## 2 Related Works  
In the field of attribute weighting in multicriteria decision-making problems, the literature presents various works with diverse approaches and applications. Some of these works have made valuable contributions by integrating various methods to improve decision-making in various contexts and sectors. For example, the study [7] applied the Analytical Hierarchy Process (AHP) to determine criterion weights based on a survey evaluation. This information was used to identify habitats with higher botanical richness, threatened species, and threatened areas of important green spaces. In the research [8], an innovative model called Level-Based Weight Assessment (LBWA) was introduced for criterion weighting. This model seeks to define relationships between criteria to facilitate rational decision-making. Notable advantages of LBWA include its ability to calculate weighting coefficients with a reduced number of criterion comparisons. The model presented in [9] introduces a novel approach to multiple-attribute group decision-making (MAGDM) under the framework of Interval-Valued Hesitant Fuzzy Sets (IVHFS); using an enhanced version of the Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS). This proposed method is used to evaluate and classify alternative candidates more accurately based on selected criteria. The work [10] addresses criterion weighting using neutrosophic sets. This method has the advantage of being a deferred neutrosophic process with an efficient equation and was applied to an illustrative case of insurance option selection.  
On the other hand, [11] focuses on attribute weighting based on Spherical Fuzzy Sets, combining methods of Simple Additive Weighting (SAW) and the Weighted Product Method (WPM). This method is illustrated through a practical case of insurance selection for individuals. In [12], a comparison of variable weighting methods is conducted to measure the financial performance of a manufacturing company. The results highlight that the Preference Ranking Organization Method for Enrichment of Evaluations (PROMETHEE), used with a hybrid approach, provides a superior ranking of preferences in enrichment evaluations. The work of [13] stood out by combining the Analytical Hierarchy Process (AHP) and Goal Programming (GP) to weigh criteria in the context of hydroelectric sustainability, addressing environmental and social issues. The synergy of AHP, utilizing rational thinking, and GP provides a comprehensive and robust solution for heterogeneous groups. The research [14] is noteworthy for combining failure modes and Effects Analysis (FMEA) with the fuzzy method multicriteria optimization and compromise solution (VIKOR). This approach is applied to the weighting of risk factors, identifying severe failure modes and allowing the implementation of corrective actions with a solid priority ranking. In [15], a new method of Modified Integrated Weighting (MIW) is proposed, combined with the method of Complex Proportional Assessment (CORRAS). Its application focuses on classifying datasets, specifically in peanut cultivation sites, supporting decision-making for sustainable development. In [16], utility functions of Complex Proportional Assessment (CORRAS) are integrated with the Step-wise Weight Assessment Ratio Analysis (SWARA) for criterion weighting, aiming to better select suppliers in the oil and gas industry. The research [17] used a hybrid model that integrates the fuzzy Analytical Hierarchy Process (AHP), fuzzy Analytic Network Process (ANP), and fuzzy decision-making trial and evaluation lab oratory (DEMATEL) for criterion weighting. The model was applied to a multicriteria problem related to drone firefighting and disaster recovery services. Similarly, in [18], a combinative weighting method based on fuzzy group decision-making (FGAHP) and Criteria Importance Through Intercriteria Correlation (CRITIC) is developed to calculate criterion weights, focusing on the selection of the site for tidal power plants.