Discrete event computer simulation is one of the most widely used modeling tools for production systems. Object-oriented programming is revolutionizing computer simulation software packages. A fuzzy set approach for multi-criteria selection of object-oriented simulation software for analysis of production system is developed in this paper. The approach uses fuzzy set theory and algebraic operat...

In this paper, we propose a methodology integrating discrete event simulation based on the fuzzy set theory to solve the scheduling planning problem for construction operations in a new semiconductor building. Unlike traditional construction scheduling approaches that only cope with quantitative data, fuzzy set-based methods provide proper instruments for expressing planners’ linguistic terms t...

Risk management is becoming increasingly important for railway companies in order to safeguard their passengers and employees while improving safety and reducing maintenance costs. However, in many circumstances, the application of probabilistic risk analysis tools may not give satisfactory results because the risk data are incomplete or there is a high level of uncertainty involved in the risk...

In our recent paper we have established close relationships between state reduction of a fuzzy recognizer and resolution of a particular system of fuzzy relation equations. In that paper we have also studied reductions by means of those solutions which are fuzzy equivalences. In this paper we will see that in some cases better reductions can be obtained using the solutions of this system that a...

This thesis develops measures that enable comparisons of subjective information that is represented through fuzzy sets. Many applications rely on information that is subjective and imprecise due to varying contexts and so fuzzy sets were developed as a method of modelling uncertain data. However, making relative comparisons between data-driven fuzzy sets can be challenging. For example, when da...