This paper has three main objectives: a) to identify the criteria that multinational corporations (MNCs) consider important when they assess the locations for transhipment and deep re-export global logistics hubs (GLHs); b) to decide the ranking order of the two types of GLH in Pacific-Asian...

A rough set theory model utilising fuzzy sets was developed to investigate artificial reef placement based on fish ecosystem components. The model incorporates consumption estimates and presumed foraging behavior to provide a rule-based approach to determine how far apart artificial reefs must...

Yield prediction is a very important task to a semiconductor manufacturing factory. However, it is difficult because yield improvement is a learning process, and the uncertainty and variation inherent in the learning process are not easy to consider. In addition, the competition in the...

This paper offers a new approach to building fuzzy consideration sets, a well-established practical tool for marketers. Previous studies have been based on the standard (McFadden) model of consumer choice. In practical terms their approach is a variant of logistic regression, with fuzzy...

Purpose – The purpose of this paper is to propose a new analytical approach in human thought computation with an application to the child language acquisition research. Design/methodology/approach – Certain fuzzy statistical concepts, such as fuzzy samples, fuzzy mode, fuzzy category test,...