Single-Valued Neutrosophic Set Correlation Coefficient and Its Application in Fault Diagnosis

Iryna, Shchur; Zhong, Yu; Jiang, Wen; Deng, Xinyang; Geng, Jie

doi:10.3390/sym12081371

Cited by 5 publications

(3 citation statements)

References 46 publications

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“…Overall Equipment Effectiveness (OEE) and the OLE are simple and practical production management tool, which has been widely used (Iryna et al, 2020). OLE has become a management tool that is designed to better understand the effects workforce performance has on overall manufacturing performance (Karbasian & Rostamkhani, 2020).…”

Section: Introductionmentioning

confidence: 99%

Minimizing Product Defects Based on Labor Performance using Linear Regression and Six Sigma Approach

Nurprihatin,

Ayu,

Rembulan

et al. 2023

Management and Production Engineering Review

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The objective of this research is to minimize product defects based on labor performance and prove the hypothesis on how labor performance affects the quality of a product through a scientific calculation using Overall Labor Effectiveness (OLE). The primary data is obtained by interviewing the supervisor and labor directly. For secondary data is obtained from the company, such as labor working time, machine scheduled downtime, total production, and defective products. The approach to extract the data is using OLE and the continued regression method. Furthermore, it proceeds to Six Sigma using the DMAIC approach since the results show a significant correlation. The result from Failure Mode and Effects Analysis (FMEA) shows four of six potential failures caused by product defects are coming from labor. To prevent failure mode, it is recommended to have the regular machine checked by labor, check the temperature of the machine, and provide Standard Operating Procedures.

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Section: Introductionmentioning

confidence: 99%

Minimizing Product Defects Based on Labor Performance using Linear Regression and Six Sigma Approach

Nurprihatin,

Ayu,

Rembulan

et al. 2023

Management and Production Engineering Review

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“…In [11], the authors put forward the COPRAS method for SVNS. For more details about the study on NSs, we refer the readers to [12][13][14][15][16][17] and their corresponding references.…”

Section: Introductionmentioning

confidence: 99%

Decision-Making Approach Based on Generalized Aggregation Operators with Complex Single-Valued Neutrosophic Hesitant Fuzzy Set Information

Garg

Ali

Hezam

et al. 2022

Mathematical Problems in Engineering

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A strategic decision-making technique can help the decision maker to accomplish and analyze the information in an efficient manner. However, in our real life, an uncertainty will play a dominant role during the information collection phase. To handle such uncertainties in the data, we present a decision-making algorithm under the single-valued neutrosophic (SVN) environment. The SVN is a powerful way to deal the information in terms of three degrees, namely, “truth,” “falsity,” and “indeterminacy,” which all are considered independent. The main objective of this study is divided into three folds. In the first fold, we state the novel concept of complex SVN hesitant fuzzy (CSVNHF) set by incorporating the features of the SVN, complex numbers, and the hesitant element. The various fundamental and algebraic laws of the proposed CSVNHF set are described in details. The second fold is to state the various aggregation operators to obtain the aggregated values of the considered CSVNHF information. For this, we stated several generalized averaging operators, namely, CSVNHF generalized weighted averaging, ordered weighted average, and hybrid average. The various properties of these operators are also stated. Finally, we discuss a multiattribute decision-making (MADM) algorithm based on the proposed operators to address the problems under the CSVNHF environment. A numerical example is given to illustrate the work and compare the results with the existing studies’ results. Also, the sensitivity analysis and advantages of the stated algorithm are given in the work to verify and strengthen the study.

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“…Garg and Arora [43] introduced the correlation measures on intuitionistic fuzzy soft sets and constructed the TOPSIS technique on developed correlation measures. In Iryna et al's work [44], an algorithm has been proposed to handle uncertainty in fault diagnoses by using single-valued neutrosophic sets. Faruk [45] established CC between possibility NSS and proved some properties.…”

Section: Introductionmentioning

confidence: 99%

Algorithms for a Generalized Multipolar Neutrosophic Soft Set with Information Measures to Solve Medical Diagnoses and Decision-Making Problems

Zulqarnain

Garg

Siddique

et al. 2021

Journal of Mathematics

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The aim of this paper is to propose the generalized version of the multipolar neutrosophic soft set with operations and basic properties. Here, we define the AND, OR, Truth-Favorite, and False-Favorite operators along with their properties. Also, we define the necessity and possibility of operations for them. Later on, to extend it to solve the decision-making problems, we define some information measures such as distance, similarity, and correlation coefficient for the generalized multipolar neutrosophic soft set. Several desirable properties and their relationship between them are derived. Finally, based on these information measures, a decision-making algorithm is stated under the neutrosophic environment to tackle the uncertain and vague information. The applicability of the proposed algorithm is demonstrated through a case study of the medical-diagnosis and the decision-making problems. A comparative analysis with several existing studies reveals the effectiveness of the approach.

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Single-Valued Neutrosophic Set Correlation Coefficient and Its Application in Fault Diagnosis

Cited by 5 publications

References 46 publications

Minimizing Product Defects Based on Labor Performance using Linear Regression and Six Sigma Approach

Minimizing Product Defects Based on Labor Performance using Linear Regression and Six Sigma Approach

Decision-Making Approach Based on Generalized Aggregation Operators with Complex Single-Valued Neutrosophic Hesitant Fuzzy Set Information

Algorithms for a Generalized Multipolar Neutrosophic Soft Set with Information Measures to Solve Medical Diagnoses and Decision-Making Problems

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