Reviewers play a significant role in research
project selection, because their opinions will have
great influence on the decision of the projects which
will be funded. Current methods mainly focus on the
evaluation of reviewers’ competitiveness in a certain
research areas, while ignoring the performance of
reviewers whether is suitable to review a proposal. In
this paper, a group decision support model is proposed
to assess reviewers’ performance in peer review
process. In the proposed model, competitiveness and
relevance of reviewers are considered to evaluate
reviewers. It integrates analytic hierarchy process
(AHP), scoring method and fuzzy linguistic processing.
An illuminating example is used to show the
effectiveness of the proposed method. The results find
that the proposed method is a reasonable method to
assess reviewers, and it can be potentially applied to
reviewer evaluation in the National Natural Science
Foundation of China (NSFC).
Reviewers play a significant role in research
project selection, because their opinions will have
great influence on the decision of the projects which
will be funded. Current methods mainly focus on the
evaluation of reviewers’ competitiveness in a certain
research areas, while ignoring the performance of
reviewers whether is suitable to review a proposal. In
this paper, a group decision support model is proposed
to assess reviewers’ performance in peer review
process. In the proposed model, competitiveness and
relevance of reviewers are considered to evaluate
reviewers. It integrates analytic hierarchy process
(AHP), scoring method and fuzzy linguistic processing.
An illuminating example is used to show the
effectiveness of the proposed method. The results find
that the proposed method is a reasonable method to
assess reviewers, and it can be potentially applied to
reviewer evaluation in the National Natural Science
Foundation of China (NSFC).
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