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

  • Sadaaki Miyamoto
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 5861)

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.

Keywords

Generalized bag s-norm bag relation data analysis decision making convex function 

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Copyright information

© Springer-Verlag Berlin Heidelberg 2009

Authors and Affiliations

  • Sadaaki Miyamoto
    • 1
  1. 1.Department of Risk Engineering Faculty of Systems and Information EngineeringUniversity of TsukubaJapan

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