Empirical evidences show that Japan-based companies moved their major operations to the USA due to the currency appreciation of Japanese Yen in 1980s. However, the multinational firms moving their operations abroad still face both the risk of foreign price and the risk of foreign exchange rate. According to the purchasing power parity (PPP) and interest rate parity (IRP), the foreign exchange r...

Green performance measure is vital for enterprises in making continuous improvements to maintain sustainable competitive advantages. Evaluation of green performance, however, is a challenging task due to the dependence complexity of the aspects, criteria, and the linguistic vagueness of some qualitative information and quantitative data together. To deal with this issue, this study proposes a n...

Scientists agree that the climate is changing due to human activities, but there is less agreement about the specific consequences and their timeline. Disagreement among climate projections is attributable to the complexity of climate models that differ in their structure, parameters, initial conditions, etc. We examine how different sources of uncertainty affect people’s interpretation of, and...

This paper approaches the problem of analysing control strategies in the case of fire in a building. The elements of this problem present behaviours of different nature and therefore the use of a hybrid modelling formalism is necessary. Petri nets are used to model the discrete aspects and differential equation systems are used for the continuous ones. In order to realistically evaluate the saf...

There have been proposals that primordial black hole remnants (BHRs) are the dark matter, but the idea is somewhat vague. Recently we argued that the generalized uncertainty principle (GUP) may prevent black holes from evaporating completely, in a similar way that the standard uncertainty principle prevents the hydrogen atom from collapsing. We further noted that the hybrid inflation model prov...

Lattice graphs are used as underlying data structures in many statistical processing systems, including natural language processing. Lattices compactly represent multiple possible outputs and are usually hidden from users. We present a novel visualization intended to reveal the uncertainty and variability inherent in statistically-derived lattice structures. Applications such as machine transla...

It is argued that firm cooperation in supply chain management can be classified as a hybrid governance structure in a new institutional sense. Using a key informant survey, exploratory data on transaction dimensions and supply chain management was gathered and analyzed. Findings suggest that the implementation of such cooperation is not a binary choice but rather a matter of varying degrees. Al...

Large quantities of metabolic profiling data are being gathered intensively in the rapidly growing field of Metabolomics. However, such data, in order to provide knowledge, must be machine-explored by robust methods that deal with complexity and uncertainty. Symbolic machine learning methods have the power to model structural and relational complexity while statistical machine learning ones pro...

The paper introduces model ensembles as a common framework for understanding qualitative differential equations (QDEs) and differential inclusions in a precise mathematical sense. It provides basic insights into the communalities and differences of both approaches to model under uncertainty. On this basis, a set of established methods for QDEs, some hybrid methods and standard quantitative meth...