Construction of Personalized Expert Yellow Page based on Fuzzy Linguistic Method

DOI

10.2991/lemcs-15.2015.296How to use a DOI?

Keywords

Knowledge map; Expert yellow page; Fuzzy linguistic method; Knowledge management

Abstract

Expert yellow page is the knowledge map of experts. When selecting experts for consulting, besides expertise, learners take personalized factors such as trust, background and familiarity into consideration. In order to fulfill personalized requirements of learners, the construction approach of personalized expert yellow page based on fuzzy linguistic method is proposed. The expertise is identified based on ratings to submitted documents. In the aggregation of ratings, the expertise of the respondent and the degree of agreement are integrated to determine the weight of respondents. The max-min trust prediction method is used to propagate indirect trust degrees. The familiarity and the background are also defined to characterize the preference of learners. The incomplete weight information is required instead of precise values to facilitate the expression of opinions about weights of factors. Based on TOPISIS, the optimal model is constructed to derive the precise weight and then the ranking of experts whthin each category are obtained. The illustrative example shows the proposed method is feasible and efficient.

Copyright

© 2015, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Ming Li
AU  - Dan Xu
AU  - Yanchun Zhu
PY  - 2015/07
DA  - 2015/07
TI  - Construction of Personalized Expert Yellow Page based on Fuzzy Linguistic Method
BT  - Proceedings of the International Conference on Logistics, Engineering, Management and Computer Science
PB  - Atlantis Press
SP  - 1489
EP  - 1493
SN  - 1951-6851
UR  - https://doi.org/10.2991/lemcs-15.2015.296
DO  - 10.2991/lemcs-15.2015.296
ID  - Li2015/07
ER  -