Risk Assessment and Ranking of Metals Using FDAHP and TOPSIS

Hayaty, M.; Mohammadi, Mohammad Reza Tavakoli; Rezaei, Ali; Shayestehfar, M R

doi:10.1007/s10230-014-0263-y

Cited by 28 publications

(12 citation statements)

References 18 publications

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“…e proposed G-AHP is inspired by the fuzzy Delphi method in [84,85]. e main characteristics of the proposed G-AHP method compared to other similar grey AHP methods in the literature are as follows: (1) no whitenisation function is used; all the calculations from the beginning to the end are in grey numbers, and in accordance with basic grey operations rules (Section 3.3).…”

Section: The G-ahp Methodsmentioning

confidence: 99%

A Hybrid Neutrosophic-Grey Analytic Hierarchy Process Method: Decision-Making Modelling in Uncertain Environments

Vafadarnikjoo

Scherz

2021

Mathematical Problems in Engineering

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The analytic hierarchy process (AHP) is recognised as one of the most commonly applied methods in the multiple attribute decision-making (MADM) literature. In the AHP, encompassing uncertainty feature necessitates using suitable uncertainty theories, since dealing efficiently with uncertainty in subjective judgements is of great importance in real-world decision-making problems. The neutrosophic set (NS) theory and grey systems are two reliable uncertainty theories which can bring considerable benefits to uncertain decision-making. The aim of this study is to improve uncertain decision-making by incorporating advantages of the NS and grey systems theories with the AHP in investigating sustainability through agility readiness evaluation in large manufacturing plants. This study pioneers a combined neutrosophic-grey AHP (NG-AHP) method for uncertain decision-making modelling. The applicability of the hybrid NG-AHP method is shown in an illustrative real-case study for agility evaluations in the Iranian steel industry. The computational results indicate the effectiveness of the proposed method in adequately capturing uncertainty in the subjective judgements of decision makers. In addition, the results verify the significance of the research in group decision-making under uncertainty. The practical outcome reveals that, to become a more sustainable agile steel producer in the case country, they should first focus on the “organisation management agility” as the most significant criterion in the assessment followed by “manufacturing process agility,” “product design agility,” “integration of information system,” and “partnership formation capability,” respectively.

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Section: The G-ahp Methodsmentioning

confidence: 99%

A Hybrid Neutrosophic-Grey Analytic Hierarchy Process Method: Decision-Making Modelling in Uncertain Environments

Vafadarnikjoo

Scherz

2021

Mathematical Problems in Engineering

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“…Given C 1 ; C 2 ; …; C n represent a collection of elements, while a ijk denotes a quantified judgement on a pair of elements, C i and C j by expert k ðk ¼ 1; 2; …; mÞ. This results in a pair-wise comparison matrix as shown in Equation 17 (Hayaty et al, 2014;Liu and Chen, 2007):…”

Section: Fd Methodsmentioning

confidence: 99%

Assessment of consumers' motivations to purchase a remanufactured product by applying Fuzzy Delphi method and single valued neutrosophic sets

Vafadarnikjoo

Mishra

Govindan

et al. 2018

Journal of Cleaner Production

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Environmental issues have been worldwide matters of concern especially in the recent decade and have made many firms implement end-of-life strategies such as remanufacturing. In prior studies, the supply side of remanufacturing supply chain has been vastly brought into focus compared to the demand side. Motivational factors that encourage consumers to purchase remanufactured products are getting firms attentions in developing effective marketing strategies to assist them being more productive in the current competitive market. However, consumer acceptance of remanufactured products has been regarded as one of the main reasons why remanufacturing has remained a majorly untapped opportunity for improving supply chain productivity. This study aims at exploring the major motivational factors for buying a remanufactured bike based on the consumers' and experts' opinions. Firstly, twelve motivations identified by scrutinising the literature. Secondly, single valued trapezoidal neutrosophic numbers (SVTNN) and trapezoidal neutrosophic weighted arithmetic averaging (TNWAA) operator were employed to obtain seven significant motivations using the survey data collected from potential customers. This method is applied owing to its capability in capturing the uncertainty of consumers' subjective judgements. Thirdly, the resulted seven motivations are prioritised in accordance with the experts' judgements utilising a proposed modified fuzzy Delphi (FD) method. Ultimately, the most significant motivation to purchase a remanufactured bike identified as quality that suggests quality is the major factor affecting purchase decision of a remanufactured bike. It indicates remanufacturers should focus on quality and attempt to improve the quality of products to gain more competitive advantage. The other six factors that should be stressed by remanufacturer's marketing strategies are prioritised as warranty, price, information provision, remanufacturer's reputation, value-added services and retailer's reputation respectively.

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“…Based on a study, the enrichment factor (EF) is broadly used to estimate the anthropogenic impacts on sediments and soils [20][21][22]. This factor compares the concentration of an element in samples with the concentration of the same element in non-contaminated areas [23]. In order to evaluate natural or anthropogenic sources of heavy metal content in samples, an enrichment factor is calculated as follows:…”

Section: Enrichment Factor (Ef)mentioning

confidence: 99%

Evaluation of Heavy Metals Concentration in Jajarm Bauxite Deposit in Northeast of Iran Using Environmental Pollution Indices

Rezaei¹,

Hassani²,

Mousavi³

et al. 2019

Malays. j. geosci.

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Heavy metals are known as an important group of pollutants in soil. Major sources of heavy metals are modern industries such as mining. In this study, spatial distribution and environmental behavior of heavy metals in the Jajarm bauxite mine have been investigated. The study area is one of the most important deposits in Iran, which includes about 22 million tons of reserve. Contamination factor (CF), the average concentration (AV), the enrichment factor (EF) and geoaccumulation index (GI) were factors used to assess the risk of pollution from heavy metals in the study area. Robust principal component analysis of compositional data (RPCA) was also applied as a multivariate method to find the relationship among metals. According to the compositional bi-plots, the RPC1 and RPC2 account for 57.55% and 33.79% of the total variation, respectively. The RPC1 showed positive loadings for Pb and Ni. Also, the RPC2 showed positive loadings for Cu and Zn. In general, the results indicated that mining activities in the bauxite mine have not created serious environmental hazards in the study area except for lead and nickel. Finding potential relations between mining work and elevated heavy metals concentrations in the Jajarm bauxite mine area necessitates developing and implementing holistic monitoring activities. KEYWORDSEnvironmental behavior, Contamination criteria, Heavy metals, Multivariate statistical analyses, Jajarm bauxite deposit. MATERIALS AND METHODS Study AreaThe Jajarm bauxite deposit is the largest deposit in Iran and located in North Khorasan Province (northeast Iran) and 15 km North-East Jajarm town. The deposit is situated in 56 • 27' 30" longitude and 37 • 2' to 37 • 4' latitude ( Fig.1) and is more than 8 km long and 20 m thick and has over 22 million tons of storage. This region has a dry desert climate and low Malaysian Journal of Geosciences (MJG)

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Risk Assessment and Ranking of Metals Using FDAHP and TOPSIS

Cited by 28 publications

References 18 publications

A Hybrid Neutrosophic-Grey Analytic Hierarchy Process Method: Decision-Making Modelling in Uncertain Environments

A Hybrid Neutrosophic-Grey Analytic Hierarchy Process Method: Decision-Making Modelling in Uncertain Environments

Assessment of consumers' motivations to purchase a remanufactured product by applying Fuzzy Delphi method and single valued neutrosophic sets

Evaluation of Heavy Metals Concentration in Jajarm Bauxite Deposit in Northeast of Iran Using Environmental Pollution Indices

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