TY  - JOUR
AU  - Amirzadeh, V. 
AU  - Mashinchi, M. 
AU  - Yaghoobi, M.A. 
PY  - 2008
TI  - Construction of Control Charts Using Fuzzy Multinomial Quality
JF  - Journal of Mathematics and Statistics
VL  - 4
IS  - 1
DO  - 10.3844/jmssp.2008.26.31
UR  - https://thescipub.com/abstract/jmssp.2008.26.31
AB  - Control charts are the simplest type of on-line statistical process control techniques. One of the basic control charts is  P-chart. In classical  P-charts, each item classifies as either "nonconforming" or "conforming" to the specification with respect to the quality characteristic. In practice, one may classify each item in more than two categories such as "bad", "medium", "good", and "excellent". Based on this, we introduce a fuzzy multinomial chart ( FM-chart) for monitoring a multinomial process. Control limits of  FM-chart are obtained by using the multinomial distribution and the degrees of membership which one assigned to the distinct categories. The comparison of the  FM-chart and the  -chart based on a food production process illustrates that the  FM-chart leads to better results.