Next Article in Journal
Using Proven Reference Monitor Patterns for Security Evaluation
Previous Article in Journal
On-Body Smartphone Localization with an Accelerometer
Article Menu

Export Article

Open AccessArticle
Information 2016, 7(2), 22; doi:10.3390/info7020022

An Approach to the Match between Experts and Users in a Fuzzy Linguistic Environment

School of Business Administration, China University of Petroleum, Beijing 102249, China
*
Author to whom correspondence should be addressed.
Academic Editor: Willy Susilo
Received: 28 January 2016 / Revised: 23 March 2016 / Accepted: 7 April 2016 / Published: 14 April 2016
View Full-Text   |   Download PDF [1357 KB, uploaded 14 April 2016]   |  

Abstract

Knowledge management systems are widely used to manage the knowledge in organizations. Consulting experts is an effective way to utilize tacit knowledge. The paper aims to optimize the match between users and experts to improve the efficiency of tacit knowledge-sharing. Firstly, expertise, trust and feedback are defined to characterize the preference of users for experts. Meanwhile, factors including trust, relationship and knowledge distance are defined to characterize the preference of experts for users. Then, a new method for the measurement of satisfaction based on the principle of axiomatic design is proposed. Afterwards, in order to maximize the satisfaction of both experts and users, the optimization model is constructed and the optimal solution is shown in the matching results. The evaluation results show the approach is feasible and performs well. The approach provides new insights for research on tacit knowledge-sharing. It can be applied as a tool to match experts with users in the development of knowledge management systems. The fuzzy linguistic method facilitates the expression of opinions, and as a result, the users-system interaction is improved. View Full-Text
Keywords: fuzzy linguistic method; tacit knowledge; experts matching; knowledge management systems fuzzy linguistic method; tacit knowledge; experts matching; knowledge management systems
Figures

Figure 1

This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

Scifeed alert for new publications

Never miss any articles matching your research from any publisher
  • Get alerts for new papers matching your research
  • Find out the new papers from selected authors
  • Updated daily for 49'000+ journals and 6000+ publishers
  • Define your Scifeed now

SciFeed Share & Cite This Article

MDPI and ACS Style

Li, M.; Yuan, M. An Approach to the Match between Experts and Users in a Fuzzy Linguistic Environment. Information 2016, 7, 22.

Show more citation formats Show less citations formats

Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Related Articles

Article Metrics

Article Access Statistics

1

Comments

[Return to top]
Information EISSN 2078-2489 Published by MDPI AG, Basel, Switzerland RSS E-Mail Table of Contents Alert
Back to Top