Journal
INFORMATION FUSION
Volume 24, Issue -, Pages 93-107Publisher
ELSEVIER SCIENCE BV
DOI: 10.1016/j.inffus.2014.09.006
Keywords
Decision analysis; Project evaluation; Multiple-criteria decision analysis; Chinese text evaluation information; Multi-granular linguistic label
Funding
- National Natural Science Foundation of China [71171112, 71401064]
- Basic Science Research Foundation of Nanjing University of Aeronautics and Astronautics [NS2014086]
- Jiangsu University Philosophy and Social Sciences Major Project [2012ZDIXM007]
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We propose a novel project evaluation method for non-formatted Chinese text evaluation information. First, the non-formatted Chinese text evaluation information is determined and expressed using extensible markup language and a hypertext preprocessor. Then, the evaluation problem is transformed into a multiple-criteria decision-analysis problem based on multi-granular linguistic labels, including a comprehensive evaluation score for alternatives and an evaluation criteria point score for incomplete items. Next, we propose a weighting model for the criteria based on the minimal difference between the comprehensive evaluation score and the evaluation criterion point score of decision-makers. We establish an estimation model for incomplete evaluation items with the minimal evidence distance of Dempster-Shafer theory using maximal group consistency. In addition, we calculate a weighting for the decision-makers using the similarity of the group. Finally, we present a score modification method for alternatives based on weights of the criteria and the decision-maker. We use a soft science project evaluation and selection to illustrate the application process and feasibility of the proposed method. (C) 2014 Elsevier B.V. All rights reserved.
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