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Linguistic entropy weight method

NettetThe main disadvantage of the entropy method for assessing weight was the high sensitivity or hypersensitivity of significance to the entropy values of ... (2024) Interval‐valued pythagorean fuzzy Linguistic TODIM based on PCA and its application for emergency decision. International Journal of Intelligent Systems 35: 2049-2086. … Nettet26. jul. 2024 · Multicriteria decision making (MCDM) methods that can effectively determine subjective and objective weights of evaluation criteria have been applied to various fields, such as several frequently used methods of obtaining weights include analytic network process (ANP), quality function deployment (QFD), best worst method …

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NettetHuang, S.; Ming, B.; Huang, Q. A case study on a combination NDVI forecasting model based on the entropy weight method. Water Resour. Manag. 2024, 3667–3681. [Google Scholar] Sun, A. Interval Number Multiple Index Decision Making Method Based on Entropy Weight Method and Its Application. Math. Pract. Theory 2024, 50, 171–179. … Nettet12. apr. 2024 · To compute the normal weights of attributes, the entropy weighting information process is used. Furthermore, two aggregation operators, namely the $ 2 $ … fetisizálni jelentése https://previewdallas.com

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Nettet1. jan. 2013 · This paper aims to propose a new linguistics variable which considers both sides which are positive and negative fuzzy numbers. This new linguistic variable is … NettetIntegrated linguistic entropy weight method and multi-objective programming model for supplier selection and order allocation in a circular economy: A case study [2024] Feng, … NettetIn Section 4, using the entropy weight method to calculate the quantitative and qualitative attribute weights, a meta-synthesis decision-making method based on probabilistic … fetizon酸化

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Linguistic entropy weight method

Symmetry Free Full-Text Fuzzy TOPSIS-EW Method with Multi

Nettet31. des. 2013 · This paper aims to propose a new linguistics variable which considers both sides which are positive and negative fuzzy numbers. This new linguistic variable is developed in terms of interval... NettetConsidering the excellent performance of intuitive fuzzy linguistic sets in dealing with uncertain information, this paper introduces a new interval-valued intuitionistic pure …

Linguistic entropy weight method

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Nettet12. apr. 2024 · To compute the normal weights of attributes, the entropy weighting information process is used. Furthermore, two aggregation operators, namely the $ 2 $-tuple linguistic $ q $-rung picture fuzzy Einstein weighted average and the $ 2 $-tuple linguistic $ q $-rung picture fuzzy Einstein order weighted average, are introduced. Nettet31. mai 2024 · He et al. solved the decision making problem with linguistic information by establishing a model based on the linguistic aggregation operator and entropy weight …

Nettet5. mai 2024 · An entropy-based model is formulated and applied to a real case study aiming to examine the rankings of suppliers. Furthermore, the weights for each … NettetComputing Objective Weights. The main idea of the entropy method is that if the information entropy of the index is small, then the amount of information provided is …

Nettet14. mar. 2024 · A rockburst is a dynamic disaster that may result in considerable damage to mines and pose a threat to personnel safety. Accurately predicting rockburst intensity is critical for ensuring mine safety and reducing economic losses. First, based on the primary parameters that impact rockburst occurrence, the uniaxial compressive strength … Nettet24. feb. 2024 · Referring to the data conversion methods in these papers, we will convert all original index values into linguistic two-tuple then use the two-tuple entropy weight …

NettetIn this paper, we propose some hesitant fuzzy linguistic entropy and cross-entropy measures, and then establish a model for determining the criteria weights, which considers both the individual effect of each hesitant fuzzy linguistic element ( HFLE) and the interactive effect between any two HFLEs with respect to each criterion.

Nettetin the evaluation. The 2-tuple linguistic model is a method that is used to deal with the linguistic evaluation information. Yong Liu, Yong-Jie Xing, and Chen Xing applied the method of 2-tuple linguistic dynamic multiple attribute decision making with entropy weight to evaluate the risk of projects and virtual enterprises [12,13]. hp laptop adapter price in pakistanNettet28. jan. 2024 · In view of this research gap, this paper improves the definition of fuzzy entropy of LDNs, which simultaneously considers the effects of confidence degrees and LTs on the value of fuzzy entropy in LDNs. Then, the weights of attributes can be calculated by the improved fuzzy entropy. hp laptop adapter near meNettetComputing Objective Weights. The main idea of the entropy method is that if the information entropy of the index is small, then the amount of information provided is large and the weight high. Therefore, the weight-determination method was performed on the basis of entropy under an SVTNN environment: 71 (7) (8) Then, the entropy weight … fet j201Nettet29. sep. 2024 · TOPSIS Method for Probabilistic Linguistic MAGDM with Entropy Weight In this section, we propose a novel probabilistic linguistic TOPSIS method for … fet j113NettetFailure mode and effects analysis (FMEA), as a commonly used risk management method, has been extensively applied to the engineering domain. A vital parameter in FMEA is the risk priority number (RPN), which is the product of occurrence (O), severity (S), and detection (D) of a failure mode. To deal with the uncertainty in the … hp laptop adapter hotNettet14. jul. 2024 · Thirdly, we extend the technique for order of preference by similarity to the ideal solution (TOPSIS) method and the TODIM (an acronym in Portuguese of … fet j111Nettet9. sep. 2024 · First, the quantitative attribute weight is calculated based on the entropy weight method, and the qualitative attribute weight is calculated by considering the … hp laptop adapter walmart