Linguistic entropy weight method

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August undefined, 2024

Nettet9. 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 … NettetSecondly, in the vast majority of MAGDM methods with hesitant fuzzy linguistic information, (6) neither the most classic one nor novel one can achieve the effect, …

Linguistic-valued lattice implication algebra TOPSIS method based …

NettetTOPSIS Method Based on Novel Entropy and Distance Measure for Linguistic Pythagorean Fuzzy Sets With Their Application in Multiple Attribute Decision Making … 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 … books heart image

A New Linguistic Variable in Interval Type-2 Fuzzy Entropy Weight …

NettetBy combining the entropy weight method with the ranking method, a combination weighting method was proposed to determine the weight of each index in the index system. ... Xu, Z.S.; Zhai, Y.L. Multi-attribute group decision-making under probabilistic uncertain linguistic environment. J. Oper. Res. Soc. 2024, 69, 157–170. [Google … 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. NettetConsidering the excellent performance of intuitive fuzzy linguistic sets in dealing with uncertain information, this paper introduces a new interval-valued intuitionistic pure … book sheath

TOPSIS Method for Probabilistic Linguistic MAGDM with …

Integrated BWM-Entropy weighting and MULTIMOORA method …

NettetFailure 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 … Nettet28. 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. books heating and cooling indianaNettetThe 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. … books heartland is based on

"Nettet1. jul. 2024 · Traditional supplier selection methods seldom consider the entire supply chain. Therefore, this paper proposes an integrated model combining the linguistic … " - Linguistic entropy weight method

Linguistic entropy weight method

Entropy Free Full-Text Deng Entropy Weighted Risk Priority …

Nettet14. jul. 2024 · We define the linguistic picture fuzzy entropy to calculate the objective weights of the criteria in multi-criteria decision-making problems, then we develop the TOPSIS method and TODIM method with linguistic picture fuzzy entropy to the proposed distance measures. Nettet1. mai 2024 · Hesitant fuzzy linguistic term set (HFLTS) is a useful tool for describing people's subjective cognitions in the process of decision making. Multiple criteria …

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NettetConsidering the excellent performance of intuitive fuzzy linguistic sets in dealing with uncertain information, this paper introduces a new interval-valued intuitionistic pure … 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].

NettetThe entropy measures can reflect the fluctuation of LPFSs in terms of the uncertainty degree. Therefore, the entropy measures can be used to derive the attribute weight information for the MADM problems under the LPFS environment. 3.1. Correlation Coefficients and Their Properties Nettet1. mai 2024 · In 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.

NettetAnd the 2-tuple linguistic model is used to unify the non-homogeneous information, so the treatment selection is accurate and reliable. Simultaneously, for the unknown index and criteria weight, the improved entropy weight method and the BWM (best-worst-method) are utilized to figure out the index weight and criteria weight, respectively. 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, …

NettetThe entropy weight method mainly uses the magnitude of the entropy value in information theory to represent the uncertainty of the message, calculates the ability of each evaluation attribute to pass decision information, and calculates the relative weight between attributes.

Nettet10. aug. 2024 · The entropy weight (EW) method can fully mine the information contained in the original data, the smaller the entropy value, the smaller the degree of … books heartlandNettet1. apr. 2016 · This paper proposes a new method based on the theory of linguistic operator and the entropy weight method to determine the attribute weights in the … books heart healthy dietNettet20. des. 2024 · Based on linguistic term sets and the entropy weight method, the concept of the linguistic entropy weight method (LEWM) has been suggested (He et al., 2016). The LEWM can effectively decrease information loss during the decision-making process. Therefore, this paper applies the LEWM to evaluate green suppliers. books heartland series