CFP: IEEE SMC 2018 Special Session on Soft Computing: Optimization and Machine Learning with Subjective Criteria (Apr 14)

Paper Submission for C13

SMC2018:C13 submission site (external site)

Abstracts

Multiple real-world applications often involve subjective criteria and constraints that are as important, if not more, in facilitating successful decision making with humans. Soft computing techniques that use heuristic optimization algorithms as well as machine learning techniques can provide effective means for representing “soft” criteria and “soft” data into decision analysis frameworks and tools. This special session invites researchers and practitioners to present and discuss challenges as well as the state of the art advances in soft computing research that is progressing how the “human” subjectivity is incorporated into decision making methods and tools.

Session Chairs

• Meghna Babbar-Sebens (meghna@oregonstate.edu),
  Oregon State University, USA
• Snehasis Mukhopadhyay (smukhopa@cs.iupui.edu),
  Indiana University – Purdue University Indianapolis, USA