Qualitative and Quantitative approaches for DM under Uncertainty and Incompleteness en el ICMLC 2013

Information for each organizer

Dr  Jun Liu


School of Computing and Mathematics

Faculty of Engineering

University of Ulster at Jordanstown Campus
Shore Road, Newtownabbey
Co. Antrim BT37 0QB
Northern Ireland, UK



Prof. Luis Martínez


University of Jáen

Department of Computer Sciences

Campus Las Lagunillas s/n

23071 Jaén, Spain



Description of the session


Title: Integration of Quantitative and Qualitative Approaches for Decision Making Under Uncertainty and Incompleteness


Quantitative (also data-driven) and qualitative (also domain knowledge driven) techniques have been widely used in the literature, and they are still hot topics due to its importance and potential improvement in different types of decision making problems. This invited special session will be focused on integration of both techniques for different decision making problem under uncertainty and incompleteness, which aims at providing an opportunity for collecting some excellent work on the above common research areas including the state-of-the-art science and technologies, clarify the rationality and applicability of the approaches and their applications, review accomplishments, assess future directions, and share new ideas, original research results and practical experiences.

Accordingly, we would like to invite you to submit your contribution within the following three research domains decision making uncertainty, which can be theoretical formalisms, calculi and methodologies; algorithms investigation or practical applications:

1) Contribution on development of algorithms and systems for modeling, design, fusing and applying both qualitative and quantitative models to handle multiple and heterogonous information for decision making purpose. The approaches could be either numerical or symbolic, or both, could be based on probability theory, fuzzy/possibility theory, belief function theory, and different varieties of logic based approaches (classical logics or non-classical logics).

2) Contribution on investigating the principles, explanation, and strategies on how humans represent and use incomplete and uncertain data and knowledge from a cognitive science perspective;

3) Contribution on practical applications of the integration of both quantitative and qualitative formalisms and modelling approaches in science, engineering, business and education.

We especially welcome submissions of papers with the focus on applications.


Paper acceptance

Expected number of submitted papers: 10-15

Expected number of accepted papers: 6


Submission Guidelines:

Authors should submit papers directly to the session organizer ( or The deadline of paper submission for this invited session is 20th April, 2013.