Results 231 to 240 of about 41,221 (283)

TiSMeD: A tissue-specific methylation and expression database for biomarker and translational applications. [PDF]

Mol Ther Nucleic Acids
Cheng J, Lin Z, Wu L, Li Q, Yin H, Wang H, Chen H, Chen X, Ji ZL.   +8 more
europepmc   +1 more source

Antifungal activity of oily core PEGylated PLGA nanocapsules loaded with Penicillium oxalicum fungal extract: in vitro, in vivo, and in silico study. [PDF]

Microb Cell Fact
Elekhnawy E, Abdelkader DH, Eliwa D, Ibrahim S, Shaldam MA, Negm WA.   +5 more
europepmc   +1 more source

Application and development of artificial intelligence and computer technology in the field of intelligent robots. [PDF]

Sci Rep
Zhang J.
europepmc   +1 more source

A methodological design and an empirical study for assessing the maturity of an UASR based on the AHP-EWM and the FSEM fusion model. [PDF]

Sci Rep
Guo C, Tang B.
europepmc   +1 more source

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Fuzzy process control: construction of control charts with fuzzy numbers

Fuzzy Sets and Systems, 2005
This paper presents the construction of fuzzy control charts for a process with fuzzy outcomes derived from the subjective quality ratings provided by a group of experts. The proposed fuzzy process control (FPC) methodology comprises an off-line stage and an on-line stage.
Chi-Bin Cheng
openaire   +3 more sources

On fuzzy and probabilistic control charts

International Journal of Production Research, 2002
In this article, different procedures of constructing control charts for linguistic data, based on fuzzy and probability theory, are discussed. Three sets of membership functions, with different degrees of fuzziness, are proposed for fuzzy approaches.
Hassen Taleb, Mohamed Limam
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An alternative approach to fuzzy control charts: Direct fuzzy approach

Information Sciences, 2007
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Gülbay, Murat, Kahraman, Cengiz
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Process capability analyses based on fuzzy measurements and fuzzy control charts

Expert Systems with Applications, 2011
Process performance can be analyzed by using process capability indices (PCIs), which are summary statistics to depict the process location and dispersion successfully. Although they are very usable statistics, they have some limitations which prevent a deep and flexible analysis because of the crisp measurements and specification limits (SLs).
Kaya, Ihsan, Kahraman, Cengiz
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Development of fuzzy process control charts and fuzzy unnatural pattern analyses

Computational Statistics & Data Analysis, 2006
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Gülbay, Murat, Kahraman, Cengiz
openaire   +4 more sources