resources associated documents " this fuzzy characteristics.Employee's associated documents may comprise multiple different characteristic, comprise employee's essential information, employee's performance information, evaluation of employee evaluation, company regulation and policy about the employee work post, country is about the laws and regulations of human resources, the company regulations rules about human resources, distinctive alternative document of employee or the like.These features are dispersed in the different files, and when the user need handle at the file of fuzzy characteristics, which file was by as being that " human resources associated documents " need be decided according to the priority of feature and the degree of correlation of feature and file.Therefore, for all associated documents are set priority and degree of membership, when user inquiring, will offer the user according to the listed files after the size ordering of the height of priority and degree of membership, make the preferential file of showing more satisfy user's subjective judgement, thereby saved user's the subjective judgement time.The user need delimit priority and degree of membership lower limit, not conducts " human resources file " of file that lower limit is following, and the above file of lower limit just is used as Search Results and is shown.
Fig. 1 is the overall procedure block diagram of management method of the present invention.
At first, medium file search engine travels through retrieval and extracts the feature of each file in the NTFS system all user files on the hard disk, and characteristic feature has filename and file type etc.
The second, the fuzzy matrix maker is according to each feature of user file, and the fuzzy matrix of spanned file degree of membership is gathered, i.e. the degree of membership fuzzy matrix.The concrete generation step of fuzzy matrix is as follows:
(1) according to the priority of the feature of having set, for user file is set up the feature sparse matrix;
(2) obtain the degree of membership of each feature in each file, concrete generative process is referring to Fig. 2,3,4.
Fig. 2 is the processing flow chart of user file among Fig. 1.In embodiments of the present invention, this program can be determined priority and the degree of membership of file at this feature to handling such as the file with " human resources file " such fuzzy characteristics.In the flow process of process user file, at first file table and file characteristic management summary table have been handled in initialization; Extract user file then; Judge whether this document is treated, if handled then extracted next user file, if the untreated this document of then handling of this document, and upgrade and handled file table and file characteristic management summary table.
Fig. 3 is a process flow diagram of handling this document among Fig. 2, when user file is new untreated user file, all features of extraction document and generate the Features Management table of this document then, simultaneously according to this Features Management table, generate single file characteristic sparse matrix, the non-zero entry of matrix represent file feature.If this user file is the user file of handling, then find existing file characteristic admin table of this user file and corresponding file feature sparse matrix; Read each feature in the file characteristic admin table then, each feature is handled.
Fig. 4 has then shown flow process that feature is handled in the file characteristic admin table.Judge at first whether this feature was handled, if handled then backspace file processing; If do not handle to judge then whether this feature is new feature, if be not new feature, then directly read the degree of membership value of this feature, if this is characterized as the degree of membership value that new feature then generates this feature, this value is generated by binary contrast ranking method; The Features Management table of final updating file.
Can obtain the degree of membership value of a feature comprising in the file through above-mentioned processing.
Table 1 is the file characteristic admin table example of a certain file.The file characteristic admin table comprises the title or the description of feature, represents with capitalization A, B, C in example, has represented the feature of the required expression of user.Priority has been represented the relevant rank of file with feature, and the feature that priority is high shows that the significance level of the relative this document of this feature is also high, and the feature that priority is high will preferentially be offered the user and use.Degree of membership is represented the concrete degree of correlation of this document and each feature, and under the identical situation of priority, the file that degree of membership is high will preferentially be offered the user and use.
Table 1 file characteristic admin table
Feature A B C D
Priority 1 2 3 4
Degree of membership 0.75 0.88 0.63 0.44
(3) generate the degree of membership fuzzy set
Through above-mentioned file processing, obtain each file relatively after the degree of membership of each feature, the degree of membership that will comprise the All Files of same feature generates fuzzy set; As shown in table 2, the file that comprises the human resources feature has " employee's performance information ", " evaluation of employee evaluation ", " employee's essential information ", " employee post regulation ", " company's manpower system ".
Table 2 human resources file admin table
File Employee's performance information Evaluation of employee is estimated Employee's essential information Employee post regulation Company's manpower system
Priority 1 1 3 2 4
Degree of membership 0.78 0.84 0.60 0.65 0.43
(4) fuzzy set with all features is combined to form the degree of membership fuzzy matrix, and the degree of membership fuzzy matrix is the total characteristic sparse matrix, a non-zero entry correspondence in the matrix fuzzy set.The preferred diagonal line sparse matrix of this matrix.Element in the fuzzy set is by degree of membership height series arrangement.
The 3rd, the user can carry out file operation behind the acquisition fuzzy matrix.
File characteristic according to user's appointment calls fuzzy matrix, and according to the fuzzy set of this feature correspondence, drop goes out to blur concentrates the degree of membership corresponding file, and exports from high to low by degree of membership.As shown in Figure 1, the user can operate file by the fuzzy data Processing Interface in the file polling device by the application program of oneself developing, that is to say, the user can import feature that the user need retrieve and required priority lower limit and degree of membership lower limit in the Fuzzy Processing interface, find out qualified file.
During such as inquiry " human resources " this feature, suppose that it is 3 that the user sets the priority lower limit, the degree of membership lower limit is 0.70.If the relation of the two is set at " or ", then Search Results is higher than 3 grades with display priority, and degree of membership is higher than 0.70 All Files.Then " employee's performance information ", " evaluation of employee evaluation ", " employee post regulation " these three files all become Search Results; " employee's essential information ", though priority meets the requirements, degree of membership is lower than 0.70, can not become Search Results; " company's manpower system " can not become Search Results equally.If the relation of the two is set at " with ", then only " employee's performance information ", " evaluation of employee evaluation " this two each and every one file become Search Results, and " employee post regulation " is because degree of membership is lower than 0.70, not as Search Results.Search Results is listed to the user with the form of two dimension according to the height order of priority and degree of membership.

Claims (10)

1. a file management method of using fuzzy matrix comprises the steps:
1) file in the hard disk is carried out traversal search,, obtain its all feature in NTFS at each file;
2) according to file characteristic, generate the degree of membership fuzzy matrix, degree of membership is represented the degree of correlation of file and feature;
3) according to the file characteristic of user's appointment, call the degree of membership fuzzy matrix, list the file that possesses this feature.
2. the file management method of application fuzzy matrix according to claim 1, the file that it is characterized in that described traversal search are the user file in the hard disk.
3. the file management method of application fuzzy matrix according to claim 1 is characterized in that the generation method of described degree of membership fuzzy matrix is:
A, according to the priority of feature, generate the feature sparse matrix of single file, the non-zero entry of matrix is represented the feature of file;
B, on the basis of feature priority, obtain the single file degree of membership relevant with single feature;
C, the degree of membership that will comprise the All Files of same feature generate fuzzy set;
D, the fuzzy set of all features is combined to form the degree of membership fuzzy matrix, the degree of membership fuzzy matrix is the total characteristic sparse matrix, and a non-zero entry in the matrix is represented a kind of feature.
4. the file management method of application fuzzy matrix according to claim 3 is characterized in that locating all files that comprise same feature by single feature sparse matrix generates fuzzy set.
5. the file management method of application fuzzy matrix according to claim 3 is characterized in that element is according to the ordering of degree of membership size in the described fuzzy set.
6. the file management method of application fuzzy matrix according to claim 1 is characterized in that the described method of calling the fuzzy matrix files listed comprises:
Call the degree of membership fuzzy matrix, extract nonzero element corresponding in the fuzzy matrix according to user's specific characteristic;
According to the degree of membership of nonzero element correspondence, list the degree of membership corresponding file.
7. the file management method of application fuzzy matrix according to claim 3 is characterized in that the described method of calling the fuzzy matrix files listed is:
Call the total characteristic sparse matrix,, extract the element of total characteristic sparse matrix correspondence according to the position of user's specific characteristic correspondence;
Access the fuzzy set of element correspondence;
List the All Files of fuzzy set record.
8. according to the file management method of claim 1 or 6 or 7 described application fuzzy matrixes, it is characterized in that listed file exports from high to low by degree of membership.
9. the file management method of application fuzzy matrix according to claim 1 is characterized in that described file management method utilizes the idling-resource of operating system to carry out automatically.
10. file management system of using fuzzy matrix is characterized in that comprising:
Medium file search engine is used for all user files of traversal search hard disk;
The operating-system resources manager, the idling-resource of supervisory system also starts or the close file search engine according to the utilization rate of system resource;
The fuzzy matrix maker obtains degree of membership, generates the degree of membership fuzzy matrix;
The file polling device, according to the file characteristic of user's appointment, inquiry degree of membership fuzzy matrix, and list corresponding file.
CN201110045400A 2011-02-24 2011-02-24 File management method and management system applying fuzzy matrice Expired - Fee Related CN102117324B (en)

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Cited By (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN104991963A (en) * 2015-07-23 2015-10-21 中国工商银行股份有限公司 File processing method and file processing apparatus
CN105159971A (en) * 2015-08-26 2015-12-16 成都布林特信息技术有限公司 Cloud platform data retrieval method

Families Citing this family (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN111680198B (en) * 2020-04-29 2021-05-11 浙江海洋大学 File management system and method based on file segmentation and feature extraction

Citations (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20050138079A1 (en) * 2003-12-17 2005-06-23 International Business Machines Corporation Processing, browsing and classifying an electronic document
CN101105799A (en) * 2007-08-02 2008-01-16 华中科技大学 Method for evaluating file importance degree
CN101458695A (en) * 2008-12-18 2009-06-17 西交利物浦大学 Mixed picture index construct and enquiry method based on key word and content characteristic and use thereof

Patent Citations (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20050138079A1 (en) * 2003-12-17 2005-06-23 International Business Machines Corporation Processing, browsing and classifying an electronic document
CN101105799A (en) * 2007-08-02 2008-01-16 华中科技大学 Method for evaluating file importance degree
CN101458695A (en) * 2008-12-18 2009-06-17 西交利物浦大学 Mixed picture index construct and enquiry method based on key word and content characteristic and use thereof

Cited By (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN104991963A (en) * 2015-07-23 2015-10-21 中国工商银行股份有限公司 File processing method and file processing apparatus
CN104991963B (en) * 2015-07-23 2018-09-25 中国工商银行股份有限公司 Document handling method and device
CN105159971A (en) * 2015-08-26 2015-12-16 成都布林特信息技术有限公司 Cloud platform data retrieval method
CN105159971B (en) * 2015-08-26 2018-12-14 上海天使印记信息科技有限公司 A kind of cloud platform data retrieval method

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