V. Amirzadeh
Department of Statistics, Shahid Bahonar University Of Kerman, Kerman, Iran
[ 1 ] - Developing new methods to monitor phase II fuzzy linear profiles
In some quality control applications, the quality of a process or a product is described by the relationship between a response variable and one or more explanatory variables, called a profile. Moreover, in most practical applications, the qualitative characteristic of a product/service is vague, uncertain and linguistic and cannot be precisely stated. The purpose of this paper is to propose a ...
[ 2 ] - Fuzzy rules for fuzzy $overline{X}$ and $R$ control charts
Statistical process control ($SPC$), an internationally recognized technique for improving product quality and productivity, has been widely employed in various industries. $SPC$ relies on the use of control charts to monitor a manufacturing process for identifying causes of process variation and signaling the necessity of corrective action for the process. Fuzzy data exist ubiquitously in the ...
[ 3 ] - PROCESS CONTROL USING ASSUMED FUZZY TEST AND FUZZY ACCEPTANCE REGION
There are many situations for statistical process in which we have both random and vagueinformation. When uncertainty is due to fuzziness of information, fuzzy statistical control charts play animportant role in the monitoring process, because they simultaneously deal with both kinds of uncertainty.Dealing with fuzzy characteristics using classical methods may cause the loss of information and ...
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