Journal article
A fuzzy multi-criteria group decision making method for individual research output evaluation with maximum consensus
Knowledge-based systems, v 56
01 Jan 2014
Abstract
Individual research output (IRO) evaluation is both practically and theoretically. important. Current research tends to only consider either bibliometric measures or peer review in IRO evaluation. This paper argues that bibliometric measures and peer review should be applied simultaneously to evaluate IRO. Moreover, in real life situations IRO evaluations are often made by groups and inevitably contain evaluators' subjective judgments. Accordingly, this paper develops a fuzzy multi-criteria group evaluation method which considers objective and subjective evaluations, i.e., bibliometric measures and peer review opinions simultaneously. The goals here are to conquer weighting difficulty and achieve maximum group consensus. This requires determining criteria weights, which we do with an intuitionistic fuzzy weighted averaging operator and then determining evaluator weights, which we do with a fuzzy distance-based method. Thereafter, we use a revised TOPSIS method to aggregate the objective and subjective ratings. A practical case study is used to test the feasibility of the methodology. Finally, we discuss the effectiveness of the proposed method. (C) 2013 Elsevier B.V. All rights reserved.
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Details
- Title
- A fuzzy multi-criteria group decision making method for individual research output evaluation with maximum consensus
- Creators
- Zongmin Li - Drexel UniversityMerrill Liechty - Drexel UniversityJiuping Xu - Sichuan UniversityBenjamin Lev - Drexel University
- Publication Details
- Knowledge-based systems, v 56
- Publisher
- Elsevier
- Number of pages
- 11
- Grant note
- 201206240126 / China Scholarships Council "985" Program of Sichuan University "Innovative Research Base for Economic Development and Management" 2010SCU22009 / Chinese Universities Scientific Fund
- Resource Type
- Journal article
- Language
- English
- Academic Unit
- Decision Sciences (and Management Information Systems)
- Web of Science ID
- WOS:000331160200021
- Scopus ID
- 2-s2.0-84892442330
- Other Identifier
- 991019168692104721
InCites Highlights
Data related to this publication, from InCites Benchmarking & Analytics tool:
- Collaboration types
- Domestic collaboration
- International collaboration
- Web of Science research areas
- Computer Science, Artificial Intelligence