An Approach to Expert Finding Based on Multi-granularity Two-tuple Linguistic Information

被引：1

作者：

Li, Ming ^{[1
]}

机构：

[1] China Univ Petr, Sch Business Adm, Beijing 102249, Peoples R China

来源：

INFORMATION TECHNOLOGY FOR MANUFACTURING SYSTEMS II, PTS 1-3 | 2011年 / 58-60卷

关键词：

Expert finding; knowledge management system; Fuzzy linguistic modeling; MODEL;

D O I：

10.4028/www.scientific.net/AMM.58-60.1317

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

Since organizational tacit knowledge resides in the owner's brain, finding relevant experts in the specific fields is crucial to utilize this type of knowledge. In this paper, an approach to expert finding is proposed to assist the user to find the required experts. The method adopts the multi-granularity two-tuple linguistic information to construct the expert profile, that is, to model expert's expertise. The user query the expert based on the fuzzy linguistic information. Then, the relevant experts are ranked according to the matching degree between the expert profile and the query. Finally, a numerical example is given to illustrate the effectiveness of the proposed approach.

引用

页码：1317 / 1322

页数：6

共 50 条

[31] Multi-granularity three-way decisions with adjustable hesitant fuzzy linguistic multigranulation decision-theoretic rough sets over two universes
Zhang, Chao
Li, Deyu
Liang, Jiye
INFORMATION SCIENCES, 2020, 507 (507) : 665 - 683
[32] Managing individual evaluator's personalized semantic environment of linguistic term with improved vector expression in multi-granularity linguistic group decision making
Zhai, Yuling
Xu, Zeshui
APPLIED SOFT COMPUTING, 2020, 92
[33] Combined QFD TOPSIS Approach with 2-Tuple Linguistic Information for Warehouse Selection
Buyukozkan, Gulcin
Uzturk, Deniz
2017 IEEE INTERNATIONAL CONFERENCE ON FUZZY SYSTEMS (FUZZ-IEEE), 2017,
[34] A new methodology for fuzzy multi-attribute group decision making with multi-granularity and non-homogeneous information
Li, Deng-Feng
FUZZY OPTIMIZATION AND DECISION MAKING, 2010, 9 (01) : 83 - 103
[35] Multi-granularity sequential three-way recommendation based on collaborative deep learning
Ye, Xiaoqing
Liu, Dun
Li, Tianrui
INTERNATIONAL JOURNAL OF APPROXIMATE REASONING, 2023, 152 : 434 - 455
[36] A large-scale group consensus reaching approach considering self-confidence with two-tuple linguistic trust/distrust relationship and its application in life cycle sustainability assessment
Zhou, Mi
Zheng, Ya-Qian
Chen, Yu-Wang
Cheng, Ba-Yi
Herrera-Viedma, Enrique
Wu, Jian
INFORMATION FUSION, 2023, 94 : 181 - 199
[37] Fault Diagnosis of Complex Industrial Systems Based on Multi-Granularity Dictionary Learning and Its Application
Liu, Zeyi
Wu, Dehao
Huang, Keke
Yang, Chunhua
Gui, Weihua
IEEE TRANSACTIONS ON AUTOMATION SCIENCE AND ENGINEERING, 2024, 21 (01) : 192 - 203
[38] Short-term electrical load forecasting based on multi-granularity time augmented learning
Chu, Junjia
Wei, Chuyuan
Li, Jinzhe
Lu, Xiaowen
ELECTRICAL ENGINEERING, 2025, 107 (03) : 3337 - 3347
[39] An approach to expert recommendation based on fuzzy linguistic method and fuzzy text classification in knowledge management systems
Li, Ming
Liu, Lu
Li, Chuan-Bo
EXPERT SYSTEMS WITH APPLICATIONS, 2011, 38 (07) : 8586 - 8596
[40] Interval-valued intuitionistic linguistic multi-criteria group decision-making method based on the interval 2-tuple linguistic information
Wang, Pei
Xu, Xuanhua
Wang, Jianqiang
Cai, Chenguang
JOURNAL OF INTELLIGENT & FUZZY SYSTEMS, 2017, 33 (02) : 985 - 994

← 1 2 3 4 5 →