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1 – 1 of 1Hatice Ercan Teksen and Ahmet Sermet Anagun
The control charts are used in many production areas because they give an idea about the quality characteristic(s) of a product. The control limits are calculated and the data are…
Abstract
Purpose
The control charts are used in many production areas because they give an idea about the quality characteristic(s) of a product. The control limits are calculated and the data are examined whether the quality characteristic(s) is/are within these limits. At this point, it may be confusing to comment, especially if it is slightly below or above the limit values. In order to overcome this situation, it is suitable to use fuzzy numbers instead of crisp numbers. The purpose of this paper is to demonstrate how to create control limits of
Design/methodology/approach
There are methods in the literature, such as defuzzification, distance, ranking and likelihood, which may be applicable for interval type-2 fuzzy set. This study is the first that these methods are adapted to the
Findings
It is demonstrated that the methods – such as defuzzification, distance, ranking and likelihood for interval type-2 fuzzy sets – could be applied to the
Research limitations/implications
Based on the related literature, research works on interval type-2 fuzzy control charts seem to be very limited. This study shows the applicability of different interval type-2 fuzzy methods on
Originality/value
The unique contribution of this research to the relevant literature is that interval type-2 fuzzy numbers for quantitative control charts, such as
Details