T-spherical fuzzy power aggregation operators and their applications in multi-attribute decision making

Garg, Harish; Ullah, Kifayat; Mahmood, Tahir; Hassan, Nasruddin; Jan, Naeem

doi:10.1007/s12652-020-02600-z

Cited by 89 publications

(59 citation statements)

References 43 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…e survey objects involved construction workers in high-rise buildings, infrastructure construction workers, and ordinary residential construction workers, with a sample size of 275. eir research found that the most influential safety factor is the construction workers' safety awareness, followed by mutual communication, that is, the surrounding safety atmosphere, and put forward that the safety of construction enterprises can improve the safety management level of enterprises by improving the optimization and transformation of equipment, improving the work process and informing workers of potential safety hazards. e commonly used risk assessment methods include the expert assessment method, decision tree analysis method, Monte Carlo method, artificial neural network method, analytic hierarchy process, fuzzy comprehensive evaluation method, and so on [17][18][19][20][21][22][23]. Table 1 shows the comparison of various risk assessment methods.…”

Section: Selection Of Occupational Health and Safety Risk As-mentioning

confidence: 99%

Occupational Health and Safety Risk Assessment of Cruise Ship Construction Based on Improved Intuitionistic Fuzzy TOPSIS Decision Model

Xiang

Yang

Naseem

et al. 2021

Mathematical Problems in Engineering

View full text Add to dashboard Cite

The logistics of cruise ship construction are complex, with an extended period, many participants, and a stringent node control. The resulting occupational health and safety risks have more risks and uncertainties. If it is not identified and controlled, it will lead to low efficiency of logistics management in the construction stage, leading to chain breaking and going out of control. In response to this situation, this article proposes an improved intuitionistic fuzzy TOPSIS decision model to evaluate occupational health and safety risks in cruise ship construction. First, based on field research and interviews, risk sources and risk evaluation criteria are determined, and experts are given different weights based on the relative importance of decision-making experts. Then, to reduce the ambiguity and uncertainty of the risk source information, the intuitionistic fuzzy weighted arithmetic average operator is used to aggregate the judicial opinions of experts to obtain the intuitionistic fuzzy aggregate decision risk matrix. To improve the accuracy of risk assessment results, subjective weight and objective weight are comprehensively considered. The stepwise weight assessment ratio analysis (SWARA) method is used to determine the subjective weight of the evaluation criteria, and the normal distribution method is used to determine the objective weight of the evaluation criteria. According to the relative closeness coefficient of each risk source to the positive-ideal solution, the ranking of the risk sources is obtained. Finally, taking a cruise ship construction as an example, the risk sources of occupational health and safety are sorted, sensitivity analysis is carried out and compared with other methods, and the targeted risk control measures are put forward, which verifies the effectiveness and correctness of the improved intuitionistic fuzzy TOPSIS decision model.

show abstract

Section: Selection Of Occupational Health and Safety Risk As-mentioning

confidence: 99%

Occupational Health and Safety Risk Assessment of Cruise Ship Construction Based on Improved Intuitionistic Fuzzy TOPSIS Decision Model

Xiang

Yang

Naseem

et al. 2021

Mathematical Problems in Engineering

View full text Add to dashboard Cite

show abstract

“…Furthermore, they put forward an MADM method and gave the application of the method in a problem including evaluation of the performance of search and rescue robots. Garg et al [38] introduced power aggregation operators for the T-spherical fuzzy sets (T-SFSs). Ju et al [39] defined the T-SF interaction aggregation operators and based on these operators they developed TODIM method under T-SF environment.…”

Section: Introductionmentioning

confidence: 99%

Complex T-spherical fuzzy Dombi aggregation operators and their applications in multiple-criteria decision-making

Karaaslan

Dawood

2021

Complex Intell. Syst.

View full text Add to dashboard Cite

Complex fuzzy (CF) sets (CFSs) have a significant role in modelling the problems involving two-dimensional information. Recently, the extensions of CFSs have gained the attention of researchers studying decision-making methods. The complex T-spherical fuzzy set (CTSFS) is an extension of the CFSs introduced in the last times. In this paper, we introduce the Dombi operations on CTSFSs. Based on Dombi operators, we define some aggregation operators, including complex T-spherical Dombi fuzzy weighted arithmetic averaging (CTSDFWAA) operator, complex T-spherical Dombi fuzzy weighted geometric averaging (CTSDFWGA) operator, complex T-spherical Dombi fuzzy ordered weighted arithmetic averaging (CTSDFOWAA) operator, complex T-spherical Dombi fuzzy ordered weighted geometric averaging (CTSDFOWGA) operator, and we obtain some of their properties. In addition, we develop a multi-criteria decision-making (MCDM) method under the CTSF environment and present an algorithm for the proposed method. To show the process of the proposed method, we present an example related to diagnosing the COVID-19. Besides this, we present a sensitivity analysis to reveal the advantages and restrictions of our method.

show abstract

“…[ 47 ] preened a novel distance measure method and applied it in gold mines data. For more details, the reader may read [ 48 – 60 ].…”

Section: Introductionmentioning

confidence: 99%

Vague data analysis using neutrosophic Jarque–Bera test

Aslam

Sherwani

2021

PLoS ONE

View full text Add to dashboard Cite

In decision-making problems, the researchers’ application of parametric tests is the first choice due to their wide applicability, reliability, and validity. The common parametric tests require the validation of the normality assumption even for large sample sizes in some cases. Jarque-Bera test is among one of the methods available in the literature used to serve the purpose. One of the Jarque-Bera test restrictions is the computational limitations available only for the data in exact form. The operational procedure of the test is helpless for the interval-valued data. The interval-valued data generally occurs in situations under fuzzy logic or indeterminate state of the outcome variable and is often called neutrosophic form. The present research modifies the existing statistic of the Jarque-Bera test for the interval-valued data. The modified design and operational procedure of the newly proposed Jarque-Bera test will be useful to assess the normality of a data set under the neutrosophic environment. The proposed neutrosophic Jarque-Bera test is applied and compared with its existing form with the help of a numerical example of real gold mines data generated under the fuzzy environment. The study’s findings suggested that the proposed test is effective, informative, and suitable to be applied in indeterminacy compared to the existing Jarque–Bera test.

show abstract

T-spherical fuzzy power aggregation operators and their applications in multi-attribute decision making

Cited by 89 publications

References 43 publications

Occupational Health and Safety Risk Assessment of Cruise Ship Construction Based on Improved Intuitionistic Fuzzy TOPSIS Decision Model

Occupational Health and Safety Risk Assessment of Cruise Ship Construction Based on Improved Intuitionistic Fuzzy TOPSIS Decision Model

Complex T-spherical fuzzy Dombi aggregation operators and their applications in multiple-criteria decision-making

Vague data analysis using neutrosophic Jarque–Bera test

Contact Info

Product

Resources

About