Hierarchical fuzzy case based reasoning with multi-criteria decision making for financial applications

TLDR: This paper presents a framework for using a case-based reasoning system for stock analysis in financial market using a hierarchical structure for case representation and incorporates a multi-criteria decision-making algorithm which furnishes the most suitable solution with respect to the current market scenario.

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.