A Hybrid Fuzzy Multi-criteria Group Decision Making and Statistical Method for Scientific Journal Evaluation

This paper argues that objective and subjective evaluation should be applied simultaneously to evaluate scientific journal. Moreover, the evaluation is often made by groups and inevitably contains evaluators´ subjective judgments. Accordingly, this paper develops a hybrid fuzzy multi-criteria group evaluation and statistics method which considers objective and subjective evaluations, i.e., bibliometric measures and peer review opinions simultaneously. A model is established to achieve maximum group consensus. To determine the criteria weights, this paper applies an intuitionistic fuzzy weighted averaging operator and to obtain the evaluator weights, a fuzzy distance-based method is used. Thereafter, this paper uses TOPSIS method to aggregate the objective and subjective ratings. Finally, a practical case study is presented.