Call for Papers WCCI 2016 Special Session: Uncertainty Theory and Its Application

Organizers:

Zutong Wang, Ph.D
Senior Lecturer
School of Materiel Management and Safety Engineering
Air Force Engineering University
Xi’an 710051, China
Email: bravetom@163.com

Baoding Liu, Ph.D
Professor
Uncertainty Theory Laboratory
Department of Mathematical Sciences
Tsinghua University
Beijing 100084, China
Tel: +86.10.6278.7724
Email: liu@tsinghua.edu.cn
http://orsc.edu.cn/liu

Dan Ralescu, Ph.D
Professor
Department of Mathematical Sciences
University of Cincinnati
Cincinnati, OH 45221-0025
U.S.A.
Email: ralescd@ucmail.uc.edu

Jiansheng Guo, Ph.D
Professor
School of Materiel Management and Safety Engineering
Air Force Engineering University
Xi’an 710051, China
Email: amisc@163.com

In order to deal with indeterminacy mathematically, two axiomatic systems have been founded, namely, probability theory and uncertainty theory. When no samples are available to estimate a probability distribution, we have to invite some domain experts to evaluate the belief degree that each event will happen. In order to rationally deal with personal belief degrees, uncertainty theory was founded in 2007 and subsequently studied by many researchers. Nowadays, uncertainty theory has become a branch of mathematics.

Scope and Topics

The goal of this special session is to provide an excellent forum for the discussion of the latest theoretical advances and practical applications in this exciting research field, to help foster the understanding, development, and practice of uncertainty theory for solving problems in economy, engineering, management and the social sciences. We invite the submission of high-quality, original and unpublished papers in this area. The topics of interest include, but are not limited to:

• Uncertainty theory
• Uncertain statistics 
• Uncertain programming 
• Uncertain risk analysis 
• Uncertain set 
• Uncertain logic 
• Uncertain inference 
• Uncertain process 
• Uncertain calculus 
• Uncertain differential equation 
• Other real-world applications

Short biography of the organizers

Zutong Wang received his B.S. degree in 2009, M.S. degree in 2011 and Ph.D. degree in 2014 from Air Force Engineering University. He joined Air Force Engineering University as Lecturer in 2012. Dr. Wang’s main research interests are uncertainty theory, uncertain programming, multiobjective programming, UAV mission planning, intelligent algorithm and combinatorial optimization.
Baoding Liu received his B.S. degree in 1986 from Nankai University, and his M.S. degree in 1989 and Ph.D. degree in 1993 from Chinese Academy of Sciences. He joined Tsinghua University as Associate Professor in 1996, and was appointed Professor of Mathematics in 1998. Dr. Liu’s research led to the development of uncertainty theory that is a branch of axiomatic mathematics for modeling belief degrees.

Dan Ralescu received his Ph.D. degree in 1980 from Indiana University (Bloomington). He joined University of Cincinnati as Assistant Professor in 1980, and was appointed Professor of Mathematics in 1995. Dr. Ralescu’s main research interests are Probability Theory, Limit theorems for random sets; mixed models of uncertainty; fuzzy sets and their applications; statistical decision theory in the presence of fuzziness; testing of statistical hypotheses using set-valued data; Bayesian robustness; management of large data sets.

Jiansheng Guo received his B.S. degree in 1988 and M.S. degree in 1996 from Air Force Engineering University, and his Ph.D. degree in 2003 from Northwestern Polytechnical University. He joined Air Force Engineering University as Associate Professor in 1996, and was appointed Professor of Engineering in 2003. Dr. Guo’s main research interests are information management system, big data, uncertain programming, multiobjective programming, redundancy allocation problem, intelligent algorithm and combinatorial optimization.

The main previous work by Zutong Wang
[1] Zutong Wang; Jiansheng Guo; Mingfa Zheng; Ying Wang. Uncertain multiobjective traveling salesman problem[J]. European Journal of Operational Research, 241(2), pp 478-489, 2015.
[2] Zutong Wang; Guo, Jiansheng; Zheng, Mingfa; Yang, Youshe. A new approach for uncertain multiobjective programming problem based on p-e principle[J]. Journal of Industrial and Management Optimization, 11(1), pp 13-26, 2015/1.
[3] Guo Jiansheng; Zutong Wang; Zheng Mingfa; Wang Ying. Uncertain multiobjective redundancy allocation problem of repairable systems based on artificial bee colony algorithm[J]. Chinese Journal of Aeronautics, 27(6), pp 1477-1487, 2015.
[4] Zutong Wang; Guo Jiansheng; Zheng Mingfa; Wang Ying. A new hybrid intelligent algorithm for fuzzy multiobjective programming problem based on credibility theory[J]. Mathematical Problems in Engineering, 12(1), 2014.
[5] Zheng Mingfa; Yi Yuan; Zutong Wang; Jeng-Fung Chen. Study on two-stage uncertain programming based on uncertainty theory[J]. Journal of Intelligent Manufacturing, 26(3), 2014.
[6] Zutong Wang; S. Mahmoud Taheri; Mingfa Zheng; Pengtao Zhang. Efficient solutions for uncertain random multiobjective programming problem[J]. Journal of Uncertain Systems, 8(4), pp 309-316, 2014.
[7] Zutong Wang; Guo Jiansheng; Mingfa Zheng; Qifang He. A hybrid algorithm for stochastic multiobjective programming problem[C]. Proceedings of the 8th International Conference on Evolutionary Multi-Criterion Optimization, 2015/03/29-2015/04/01, Guimarães, 2015/02/05.