109 urn:lsid:arphahub.com:pub:3dc5f44e-8666-58db-bc76-a455210e8891 JUCS - Journal of Universal Computer Science jucs 0948-695X 0948-6968 Journal of Universal Computer Science 10.3217/jucs-016-01-0003 29568 Research Article F.4.1 - Mathematical Logic I.1 - SYMBOLIC AND ALGEBRAIC MANIPULATION I.2 - ARTIFICIAL INTELLIGENCE M.4 - KNOWLEDGE MODELING Some Views on Information Fusion and Logic Based Approaches in Decision Making under Uncertainty Xu Yang xuyang@home.swjtu.edu.cn 1 Liu Jun 2 Martínez-López Luis 3 Ruan Da 4 Southwest Jiaotong University, Chengdu, China Southwest Jiaotong University Chengdu China Ulster University, Ulster, United Kingdom Ulster University Ulster United Kingdom University of Jaén, Jaén, Spain University of Jaén Jaén Spain Belgian Nuclear Research Centre, Mol, Belgium Belgian Nuclear Research Centre Mol Belgium

Corresponding author: Yang Xu (xuyang@home.swjtu.edu.cn).

Academic editor:

2010 01 01 2010 16 1 3 21 8E723E33-328B-5E15-A7B7-44ACD091E438 7001035 Yang Xu, Jun Liu, Luis Martínez-López, Da Ruan This article is freely available under the J.UCS Open Content License.

Decision making under uncertainty is a key issue in information fusion and logic based reasoning approaches. The aim of this paper is to show noteworthy theoretical and applicational issues in the area of decision making under uncertainty that have been already done and raise new open research related to these topics pointing out promising and challenging research gaps that should be addressed in the coming future in order to improve the resolution of decision making problems under uncertainty.