Optimization in decision making process

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Guest Editors
Prof. Gang Kou
School of Business Administration, Southwestern University of Finance and Economics, China
Email: kougang@swufe.edu.cn

Prof. Daji Ergu
College of Electrical & Information Engineering, Southwest Minzu University, China
Email: ergudaji@163.com

Manuscript Topics
Decision making is the process of identifying, evaluating and choosing possible alternatives based on the values, preferences and beliefs of the decision-makers. Mathematical models and optimization methods are the critical components of decision making and thus they play extremely important roles in the decision making process. Complicated decision making problems could be formulated as mathematical models that can be optimized by off-the-shelf solvers. Although big data provides new ideas and evidences for decision makers to make scientifc decision making, it becomes more complicated than ever before in the era of social media. Therefore, it is necessary to develop new mathematical models and optimization methods so as to support decision makers to make scientific decisions in social media.

This special issue will cover a broad range of studies that make use of mathematical models and optimization methods to resolve decision problems in the social media. Topics of interest include (but not limited to) the following:

• Mathematical models for analyzing and evaluating the factors of possible alternatives in the social media.
• Construct novel optimizing algorithm to find suitable values for the influencing factors of decision problems in the social media.
• Adopting multi-criteria decision making methods and tools to model different types of decision problems under the social media.
• Using hybrid approaches to solve complex decision problems in the social media.

Paper Submission
All manuscripts will be peer-reviewed before their acceptance for publication.
The deadline for manuscript submission is December 31th, 2019.

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