Ordinal regression

About: Ordinal regression is a research topic. Over the lifetime, 1879 publications have been published within this topic receiving 65431 citations.

Robust Ordinal Regression for dominance-based Rough Set Approach under uncertainty

Abstract: We consider decision under uncertainty where preference information provided by a Decision Maker (DM) is a classification of some reference acts, relatively well-known to the DM, described by outcomes to be gained with given probabilities. We structure the classification data using a variant of the Dominance-based Rough Set Approach. Then, we induce from this data all possible minimal-cover sets of rules which correspond to all instances of the preference model compatible with the input preference information. We apply these instances on a set of unseen acts, and draw robust conclusions about their quality using the Robust Ordinal Regression paradigm. Specifically, for each act we derive the necessary and possible assignments specifying the range of classes to which the act is assigned by all or at least one compatible set of rules, respectively, as well as class acceptability indices. The whole approach is illustrated by a didactic example.

Important factors which predict entrepreneur’s perception in business risk

Abstract: This paper seeks to examine the role of factors originated from outside (economic, political, competitive environment and relationships) and within (entrepreneur’s attitude) the organization on the business risk perceived by entrepreneurs. To test the hypothetical relationships, an ordinal regression with two link functions was applied on an original dataset of 641 small and medium-sized enterprises (SMEs) operating in Slovakia and Czech Republic. The analysis revealed that not only economic factors can predict business risk, but along with them are political and competitive environments, relationship with supply chain actors and entrepreneur’s attitude. Consistent with prior research, it is found that an unstable economic environment leads the business to expose themselves to business risk. Also, a friendly regulation framework and quality education contribute significantly to reducing the level of risk. The research triggers the interest of policymakers who design policies aimed at improving the business environment by reducing the level of risk that firms face in doing business. Also, this paper is useful for managerial perspective, since entrepreneur attitude was found to be a predictor of business risk.

Generalized Gini polarization indices for an ordinal dimension of human well-being

Abstract: type="main" xml:lang="en"> This paper suggests a family of generalized Gini indices of polarization that can be applied to dimensions of human well-being with ordinal significance such as self-assessed health data and literacy. We investigate several properties of this general index and characterize it axiomatically. We also look at a quasi-ordering induced by the generalized Gini indices for ranking alternative distributions of an ordinally measurable dimension. Implications of some of the axioms are also investigated.