Linguistic entropy weight method
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. NettetTOPSIS Method Based on Novel Entropy and Distance Measure for Linguistic Pythagorean Fuzzy Sets With Their Application in Multiple Attribute Decision Making …
Linguistic entropy weight method
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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. 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 …
NettetConsidering the excellent performance of intuitive fuzzy linguistic sets in dealing with uncertain information, this paper introduces a new interval-valued intuitionistic pure … 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, where the same alternative has different weights under the same attribute, also say as those methods [23,24,25,26] only produce a constant weight vector of all attributes in spite …
Nettet1. aug. 2024 · In this section, a method to calculate the distance between ZTTCs and a new weight calculation method based on entropy weight method (EWM) are proposed. Multicriteria decision-making method based on ZTTCs Consider a MCGDM problem. The evaluation information is offered in the form of ZTTCs. http://fs.unm.edu/neut/EntropyBasedWeightsOnDecision.pdf
NettetAbstract: In order to solve the multi-attribute group decision-making problems, which the attribute weight is unknown and the index value of the alternative is linguistic-valued lattice implication algebra(LV(n×2)). This paper proposes a linguistic-valued lattice implication algebra TOPSIS method based on entropy weight method. We study the …
Nettet12. apr. 2024 · To compute the normal weights of attributes, the entropy weighting information process is used. Furthermore, two aggregation operators, namely the $ 2 $ … aqua tim banja lukaNettet21. apr. 2024 · In this section, the entropy method under the probabilistic linguistic environment is proposed to determine objective weight, which have advantage of … aqua timez sen no yoru wo koete lirik terjemahanNettetThe 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. bai rbcNettet(3) The steps of linguistic entropy weight method for multi-attributegroupdecisionmakingwithincomplete information: Step 1: Get linguistic … bair bikes torquayNettet28. jan. 2016 · Entropy is a well-known method for obtaining the objective weights for a multiple attribute decision making (MADM) problem [23,36], which refers to making preference decisions over the available alternatives that are characterized by … bair brant md santa feNettet5. 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 … aquatik shah alamNettet7. jan. 2024 · Entropy is a very important measure in information science. This work models an approach to determine the weights of decision makers by using an entropy measure. A new normalized projection as a separation measure, along with TOPSIS (technique for order preference by similarity to ideal solution) technique, is used for … aquatinta bedeutung