Attribute control charts are very useful nowadays for monitoring processes where the quality
characteristics cannot be measured in a continuous scale, which may be manufacturing …

The major contribution of fuzzy set theory lies in its capability of representing vague data.
Fuzzy logic offers a systematic base to deal with situations, which are ambiguous or not well …

This paper presents the construction of fuzzy control charts for a process with fuzzy
outcomes derived from the subjective quality ratings provided by a group of experts. The …

In crisp run control rules, usually it is stated that a process moves very sharply from in-control
condition to out-of-control act. This causes an increase in both false-alarm rate and control …

The statistical process control (SPC), an internationally recognized technique for improving
products quality and productivity, has been widely employed throughout various industries …

The two most significant sources of uncertainty are randomness and incomplete information.
In real systems, we wish to monitor processes in the presence of these two kinds of …

Control charts are the most popular Statistical Process Control (SPC) tools used to monitor
process changes. When a control chart produces an out-of-control signal, it means that the …

In this paper, we consider a nonparametric Shewhart chart for fuzzy data. We utilize the
fuzzy data without transforming them into a real-valued scalar (a representative value) …

Despite their capability in monitoring the variability of the processes, control charts are not
effective tools for identifying the real time of such changes. Identifying the real time of the …

This issue means a contribution of a well-known rather young journal from a scientific field
that, sometimes and especially at the beginning of the introduction of fuzzy theory, put it into …