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An Accurate and Impartial Expert Assignment Method for Scientific Project Review Cover

An Accurate and Impartial Expert Assignment Method for Scientific Project Review

Journal of Data and Information Science
Volume 2 (2017): Issue 4 (December 2017)
By:
Open Access
|Dec 2017

Figures & Tables

Figure 1

An example of expert assignment based on selectivity degree.
An example of expert assignment based on selectivity degree.

Figure 2

Two possible assignments (a) and (b).
Two possible assignments (a) and (b).

Figure 3

Algorithm 1 process.
Algorithm 1 process.

Figure 4

Results of fitness degree and research intensity.
Results of fitness degree and research intensity.

Figure 5

Results of academic association analysis (measured by hops).
Results of academic association analysis (measured by hops).
DOI: https://doi.org/10.1515/jdis-2017-0020 | Journal eISSN: 2543-683X | Journal ISSN: 2096-157X
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Language: English
Page range: 65 - 80
Submitted on: Jun 23, 2017
Accepted on: Nov 6, 2017
Published on: Dec 29, 2017
Published by: Chinese Academy of Sciences, National Science Library
In partnership with: Paradigm Publishing Services
Publication frequency: 4 times per year
Keywords:
Expert assignment,
Accuracy,
Impartiality,
Randomized algorithm
Related subjects:
Computer sciences,
Information technology,
Project management,
Databases and data mining

© 2017 Mingliang Yue, Kailin Tian, Tingcan Ma, published by Chinese Academy of Sciences, National Science Library
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.

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