Location selection for WEEE recycling plant by using Pythagorean fuzzy AHP

Kaya, Aycan; Cicekalan, Busra; Çebi, Ferhan

doi:10.3233/jifs-179471

Cited by 35 publications

(9 citation statements)

References 24 publications

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“…However, according to [25,37] the traditional Satty's analytic hierarchy process method does not deal with the uncertainty involved in assessing the importance of the criteria For this reason, a fuzzy version of it was selected. This approach performs analytic hierarchy process under uncertainty and ambiguity, has received increasing acceptance, and has been approved and implemented to solve decision-making problems in many fields.…”

Section: The Fuzzy Analytic Hierarchy Processmentioning

confidence: 99%

“…To test the value of consistency of the comparison matrix depended on n, the consistency rate (CR) has to be computed. The CR is defined in [37] as a ratio between the consistency of a consistency index (CI) and the consistency of a random consistency index (RI). Saaty suggests that the consistency of the matrix is acceptable only if CR < 0.10 [37].…”

Section: D) Step 4-consistency Check the Fuzzy Pairwise Comparison Matrix And Calculate The Consistency Ratio (Cr)mentioning

confidence: 99%

“…The CR is defined in [37] as a ratio between the consistency of a consistency index (CI) and the consistency of a random consistency index (RI). Saaty suggests that the consistency of the matrix is acceptable only if CR < 0.10 [37]. When a matrix is inconsistent, then new pairwise comparison judgments are required.…”

Section: D) Step 4-consistency Check the Fuzzy Pairwise Comparison Matrix And Calculate The Consistency Ratio (Cr)mentioning

confidence: 99%

See 2 more Smart Citations

A Fuzzy MCDM Approach for Structured Comparison of the Health Literacy Level of Hospitals

Alghawli¹,

Nasser²,

Aljober³

2021

IJACSA

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The primary objective of this study is to develop a hybrid multi-criteria decision-making (MCDM) model to evaluate and compare the organizational health literacy responsiveness (OHLR) level of hospitals. To achieve this goal, the health literacy performance indicators are selected, some potential uses of single and hybrid MCDM and qualitative approaches for structured comparison purposes are illustrated, one more common hybrid approach based on the Fuzzy Analytic Hierarchy Process and fuzzy Delphi method was chosen, developed, and applied. To compare the proposed model with its classical non fuzzy version (Qualitative -AHP), a case study example on the effect of their implementation on a structured comparison decisions is conceded, and the Bland Altman agreement method is applied to compare the results obtained by them. The results present the suitability of the application of both hybrid approaches for solving the problem. It also shows that the application of them leads to a distinctive outcomes. Robust Fuzzy based outcomes, and small agreement interval (< 0.0113) and little average change level in the rates of the hospitals (< 2.08 %) are observed between results acquired by the Fuzzy based approach and those which were defined by the other model. Based on these results, a fuzzy based model was recommended for structured comparison of the OHLR level of hospitals under uncertainty conditions. It supports sustainable planning practices, and helps with improvement and effectively distributes the necessary resources.

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Section: The Fuzzy Analytic Hierarchy Processmentioning

confidence: 99%

Section: D) Step 4-consistency Check the Fuzzy Pairwise Comparison Matrix And Calculate The Consistency Ratio (Cr)mentioning

confidence: 99%

Section: D) Step 4-consistency Check the Fuzzy Pairwise Comparison Matrix And Calculate The Consistency Ratio (Cr)mentioning

confidence: 99%

See 1 more Smart Citation

A Fuzzy MCDM Approach for Structured Comparison of the Health Literacy Level of Hospitals

Alghawli¹,

Nasser²,

Aljober³

2021

IJACSA

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show abstract

“…Here, a fuzzy matrix was considered consistent if there existed a set of crisp relative weights within the feasible region defined by the ranges of mean values [45]. Kaya et al [46] used a two-grade fuzzy synthetic decision-making system with use of AHP for evaluating the performance of grinding fluids reported. Five different pairs of algorithms were used in the first evaluation.…”

Section: The Evolution Of Fahp Theorymentioning

confidence: 99%

A Fuzzy Analytic Hierarchy Process-Based Analysis of the Dynamic Sustainable Management Index in Leisure Agriculture

Lin

2020

Sustainability

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Agricultural leisure is one of the development trends in modern society. However, in leisure agriculture management, managers must consider the dual characteristics of agricultural production technology and the leisure service industry. Therefore, managers often face various selection pressures during management decision-making. This study examined the following five evaluation aspects: organization and operation, leisure agricultural resources, environmental maintenance management, public facility maintenance management, and operational performance. Thereafter, according to the five evaluation aspects, 21 subprojects were further divided at the second level on the basis of different attributes. Fuzzy analytic hierarchy process (FAHP) was adopted to calculate the relative weights of various indicators, and the indicators were dynamically sorted according to their importance. Moreover, the study summarized the dynamic management indicators of leisure agriculture and contributed to research on leisure farming. The results show that managers’ approach toward leisure agriculture management can be divided into three types: active, moderate, and conservative. The indicators in which the active managers attach importance when managing leisure agricultural enterprises are clearly different from those valued by moderate and conservative managers. Finding managers who are suitable for leisure agriculture management is of great significance to leisure agriculture enterprises. Appointing managers with appropriate attitudes who can continuously improve the efficiency of enterprises and create a competitive advantage can bring sustainable business value to these enterprises.

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“…Yıldız et al [40] applied PF-AHP and PF-TOPSIS methods to assess 25 different districts in Istanbul for ATM location selection for a public bank serving in Turkey. Kaya et al [41] used the MCDM approach with PFSs to take into account a variety of contradictory factors, from qualitative to quantitative, in the site selection of the WEEE recycling facility. For this purpose, they applied to PF-AHP and PF-TOPSIS methods to find the best location alternative.…”

Section: Pythagorean Fuzzy Analytic Hierarchy Process (Pf-ahp)mentioning

confidence: 99%

Prioritizing the Factors for Customer-Oriented New Product Design in Industry 4.0

Erdoğan

Bilişik

2020

Sakarya University Journal of Science

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Customer-oriented new product design is one of the most important processes in the production environment to improve product quality and reliability and maximize their productivity. It is also necessary to consider customer expectations in this process for an effective design. In this paper, we present a methodology which is called Pythagorean Fuzzy Analytic Hierarchy Process (PF-AHP) for prioritizing criteria which should be considered for an efficient customer-oriented new product design in Industry 4.0 transition primarily. We use Pythagorean Fuzzy Sets (PFSs) to allow experts to make more flexible evaluations and handle the uncertain and vague information in a wider way. We determine five main and eighteen sub-criteria that affect the new product design process and after applying PF-AHP, we find that the most important main-criterion determined as "Production" and sub-criterion determined as "Return on Investment".

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Location selection for WEEE recycling plant by using Pythagorean fuzzy AHP

Cited by 35 publications

References 24 publications

A Fuzzy MCDM Approach for Structured Comparison of the Health Literacy Level of Hospitals

A Fuzzy MCDM Approach for Structured Comparison of the Health Literacy Level of Hospitals

A Fuzzy Analytic Hierarchy Process-Based Analysis of the Dynamic Sustainable Management Index in Leisure Agriculture

Prioritizing the Factors for Customer-Oriented New Product Design in Industry 4.0

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