Generalized Bags, Bag Relations, and Applications to Data Analysis and Decision Making

  • Authors:
  • Sadaaki Miyamoto

  • Affiliations:
  • Department of Risk Engineering Faculty of Systems and Information Engineering, University of Tsukuba, Japan 305-8573

  • Venue:
  • MDAI '09 Proceedings of the 6th International Conference on Modeling Decisions for Artificial Intelligence
  • Year:
  • 2009

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Abstract

Bags alias multisets have long been studied in computer science, but recently more attention is paid on bags. In this paper we consider generalized bags which include real-valued bags, fuzzy bags, and a region-valued bags. Basic definitions as well as their properties are established; advanced operations such as s -norms, t -norms, and their duality are also studied. Moreover bag relations are discussed which has max-plus and max-min algebras as special cases. The reason why generalized bags are useful in applications is described. As two applications, bag-based data analysis and decision making based on convex function optimization related to bags are discussed.