TY - JOUR
T1 - Design of fuzzy process control charts for linguistic and imprecise data
AU - Gülbay, Murat
AU - Kahraman, Cengiz
PY - 2006
Y1 - 2006
N2 - Even the first control chart was proposed during the 1920's by Shewhart, today they are still subject to new application areas that deserve further attention. If the quality-related characteristics cannot be represented in numerical form, such as characteristics for appearance, softness, color, etc., then control charts for attributes are used. Except for the special cases, fuzzy control charts are used for attributes control charts such as p or c charts. The theory of classical control charts requires all the data to be exactly known. The major contribution of fuzzy set theory is its capability of representing vague data. Fuzzy logic offers a systematic base in dealing with situations, which are ambiguous or not well defined. Fuzzy control charts based on the fuzzy transformation methods are reviewed and a design for the control charts in the case of vague data using fuzzy sets as real valued interpretations of uncertainty and vagueness is proposed.
AB - Even the first control chart was proposed during the 1920's by Shewhart, today they are still subject to new application areas that deserve further attention. If the quality-related characteristics cannot be represented in numerical form, such as characteristics for appearance, softness, color, etc., then control charts for attributes are used. Except for the special cases, fuzzy control charts are used for attributes control charts such as p or c charts. The theory of classical control charts requires all the data to be exactly known. The major contribution of fuzzy set theory is its capability of representing vague data. Fuzzy logic offers a systematic base in dealing with situations, which are ambiguous or not well defined. Fuzzy control charts based on the fuzzy transformation methods are reviewed and a design for the control charts in the case of vague data using fuzzy sets as real valued interpretations of uncertainty and vagueness is proposed.
KW - Fuzzy c-charts
KW - Fuzzy control charts
KW - Fuzzy p-charts
KW - Fuzzy process control
KW - Linguistic data
UR - http://www.scopus.com/inward/record.url?scp=33947397135&partnerID=8YFLogxK
U2 - 10.1007/3-540-33517-x_2
DO - 10.1007/3-540-33517-x_2
M3 - Article
AN - SCOPUS:33947397135
SN - 1434-9922
VL - 201
SP - 59
EP - 85
JO - Studies in Fuzziness and Soft Computing
JF - Studies in Fuzziness and Soft Computing
ER -