A novel approach to risk assessment for occupational health and safety using Pythagorean fuzzy AHP &amp; fuzzy inference system

İ̇lbahar, Esra; Karaşan, Ali; Çebı, Selçuk; Kahraman, Cengiz

doi:10.1016/j.ssci.2017.10.025

Cited by 449 publications

(170 citation statements)

References 36 publications

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“…Differently from the intuitionistic fuzzy sets, the entirety of membership and non-membership degrees may exceed 1 but the totality of squares cannot in Pythagorean fuzzy sets, (Ilbahar et al 2018;Zeng et al 2015;Zhang and Xu, 2014;Mete, 2018). This event is shown below in Definition (1).…”

Section: Pythagorean Fuzzy Setsmentioning

confidence: 98%

“…In many cases it expresses the uncertainty of real world problems more clearly (Oz et. al., 2018;Ilbahar et al, 2018;Gul, 2018;Ak and Gul, 2018;Yucesan and Kahraman, 2019).…”

Section: Pythagorean Fuzzy Setsmentioning

confidence: 99%

“…Step 1: The formula of compromised pairwise comparison matrix ( ) ik mxm A a = depends on linguistic assessment of experts using a ruler projected by (Ilbahar et al 2018) in Table 1. Step 2: The difference matrices…”

Section: Pfahp and Related Linguistic Termsmentioning

confidence: 99%

“…In this study, we benefited from two linguistic scales. First, we use the scale proposed by Ilbahar et al (2018) in evaluating suppliers according to the main and the sub-criteria using pairwise comparison of PFAHP. That scale is based on Pythagorean fuzzy numbers (Table 1).…”

Section: Linguistic Scales and Their Corresponding Fuzzy Numbersmentioning

confidence: 99%

See 3 more Smart Citations

Green Supplier selection for plastic industry using integrated model based on Pythagorean fuzzy AHP and fuzzy TOPSIS

Yücesan

2019

isarder

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show abstract

Section: Pythagorean Fuzzy Setsmentioning

confidence: 98%

“…In many cases it expresses the uncertainty of real world problems more clearly (Oz et. al., 2018;Ilbahar et al, 2018;Gul, 2018;Ak and Gul, 2018;Yucesan and Kahraman, 2019).…”

Section: Pythagorean Fuzzy Setsmentioning

confidence: 99%

Section: Pfahp and Related Linguistic Termsmentioning

confidence: 99%

Section: Linguistic Scales and Their Corresponding Fuzzy Numbersmentioning

confidence: 99%

See 2 more Smart Citations

Green Supplier selection for plastic industry using integrated model based on Pythagorean fuzzy AHP and fuzzy TOPSIS

Yücesan

2019

isarder

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show abstract

“…IFS and PFS have good use in solving practical multiple-attribute decision making (MADM) problems, and great achievements have been achieved in academia. [5][6][7][8][9][10][11][12][13][14][15][16][17] Recently, Yager 18 further enlarged the space of the belief of the decision makers (DMs) about membership degree and nonmembership degree in PFS, and proposed the definition of q-rung orthopair fuzzy sets (q-ROFS), in which the membership degree μ and the nonmembership degree ν satisfy the condition ≤ μ ν + 1 q q , ≥ q 1. Obviously, the q-ROFS accommodates more uncertainty than the PFSs and the intuitionistic fuzzy set, and its application is more extensive than that of the PFSs and the intuitionistic fuzzy set.…”

Section: Introductionmentioning

confidence: 99%

Some interval‐valued q‐rung orthopair weighted averaging operators and their applications to multiple‐attribute decision making

Luo

et al. 2019

Int J Intell Syst

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Q‐rung orthopair fuzzy sets (q‐ROFSs), initially proposed by Yager, are a new way to reflect uncertain information. The existing intuitionistic fuzzy sets (IFSs) and Pythagorean fuzzy sets are special cases of the q‐ROFSs. However, due to insufficiency in available information, it is difficult for decision makers to exactly express the membership and nonmembership degrees by crisp numbers, and interval membership degree and interval nonmembership degree are good choices. In this paper, we propose the concept of interval‐valued q‐rung orthopair fuzzy set (IVq‐ROFS) based on the ideas of q‐ROFSs and some operational laws of q‐rung orthopair fuzzy numbers (q‐ROFNs). Then, some interval‐valued q‐rung orthopair weighted averaging operators are presented based on the given operational laws of q‐ROFNs. Further, based on these operators, we develop a novel approach to solve multiple‐attribute decision making (MADM) problems under interval‐valued q‐rung orthopair fuzzy environment. Finally, a numerical example is provided to illustrate the application of the proposed method, and the sensitivity analysis is further carried out for the parameters.

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Simultaneous assessment of health, safety, and environmental risks using William Fine and FMEA methods based on OHSAS 18001: 2007 standard in the Alborz tunnel, Iran

Zahed

Seidi

Salehi³

et al. 2023

Geomechanics and Tunnelling

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In this study, the critical risks and their effects on each other for the Alborz tunnel construction project, which is known as the longest road tunnel in the Middle East, have been evaluated on a case‐by‐case basis. In addition to covering all safety hazards in important tunnel drilling operations using the failure modes and effect analysis (FMEA) method, which is one of the risk assessment methods for operations and has been widely used in manufacturing, drilling, and tunneling industries, health hazards that affect employees and can cause a variety of job diseases have been studied and in order to identify, evaluate, and quantify the results, the William Fine method has been implemented. Also, all the risks have been identified and evaluated within the framework of OHSAS 18001 standard which was presented in 1999 due to the lack of an international standard regarding occupational health and safety and its last revision was done in 2007. Based on the research results, according to FMEA method, a total of 46 critical risks, 26 very high risks, 22 high risks, 8 medium risks, 34 low risks, 29 very low risks, and 8 insignificant risks in the field of safety have been identified and evaluated. In the field of job health, 165 high‐level risks, 28 medium‐level risks, and 57 low‐level risks were assessed and finally in the environmental field, 7 high‐level risks and 1 risk for each of the intermediate and low level have been inferred.

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A novel approach to risk assessment for occupational health and safety using Pythagorean fuzzy AHP & fuzzy inference system

Cited by 449 publications

References 36 publications

Green Supplier selection for plastic industry using integrated model based on Pythagorean fuzzy AHP and fuzzy TOPSIS

Green Supplier selection for plastic industry using integrated model based on Pythagorean fuzzy AHP and fuzzy TOPSIS

Some interval‐valued q‐rung orthopair weighted averaging operators and their applications to multiple‐attribute decision making

Simultaneous assessment of health, safety, and environmental risks using William Fine and FMEA methods based on OHSAS 18001: 2007 standard in the Alborz tunnel, Iran

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