In many real world applications (even in banking), imprecise data is a matter of fact. However, classic database management systems provide little if any help in the management of imprecise data. We are applying methods from interval arithmetic, epsilon serializability, and other related areas to help the application designers in the management of naturally imprecise data. Our approach includes...

Fuzzy Description Logics (Fuzzy DLs) and fuzzy OWL have been proposed as languages able to represent and reason about imprecise and vague knowledge. Such extensions have gained considerable attention the last couple of years since on the one hand they are pivotal for applications that are inherently imprecise, like multimedia analysis and retrieval, geospatial applications and more, while on th...

  A data envelopment analysis (DEA) method can be regarded as a useful management tool to evaluate decision making units (DMUs) using multiple inputs and outputs. In some cases, we face with imprecise inputs and outputs, such as fuzzy or interval data, so the efficiency of DMUs will not be exact. Most researchers have been interested in getting efficiency and ranking DMUs recently. Models of th...

We analyze a model of communication with an extreme conflict of interest in which deceit is detectable with positive probability. The sender observes (possibly imprecise) information about his type, and can send any message to the receiver at no cost. If he lies---either by claiming more precise information or a false type---his message ends up incoherent with positive probability. In any infor...

Rare earth elements (REEs) are essential for high-techology industrial sectors. This paper presents research on material flow analysis (MFA) applied to REEs in the EU-27. Innovative aspects of this research pertain to (i) considering potential lithospheric stocks of REEs in the EU and (ii) accounting for incomplete and imprecise information in MFA data reconciliation. Results obtained to-date p...

When trying to introduce qualitative information into processes for performance arts, two major points must be considered: how to really deal with qualitative data and how to insert this into the processes. We propose to design a library for Max/MSP with the aim of offering a wide and full range of tools to be able to reason with all kinds of qualitative concepts. The idea is to implement insid...

Two imprecise individual risk models of insurance are presented and studied in this paper. The models use the beta-binomial and the negative binomial imprecise statistical models, which can be regarded as sets of the corresponding distributions of claims. The sets of distributions strongly depend on prior statistical information about claims and their use can give an advantage when we have litt...

The paper aims to present an application of constraint programming techniques for project portfolio scheduling taking into account the imprecision in activity duration and cost. Data specification in the form of discrete α-cuts allows combining distinct and imprecise data, and implementing a constraint satisfaction problem with the use of constraint programming. Moreover using α-cuts, optimisti...