Please wait a minute...
New Technology of Library and Information Service  2007, Vol. 2 Issue (7): 27-31    DOI: 10.11925/infotech.1003-3513.2007.07.07
Current Issue | Archive | Adv Search |
An Information Retrieval Model of SGML Format Documents Based on Multi-granularity 2-tuple Linguistic Approach
Zhang Zhijuan   Liu Xinwang
(School of Economics and Management, Southeast University, Nanjing 210096, China)
Download:
Export: BibTeX | EndNote (RIS)      
Abstract  

In this paper, an information retrieval model of SGML format documents based on multi-granularity 2-tuple linguistic approach is proposed to improve the efficiency of information retrieval. Since Fuzzy Linguistic Approach has been successfully applied to many different areas, especially in the information retrieval area, it is considered the basic theory of this model.

Key words2-tuple linguistic      Multi-granularity      Information retrieval      SGML format documents     
Received: 11 June 2007      Published: 25 July 2007
: 

TP393

 
Corresponding Authors: Zhang Zhijuan     E-mail: seu_zhangzhijuan@yahoo.com.cn
About author:: Zhang Zhijuan,Liu Xinwang

Cite this article:

Zhang Zhijuan,Liu Xinwang. An Information Retrieval Model of SGML Format Documents Based on Multi-granularity 2-tuple Linguistic Approach. New Technology of Library and Information Service, 2007, 2(7): 27-31.

URL:

https://manu44.magtech.com.cn/Jwk_infotech_wk3/EN/10.11925/infotech.1003-3513.2007.07.07     OR     https://manu44.magtech.com.cn/Jwk_infotech_wk3/EN/Y2007/V2/I7/27

[1] Matzen R W,  George K M, Hedrick G E. A Formal Language Model for Parsing SGML[J]. J. Systems Software,1997(36): 147-166.
[2] Herrera-Viedma E,  Peis E. Evaluating the Informative Quality of Documents in SGML Format from Judgements by Means of Fuzzy Linguistic Techniques Based on Computing with Words[J]. Information Processing and Management, 2003(39):233-249.
[3] 王汉元. 置标语言以及SGML、HTML和XML的关系[J]. 情报杂志,2005(3): 67-68.
[4] 李勇,王洪. 标准通用置标语言SGML简介[J]. 航空标准化与质量, 2005(5): 16-18.
[5] Herrera-Viedma E. Modeling the Retrieval Process for an Information Retrieval System Using an Ordinal Fuzzy Linguistic Approach[J]. Journal of American Society for Information Science and Technology, 2001,52(6): 460-475.
[6] Herrera-Viedma E, Lopez-Herrera F G, Porel C. Tuning the Matching Function for a Threshold Weighting Semantics in a Linguistic Information Retrieval System[J]. International Journal of Intelligent Systems, 2005(20): 921-937.
[7] 陈岩, 樊治平. 语言判断矩阵的一致性及相关问题研究[J]. 系统工程理论与实践, 2004(4): 136-141.
[8] Cordon O, Herrera F. A Proposal for Improving the Accuracy of Linguistic Modeling[J]. IEEE Transactions on Fuzzy Systems, 2000,8(3): 335-344.
[9] 姜艳萍, 樊治平. 二元语义信息集结算子的性质分析[J]. 控制与决策, 2003, 18(6): 754-757.
[10] Chen S M, Horng Y J, Lee C H. Fuzzy Information Retrieval Based on Multi-Relationship Fuzzy Concept Networks[J]. Fuzzy Sets and Systems, 2003,140(1):183-205.
[11] Chen S J, Chen S M. Fuzzy Information Retrieval Based on Geometric-mean Averaging Operators[J]. Computers and Mathematics with Applications, 2005,49(7-8):1213-1231.
[12] Herrera F, Martinez L. A 2-tuple Fuzzy Linguistic Representation Model for Computing with Words[J]. IEEE Transaction on Fuzzy Systems, 2000(12):746-752.
[13] Hweewea-Viedma E, Cordon O, Luque M, et al. A Model of Fuzzy Linguistic IRS Based on Multi-Granular Linguistic Information[J]. International Journal of Approximate Reasoning, 2003(34):221-239.
[14] 姜艳萍, 樊治平. 基于二元语义符号运算的群决策方法[J]. 系统工程与电子技术, 2003,25(11): 1373-1376.
[15] 姜艳萍, 樊治平. 基于不同粒度语言判断矩阵的群决策方法[J]. 系统工程学报, 2006, 21(3): 249-253.
[16] Herrera-Viedma E. An Information Retrieval Model with Ordinal Linguistic Weighted Queries Based on Two Weighting Elements[J]. International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems, 2001(9): 77-87.
[17] Herrera F, Herrera-Viedma E, Martinez L. A Fusion Approach for Managing Multi-Granularity Linguistic Term Sets in Decision Making[J]. Fuzzy Sets and Systems, 2000,114(1):43-58.
[18] Herrera F, Martinez L. The 2-tuple Linguistic Computational Model.Advantages of its Linguistic Description, Accuracy and Consistency[J].  International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems, 2001(9): 33-48.

[1] Huang Mingxuan,Jiang Caoqing,Lu Shoudong. Expanding Queries Based on Word Embedding and Expansion Terms[J]. 数据分析与知识发现, 2021, 5(6): 115-125.
[2] Meng Zhen,Wang Hao,Yu Wei,Deng Sanhong,Zhang Baolong. Vocal Music Classification Based on Multi-category Feature Fusion[J]. 数据分析与知识发现, 2021, 5(5): 59-70.
[3] Li Yueyan,Wang Hao,Deng Sanhong,Wang Wei. Research Trends of Information Retrieval——Case Study of SIGIR Conference Papers[J]. 数据分析与知识发现, 2021, 5(4): 13-24.
[4] Mingxuan Huang,Shoudong Lu,Hui Xu. Cross-Language Information Retrieval Based on Weighted Association Patterns and Rule Consequent Expansion[J]. 数据分析与知识发现, 2019, 3(9): 77-87.
[5] Sun Haixia,Wang Lei,Wu Yingjie,Hua Weina,Li Junlian. Matching Strategies for Institution Names in Literature Database[J]. 数据分析与知识发现, 2018, 2(8): 88-97.
[6] Yang Chaofan,Deng Zhonghua,Peng Xin,Liu Bin. Review of Information Retrieval Research: Case Study of Conference Papers[J]. 数据分析与知识发现, 2017, 1(7): 35-43.
[7] Zhang Xiaojuan,Han Yi. Reviews on Temporal Information Retrieval[J]. 数据分析与知识发现, 2017, 1(1): 3-15.
[8] Huang Mingxuan. Cross Language Information Retrieval Model Based on Matrix-weighted Association Patterns Mining[J]. 数据分析与知识发现, 2017, 1(1): 26-36.
[9] Ding Heng,Lu Wei. Building Standard Literature Knowledge Service System[J]. 现代图书情报技术, 2016, 32(7-8): 120-128.
[10] Heng Ding, Wei Lu. A Study on Correlation-based Cross-Modal Information Retrieval[J]. 现代图书情报技术, 2016, 32(1): 17-23.
[11] Li Xiangdong, Ba Zhichao, Huang Li. Allocation and Multi-granularity[J]. 现代图书情报技术, 2015, 31(5): 42-49.
[12] Song Meiqing. Research on Multi-granularity Users' Preference Mining Based on Collaborative Filtering Personalized Recommendation[J]. 现代图书情报技术, 2015, 31(12): 28-33.
[13] Mao Jin, Li Gang, Cao Yujie. Re-rank Retrieval Results Through Subject Indexing[J]. 现代图书情报技术, 2014, 30(7): 48-55.
[14] Qiu Junping, Fang Guoping. The Comparative Analysis of Natural Language Processing Research at Home and Abroad Based on Knowledge Mapping[J]. 现代图书情报技术, 2014, 30(12): 51-61.
[15] Tang Jingxiao,Lv Xueqiang,Liu Chengyang,Li Han. A Hierarchical Framework for User Intention Recognition[J]. 现代图书情报技术, 2014, 30(1): 36-42.
  Copyright © 2016 Data Analysis and Knowledge Discovery   Tel/Fax:(010)82626611-6626,82624938   E-mail:jishu@mail.las.ac.cn