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FUZZY CONTROL CHARTS FOR VARIABLE AND ATTRIBUTE QUALITY CHARACTERISTICS | ||
| Iranian Journal of Fuzzy Systems | ||
| مقاله 4، دوره 3، شماره 1، تابستان 2006، صفحه 31-44 اصل مقاله (269.06 K) | ||
| نوع مقاله: Research Paper | ||
| شناسه دیجیتال (DOI): 10.22111/ijfs.2006.429 | ||
| نویسندگان | ||
MOHAMMAD HASSAN FAZEL ZARANDI  1؛ ISMAIL BURHAN TURKSEN2؛ ALI HUSSEINIZADEH KASHAN3
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| 1DEPARTMENT OF INDUSTRIAL ENGINEERING, AMIRKABIR UNIVERSITY OF TECHNOLOGY, TEHRAN, IRAN | ||
| 2DEPARTMENT OF MECHANICAL AND INDUSTRIAL ENGINEERING, UNIVERSITY OF TORONTO, TORONTO, ON, CANADA, M5S2H8 | ||
| 3DEPARTMENT OF INDUSTRIAL ENGINEERING, AMIRKABIR UNIVERSITY OF TECHNOLOGY, P. O. BOX: 15875-4413, TEHRAN, IRAN | ||
| چکیده | ||
| This paper addresses the design of control charts for both variable ( x chart) and attribute (u and c charts) quality characteristics, when there is uncertainty about the process parameters or sample data. Derived control charts are more flexible than the strict crisp case, due to the ability of encompassing the effects of vagueness in form of the degree of expert’s presumption. We extend the use of proposed fuzzy control charts in case of linguistic data using a developed defuzzifier index, which is based on the metric distance between fuzzy sets. | ||
| کلیدواژه‌ها | ||
| Process control؛ Control chart؛ Quality characteristics؛ Fuzzy numbers | ||
| مراجع | ||
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[1] D. Dubois and H. Prade, Theory and applications, Fuzzy Sets and Systems, Academic Press, New York, 1980. [2] F. Franceschini and D. Romano, Control chart for linguistic variables: a method based on the use of linguistic quantifiers, INT. J. PROD. RES., 37 (16 ) (1999), 3791–3801. [3] C. Kahraman, E. Tolga and Z. Ulukan, Justification of manufacturing technologies using fuzzy benefit/cost ratio analysis, International Journal of Production Economics, 1 (2000), 45–52. [4] C. Kahraman , E. Tolga and Z. Ulukan , Using triangular fuzzy numbers in the tests of control charts for unnatural patterns. In: Proc INRIA/IEEE Conf Emerging Technologies and Factory Automation, Vol 3, October, 10–13, Paris, France, (1995), 129–298. [5] M. Ma, A. Kandel and M. Friedman, A new approach for defuzzification, Fuzzy Sets and Systems, 111 (2000), 351–356. [6] W. A. Shewhart, Economic control of quality of manufactured product. Princeton, NJ: D. Van Nostrand, Inc., 1931. [7] J. D .T . Tannock, A fuzzy control charting method for individuals, INT. J. PROD. RES., 41 ( 5) (2003), 1017–1032. [8] J. H. Wang and T. Raz , On the construction of control charts using linguistic variables, INT. J. PROD. RES., 28 (1990), 477– 487. [9] L. R. Wang and H. Rowlands, A fuzzy logic application in SPC evaluation and control, IEEE Symposium on Emerging Technologies and Factory Automation, ETFA, 1 (1999), 679-684. [10] G. Yongting, Fuzzy quality and analysis on fuzzy probability, Fuzzy Sets and Systems, 83 (1996), 283-290. [11] L. A. Zadeh, Fuzzy sets, Information and Control, 8 (1965), 338-353. | ||
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