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Monitoring the Variability in the Process Using Neutrosophic Statistical Interval Method

Monitoring the Variability in the Process Using Neutrosophic Statistical Interval Method PDF Author: Muhammad Aslam
Publisher: Infinite Study
ISBN:
Category : Mathematics
Languages : en
Pages : 10
Book Description
Existing variance control charts are designed under the assumptions that no uncertain, fuzzy and imprecise observations or parameters are in the population or the sample. Neutrosophic statistics, which is the extension of classical statistics, has been widely used when there is uncertainty in the data. In this paper, we will originally design S2 control chart under the neutrosophic interval methods.

Monitoring the Variability in the Process Using Neutrosophic Statistical Interval Method

Monitoring the Variability in the Process Using Neutrosophic Statistical Interval Method PDF Author: Muhammad Aslam
Publisher: Infinite Study
ISBN:
Category : Mathematics
Languages : en
Pages : 10
Book Description
Existing variance control charts are designed under the assumptions that no uncertain, fuzzy and imprecise observations or parameters are in the population or the sample. Neutrosophic statistics, which is the extension of classical statistics, has been widely used when there is uncertainty in the data. In this paper, we will originally design S2 control chart under the neutrosophic interval methods.

Monitoring the Variability in the Process Using Neutrosophic Statistical Interval Method

Monitoring the Variability in the Process Using Neutrosophic Statistical Interval Method PDF Author: Muhammad Aslam
Publisher: Infinite Study
ISBN:
Category : Mathematics
Languages : en
Pages : 10
Book Description
Existing variance control charts are designed under the assumptions that no uncertain, fuzzy and imprecise observations or parameters are in the population or the sample. Neutrosophic statistics, which is the extension of classical statistics, has been widely used when there is uncertainty in the data.

Control Chart for Variance Using Repetitive Sampling Under Neutrosophic Statistical Interval System

Control Chart for Variance Using Repetitive Sampling Under Neutrosophic Statistical Interval System PDF Author: Muhammad Aslam
Publisher: Infinite Study
ISBN:
Category : Mathematics
Languages : en
Pages : 10
Book Description
In this paper, a control chart for variance using the repetitive sampling under the neutrosophic statistics is proposed. The proposed control chart can be applied for monitoring the variability in the process when some observations/parameters are unclear and indeterminate. The operational procedure of the proposed control chart and the necessary measures are given for the practical use of the proposed control chart. The control chart parameters are determined through the algorithm under neutrosophic statistical interval method. The efficiency of the proposed control chart is compared with the existing control chart in neutrosophic average run length. From the simulation study and a real example, it is concluded that the proposed control chart is more efficient in detecting a shift in the process and more adequate, effective, informative, and exible under the uncertainty environment.

Monitoring the Process Based on Belief Statistic for Neutrosophic Gamma Distributed Product

Monitoring the Process Based on Belief Statistic for Neutrosophic Gamma Distributed Product PDF Author: Muhammad Aslam
Publisher: Infinite Study
ISBN:
Category : Mathematics
Languages : en
Pages : 17
Book Description
In this paper, we developed a control chart methodology for the monitoring the mean time between two events using the belief estimator under the neutrosophic gamma distribution. The proposed control chart coefficients and the neutrosophic average run length (NARL) have been determined using different process settings. The performance of the proposed chart is compared with the control chart under classical statistics in terms of NARL using the simulation data and real example. From comparisons, it is concluded that the proposed chart is efficient, effective and adequate to be used under uncertainty environment than the chart under classical statistics.

Advances in Condition Monitoring, Optimization and Control for Complex Industrial Processes

Advances in Condition Monitoring, Optimization and Control for Complex Industrial Processes PDF Author: Zhiwei Gao
Publisher: MDPI
ISBN: 3036506888
Category : Science
Languages : en
Pages : 514
Book Description
The book documents 25 papers collected from the Special Issue โ€œAdvances in Condition Monitoring, Optimization and Control for Complex Industrial Processesโ€, highlighting recent research trends in complex industrial processes. The book aims to stimulate the research field and be of benefit to readers from both academic institutes and industrial sectors.

A New X-Bar Control Chart for Using Neutrosophic ExponentiallyWeighted Moving Average

A New X-Bar Control Chart for Using Neutrosophic ExponentiallyWeighted Moving Average PDF Author: Muhammad Aslam
Publisher: Infinite Study
ISBN:
Category : Mathematics
Languages : en
Pages : 13
Book Description
The existing Shewhart X-bar control charts using the exponentially weighted moving average statistic are designed under the assumption that all observations are precise, determined, and known. In practice, it may be possible that the sample or the population observations are imprecise or fuzzy. In this paper, we present the designing of the X-bar control chart under the symmetry property of normal distribution using the neutrosophic exponentially weighted moving average statistics. We will first introduce the neutrosophic exponentially weighted moving average statistic, and then use it to design the X-bar control chart for monitoring the data under an uncertainty environment. We will determine the neutrosophic average run length using the neutrosophic Monte Carlo simulation. The eciency of the proposed plan will be compared with existing control charts.

Design of ๐‘บ๐‘ต ๐Ÿ โˆ’ ๐‘ต๐‘ฌ๐‘พ๐‘ด๐‘จ Control Chart for Monitoring Process having Indeterminate Production Data

Design of ๐‘บ๐‘ต ๐Ÿ โˆ’ ๐‘ต๐‘ฌ๐‘พ๐‘ด๐‘จ Control Chart for Monitoring Process having Indeterminate Production Data PDF Author: Muhammad Aslam
Publisher: Infinite Study
ISBN:
Category : Mathematics
Languages : en
Pages : 15
Book Description
The existing charts for monitoring the variance are designed under the assumption that all production data must consist of exact, precise, and determined observations. This paper presents the design of a new neutrosophic exponentially weighted moving average (NEWMA) combining with a neutrosophic logarithmic transformation chart for monitoring the variance having neutrosophic numbers. The computation of the neutrosophic control chart parameters is done through the neutrosophic Monte Carlo simulation (NMCS). The performance of the proposed chart is discussed with the existing charts.

The Encyclopedia of Neutrosophic Researchers, 3rd volume

The Encyclopedia of Neutrosophic Researchers, 3rd volume PDF Author: Florentin Smarandache
Publisher: Infinite Study
ISBN:
Category : Mathematics
Languages : en
Pages : 144
Book Description
This is the third volume of the Encyclopedia of Neutrosophic Researchers, edited from materials offered by the authors who responded to the editorโ€™s invitation. The authors are listed alphabetically. The introduction contains a short history of neutrosophics, together with links to the main papers and books.

Process Monitoring for Gamma Distributed Product under Neutrosophic Statistics Using Resampling Scheme

Process Monitoring for Gamma Distributed Product under Neutrosophic Statistics Using Resampling Scheme PDF Author: Abdullah M. Almarashi
Publisher: Infinite Study
ISBN:
Category : Mathematics
Languages : en
Pages : 12
Book Description
In this article, a repetitive sampling control chart for the gamma distribution under the indeterminate environment has been presented. The control chart coefficients, probability of in-control, probability of out-of-control, and average run lengths have been determined under the assumption of the symmetrical property of the normal distribution using the neutrosophic interval method.

Attribute Control Chart Using the Repetitive Sampling under Neutrosophic System

Attribute Control Chart Using the Repetitive Sampling under Neutrosophic System PDF Author: Muhammad Aslam
Publisher: Infinite Study
ISBN:
Category : Mathematics
Languages : en
Pages : 17
Book Description
In this manuscript, an attribute control chart using the repetitive sampling under the neutrosophic statistics system is discussed. The necessary measures of the proposed control chart under the neutrosophic statistics system are given. The control chart coefficients of the proposed control chart are determined using an algorithm under neutrosophic statistics system. The efficiency of the proposed control chart in terms of neutrosophic average run length (NARL) is discussed over the existing control chart under neutrosophic statistics system. From the comparison studies, it is found that the proposed control chart under neutrosophic statistics system is more sensitive in detecting a shift in the process as compared to existing control chart under neutrosophic statistics system. An industrial application of the proposed control chart under neutrosophic statistics system is also given.