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Hierarchical Fuzzy Case Based Reasoning with Multi-criteria Decision Making for Financial Applications

  • Shanu Sushmita
  • Santanu Chaudhury
Part of the Lecture Notes in Computer Science book series (LNCS, volume 4815)

Abstract

This paper presents a framework for using a case-based reasoning system for stock analysis in financial market. The unique aspect of this paper is the use of a hierarchical structure for case representation. The system further incorporates a multi-criteria decision-making algorithm which furnishes the most suitable solution with respect to the current market scenario. Two important aspects of financial market are addressed in this paper: stock evaluation and investment planning. CBR and multi-criteria when used in conjunction offer an effective tool for evaluating goodness of a particular stock based on certain factors. The system also suggests a suitable investment plan based on the current assets of a particular investor. Stock evaluation maps to a flat case structure, but investment planning offers a scenario more suited for structuring the case into successive detailed layers of information related to different facets. This naturally leads to a hierarchical case structure.

Keywords

Similarity Score Mutual Fund Saving Account Investment Plan Case Structure 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2007

Authors and Affiliations

  • Shanu Sushmita
    • 1
  • Santanu Chaudhury
    • 1
  1. 1.Electrical Engineering Department, Indian Institute of Technology Delhi, New Delhi, 110016India

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