Novel distance and entropy definitions for linear Diophantine fuzzy sets and an extension of <scp>TOPSIS</scp> (<scp>LDF‐TOPSIS</scp>)

Gül, Sait; Aydoğdu, Ali

doi:10.1111/exsy.13104

Cited by 17 publications

(7 citation statements)

References 88 publications

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“…For example, some MCDM methods, such as AHP and TOPSIS, require pairwise comparison matrices [78] that may be difficult to obtain or may involve subjective judgments. Other methods, such as fuzzy logic and entropy, can handle uncertain and imprecise information, but may require significant expertise in fuzzy set theory or information theory [79]. Therefore, it is important to consider the availability and quality of data and expertise when selecting an MCDM technique.…”

Section: Mcdm Methodsmentioning

confidence: 99%

Integrating Multi-Criteria Decision-Making Methods with Sustainable Engineering: A Comprehensive Review of Current Practices

Štilić¹,

Puška²

2023

Eng

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Multi-criteria decision-making (MCDM) methods have gained increased attention in sustainable engineering, where complex decision-making problems require consideration of multiple criteria and stakeholder perspectives. This review paper provides a comprehensive overview of the different MCDM methods, their applications in sustainable engineering, and their strengths and weaknesses. The paper discusses the concept of sustainable engineering, its principles, and the different areas where MCDM methods have been applied, including energy, manufacturing, transportation, and environmental engineering. Case studies of real-world applications are presented and analyzed, highlighting the main findings and implications for engineering practice. Finally, the challenges and limitations of MCDM methods in sustainable engineering are discussed, and future research directions are proposed. This review contributes to the understanding of the role of MCDM methods in sustainable engineering and provides guidance for researchers and practitioners.

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Section: Mcdm Methodsmentioning

confidence: 99%

Integrating Multi-Criteria Decision-Making Methods with Sustainable Engineering: A Comprehensive Review of Current Practices

Štilić¹,

Puška²

2023

Eng

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“…To improve the universality of the proposed model, this paper comprehensively considered the three optimization targets of the maintenance cost, availability, and reliability of systems. It adopted a weighted Technique for Order Preference by Similarity to an Ideal Solution (TOPSIS) approach [51] to construct a comprehensive optimization target. The recommended maintenance time was given through optimization of it.…”

Section: Comprehensive Optimization Targetmentioning

confidence: 99%

Data-Driven Predictive Maintenance Policy Based on Dynamic Probability Distribution Prediction of Remaining Useful Life

Xie,

Xue,

Zhang

et al. 2023

Machines

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As the reliability, availability, maintainability, and safety of industrial equipment have become crucial in the context of intelligent manufacturing, there are increasing expectations and requirements for maintenance policies. Compared with traditional methods, data-driven Predictive Maintenance (PdM), a superior approach to equipment and system maintenance, has been paid considerable attention by scholars in this field due to its high applicability and accuracy with a highly reliable quantization basis provided by big data. However, current data-driven methods typically provide only point estimates of the state rather than quantification of uncertainty, impeding effective maintenance decision-making. In addition, few studies have conducted further research on maintenance decision-making based on state predictions to achieve the full functionality of PdM. A PdM policy is proposed in this work to obtain the continuous probability distribution of system states dynamically and make maintenance decisions. The policy utilizes the Long Short-Term Memory (LSTM) network and Kernel Density Estimation with a Single Globally-optimized Bandwidth (KDE-SGB) method to dynamic predicting of the continuous probability distribution of the Remaining Useful Life (RUL). A comprehensive optimization target is introduced to establish the maintenance decision-making approach acquiring recommended maintenance time. Finally, the proposed policy is validated through a bearing case study, indicating that it allows for obtaining the continuous probability distribution of RUL centralized over a range of ±10 sampling cycles. In comparison to the other two policies, it could reduce the maintenance costs by 24.49~70.02%, raise the availability by 0.46~1.90%, heighten the reliability by 0.00~27.50%, and promote more stable performance with various maintenance cost and duration. The policy has offered a new approach without priori hypotheses for RUL prediction and its uncertainty quantification and provided a reference for constructing a complete PdM policy integrating RUL prediction with maintenance decision-making.

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“…The information representation under LPFS has been extensively explored in MAGDM methods (Ding & Liu, 2019; Liu et al, 2019; Villa Silva et al, 2021). In addition, it is also combined with a variety of classical tools to solve practical decision‐making problems, including TOPSIS (Gül & Aydoğdu, 2022; Sarkar & Biswas, 2021), TODIM (Deng & Gao, 2019), CODAS (He et al, 2020). Although many works about LPFS have been done previously, there are still some research gaps in the operational laws that the AO based on and the aggregation function.…”

Section: Introductionmentioning

confidence: 99%

Multi‐attribute group decision‐making based on linguistic Pythagorean fuzzy copula extended power average operator

Kou

Wang

et al. 2023

Expert Systems

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This paper aims to propose a novel multi‐attribute group decision‐making (MAGDM) method based on linguistic Pythagorean fuzzy copula extended power average operator. Existing researches under linguistic Pythagorean fuzzy environment lack of the ability to handle with extreme values and the flexible operational rules. To fill these two gaps, this paper first provides the definition of Archimedean copula and co‐copula operational rules under linguistic Pythagorean fuzzy environment, which can reflect the connection among arguments and provide more choices for experts to express their preferences. Then, we gather the extended power average (EPA) operator to present some new aggregation operators, which can reduce the negative influence of extreme evaluation values. To show the application of the proposed method to MAGDM problems, we apply it to handle a case of takeout O2O platform assessment problem. The numerical case and comparative analysis with other existing methods illustrate that our proposed method is more scientific and flexible.

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Novel distance and entropy definitions for linear Diophantine fuzzy sets and an extension of TOPSIS (LDF‐TOPSIS)

Cited by 17 publications

References 88 publications

Integrating Multi-Criteria Decision-Making Methods with Sustainable Engineering: A Comprehensive Review of Current Practices

Integrating Multi-Criteria Decision-Making Methods with Sustainable Engineering: A Comprehensive Review of Current Practices

Data-Driven Predictive Maintenance Policy Based on Dynamic Probability Distribution Prediction of Remaining Useful Life

Multi‐attribute group decision‐making based on linguistic Pythagorean fuzzy copula extended power average operator

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