Feature selection is a classical problem in machine learning, and how to design a method to select the features that can contain all the internal semantic correlation of the original feature set is a challenge. The authors present a general approach to select features via rough set based reduction, which can keep the selected features with the same semantic correlation as the original feature s...

This paper analyzes the impact of (quasi-) hyperbolic discounting on timing and numbers of births. Using a simple three period model it shows that without the ability to save and borrow hyperbolic discounters postpone births and give birth to less children than previously intended. In the presence of a (perfect) capital market additional qualifications are required to obtain similar results. In...

Inconsistency handling in expressive description logics is an important problem because inconsistency may naturally occur in an open world. In this paper, we first present the quasi-classical semantics for description logic SHIQ, which is based on quasi-classical logic. We show that this semantics can be used to deal with inconsistency and that it is reduced to the standard semantics when there...

Measuring inconsistency in knowledgebases has been recognized as an important problem in many research areas. Most of approaches proposed to measure inconsistency are based on paraconsistent semantics. However, very few of them provide efficient algorithms for implementation. In this paper, we first give the four-valued semantics for first-order logic and then propose an approach for measuring ...

This study proposes axioms for inconsistency indicators in pairwise comparisons. The new observation (by Szybowski), that “no PC submatrix may have a worse inconsistency indicator than the given PC matrix” is an essential simplification of the axiomatization. The goal of formulating axioms for all future definitions of new inconsistency indicators is difficult and as illusive as the inconsisten...

Using students’ predicted and unpredicted delays in midterm preparation as measures of time-inconsistency and self-awareness, this paper shows that time-inconsistent behavior is associated with inferior class performance. Most students showed some time-inconsistency. Most were at least partially aware of their time-inconsistency. Despite full awareness, the sophisticates still under-performed i...

We address the issue of quantitatively assessing the severity of inconsistencies in logic programs under the answer set semantics. While measuring inconsistency in classical logics has been investigated for some time now, taking the non-monotonicity of answer set semantics into account brings new challenges that have to be addressed by reasonable accounts of inconsistency measures. We investiga...

This paper proposes an analysis of the effects of consensus and preference aggregation on the consistency of pairwise comparisons. We define some boundary properties for the inconsistency of group preferences and investigate their relation with different inconsistency indices. Some results are presented on more general dependencies between properties of inconsistency indices and the satisfactio...

Multi-context systems are a formalism to interlink decentralized and heterogeneous knowledge based systems (contexts), which interact via possibly nonmonotonic bridge rules. Inconsistency is a major problem, as it renders such systems useless. In applications involving confidentiality or trust, it is likely that complete knowledge about all system parts is unavailable. To address inconsistency ...