Hybridizing principles of TOPSIS with case-based reasoning for business failure prediction
Abstract
Case-based reasoning (CBR) solves many real-world problems under the assumption that similar observations have similar outputs. As an implementation of this assumption and inspired by the technique for order performance by the similarity to ideal solution (TOPSIS), this paper proposes a new type of multiple criteria CBR method for binary business failure prediction (BFP) with similarities to positive and negative ideal cases (SPNIC). Assuming...
Paper Details
Title
Hybridizing principles of TOPSIS with case-based reasoning for business failure prediction
Published Date
Feb 1, 2011
Volume
38
Issue
2
Pages
409 - 419
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