A random arrival rule for NTU-bankruptcy problems

The Constrained Equal Awards Rule for Bankruptcy Problems with a Priori Unions

A fuzzy rule based learning method for corporate bankruptcy prediction

Corporate bankruptcy prediction is a usual problem found in financing and management. In this paper a new approach is proposed based on Machine Learning and Fuzzy Logic. Our attempt, finally, results in a useful fuzzy system, which can be used in order to classify firms into efficient and inefficient ones.

The rights egalitarian solution for NTU sharing problems

The purpose of this paper is to extend the Rights Egalitarian solution (Herrero, Maschler & Villar, 1999) to the context of nontransferable utility sharing problems. Such an extension is not unique. Depending on the kind of properties we want to preserve we obtain two di¤erent generalizations. One is the "proportional solution", that corresponds to the Kalai-Smorodinsky solution for surplus sha...

A Heuristic Model for Predicting Bankruptcy

Bankruptcy prediction is one of the major business classification problems. The main purpose of this study is to investigate Kohonen self-organizing feature map in term of performance accuracy in the area of bankruptcy prediction.  A sample of 108 firms listed in Tehran Stock Exchange is used for the study. Our results confirm that Kohonen network is a robust model for predicting bankruptcy in ...

Proportionality, Equality, and Duality in Bankruptcy Problems with Nontransferable Utility

This paper analyzes bankruptcy problems with nontransferable utility as a generalization of bankruptcy problems with monetary estate and claims. Following the classical axiomatic theory of bankruptcy, we formulate some appropriate properties for NTU-bankruptcy rules and study their implications. We explore duality of bankruptcy rules and we derive several characterizations of the generalized pr...