In the second half of the past century, the theory of fuzzy sets arose as a new mathematical
concept in the field of information processing, and it rapidly advanced to becoming a well …

Purpose–To permit the system safety and reliability analysts to evaluate the criticality or risk
associated with item failure modes. Design/methodology/approach–The factors considered …

Purpose–To help the maintenance managers/decision makers to select a suitable
maintenance strategy for the components/parts associated with the system …

In this paper we propose a new approach to rank fuzzy numbers by metric distance. For
showing our method is a good ranking method, we give two examples to compare with other …

Automata are the prime example of general computational systems over discrete spaces.
The incorporation of fuzzy logic into automata theory resulted in fuzzy auotomata which can …

This chapter provides the reader with a presentation of preference modelling fundamental
notions as well as some recent results in this field. Preference modelling is an inevitable …

The objective of this study was to develop a methodology for estimating aggregative risk of
various environmental activities, pollution sources and routes in a given process. The rate of …

Ranking fuzzy numbers plays a very important role in decision-making problems. Existing
centroid-index ranking methods have some drawbacks. In this article, a new centroid-index …

Air pollution monitoring programs aim to monitor pollutants and their probable adverse
effects at various locations over concerned area. Either sensitivity of receptors/location or …

Based on the recent research developments of fuzzy number ranking, the paper extends the
centroid expectation approach and proposes a preference weighting function expectation …