An interval type-2 fuzzy AHP and TOPSIS methods for decision-making problems in maritime transportation engineering: The case of ship loader

Çelik, Erkan; Akyüz, Emre

doi:10.1016/j.oceaneng.2018.01.039

Cited by 127 publications

(58 citation statements)

References 34 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…WASPAS and type-2 fuzzy TOPSIS method were used to select a car sharing station [49]. Interval type-2 AHP and TOPSIS methods were used to select an appropriate ship loader type in maritime transport [50]. IT2F-TOPSIS method was used to select a material [55], a new route from five different destinations for one airline [48] a green supplier [56], a supplier [51] and RFID for warehouses [52] and to assess supplier performance for an airline [57] and investment projects for development agencies [58].…”

Section: Interval Type 2 Fuzzy Topsis Methodologymentioning

confidence: 99%

See 1 more Smart Citation

Digital Supplier Selection for a Garment Business Using Interval Type-2 Fuzzy Topsis

Özbek

Yıldız

2020

Tekstil Ve Konfeksiyon

View full text Add to dashboard Cite

The aim of this study was to use the interval type-2 fuzzy TOPSIS method to select the best supplier among a number of suppliers digitized by Industry 4.0 for a company operating in the garment industry. The interval type-2 fuzzy TOPSIS method involves an interval of type-2 fuzzy sets and can model uncertainties very well to solve fuzzy multi-criteria decision making problems. Alternatives were listed based on closeness indexes, and the best digital supplier was selected based on sensitivity analysis. This is the first study to use the model in question to select the best digital supplier for a company. We, therefore, believe that it will contribute to the literature. It is recommended that the model in question be used in other industries as well.

show abstract

Section: Interval Type 2 Fuzzy Topsis Methodologymentioning

confidence: 99%

“…Interval T2FSs are easier to calculate, and therefore, used by most applications. Interval T2FSs are used in real-world multi-criteria decision-making (MCDM) problems [50].…”

Section: Type-2 Fuzzy Setsmentioning

confidence: 99%

Digital Supplier Selection for a Garment Business Using Interval Type-2 Fuzzy Topsis

Özbek

Yıldız

2020

Tekstil Ve Konfeksiyon

View full text Add to dashboard Cite

show abstract

“…The CR is to measure how consistent the judgments have been relative to large samples of purely random judgments. If the CR is more than 0.1, the judgments are considered untrustworthy (Celik and Akyuz, 2018). This indicates that the experts are required to revise the judgments on the pair-wise comparison for each RIF in the subordinate RIF group of RIF-Index hierarchy, and thus the judgment matrix will be modified.…”

Section: Weights Measurement Of Rifs In the Hierarchymentioning

confidence: 99%

Quantitative risk modelling of maintenance work on major offshore process equipment

Zhen

Vinnem

Peng

et al. 2018

Journal of Loss Prevention in the Process Industries

View full text Add to dashboard Cite

Investigations of major offshore accidents show that both technical and non-technical factors have crucial effects on the accident sequences. Nonetheless, quantitative risk analyses (QRAs) have traditionally focused on the technical safety systems while applications and findings in the non-technical fields are to a large extent missing. This paper proposes a new quantitative risk modelling methodology reflecting and analyzing how specific factors with respect to human, operational and organizational risk influencing factors (RIFs) influence the barrier performance for offshore maintenance work. New RIF-Index is proposed to identify and structure diverse RIFs for all failure events. RIFs are assessed by experts according to the established fuzzy scoring criterion. Further, the modified fuzzy analytic hierarchy process (AHP) addressing the fuzzy consistency is used to assess the importance degree of RIFs. On this basis, the industry average frequencies/probabilities are revised through an integrated assessment of the priority weights and the status of RIFs. Thus, input of the revised frequencies/probabilities results in an updated risk picture, which takes the specific conditions of technical, human, operational and organizational RIFs into account. Specific hydrocarbon release incident on the offshore installation is used as a case study with the purpose to apply and test the proposed methodology. It has been demonstrated that the proposed methodology is an effective tool for analyzing the failure of safety barriers, and handling the uncertainties and subjectivities arising in the operational risk analysis. The methodology is useful in demonstrating the effects on the barrier performance of installation specific conditions of non-technical RIFs.

show abstract

“…In order to handle the inherent uncertainty or fuzziness of data (to assess the psychological behavior of employees, etc. ), the FAHP has been successfully applied in many fields in recent years, such as in-flight service quality [37], energy investments [38,39], transportation engineering management [40,41], application in the army [42], project prioritization and selection [43], and healthcare service quality [44]. Furthermore, fuzzy AHP is also applied in combination with other methods to tackle actual making-decision and management problems [45,46].…”

Section: Introductionmentioning

confidence: 99%

A Safety Performance Assessment Framework for the Petroleum Industry’s Sustainable Development Based on FAHP-FCE and Human Factors

2019

View full text Add to dashboard Cite

Sustainability is a key factor in petroleum industry development, determining whether an enterprise has the ability to maintain high-quality safety management in the long term. In order to reduce occupational injuries and accidents, and to improve safety in the petroleum industry, this study proposes a hybrid approach based on the fuzzy analytical hierarchy process (FAHP), human factors, and the fuzzy comprehensive evaluation (FCE) method in order to assess safety performance in a petroleum enterprise. This paper is comprised of four stages. In the first stage, a model is constructed for assessing the safety of the petroleum industry based on a literature review. In the second stage, we use the FAHP to determine the weights of five factors and 19 sub-factors. In the third stage, employees are the subjects of a questionnaire on the safety performance of the petroleum enterprise. According to the analysis of the assessment results, we focus on improving employees’ safety behaviors and mental health. A second round of questionnaires is distributed to the employees, and a second set of assessment results obtained. Finally, the results of the two evaluations are compared, and the effectiveness of the combination of FAHP, human factors, and FCE is verified.

show abstract

An interval type-2 fuzzy AHP and TOPSIS methods for decision-making problems in maritime transportation engineering: The case of ship loader

Cited by 127 publications

References 34 publications

Digital Supplier Selection for a Garment Business Using Interval Type-2 Fuzzy Topsis

Digital Supplier Selection for a Garment Business Using Interval Type-2 Fuzzy Topsis

Quantitative risk modelling of maintenance work on major offshore process equipment

A Safety Performance Assessment Framework for the Petroleum Industry’s Sustainable Development Based on FAHP-FCE and Human Factors

Contact Info

Product

Resources

About