Evaluation of Dam Break Social Impact Assessments Based on an Improved Variable Fuzzy Set Model

Abstract

In recent years attention has shifted from “dam safety” to “dam risk” due to the high loss characteristics of dam breaks. Despite this, there has been little research on social impact assessments. Variable fuzzy sets (VFSs) are a theoretical system for dealing with uncertainty that are used in many industries. However, the relative membership degree (RMD) calculations required for VFSs are complicated and data can be overlooked. Furthermore, the RMD is highly subjective when dealing with qualitative problems, which can seriously affect the accuracy of the results. This study introduces grey system theory (GST) which analyzes the RMD characteristics to improve traditional VFSs. A new method for calculating the social impact of a dam break is proposed based on the correlation between the core parameters of the two theories. The Liujiatai Reservoir is used as a test case and the new and traditional evaluation methods are compared. The results show that the proposed method has advantages when dealing with uncertainty that are consistent with the characteristics of the problems associated with dam break social impact assessments. Moreover, the evaluation results obtained using the proposed method are consistent with, or more accurate than, those obtained using the traditional method.

Study on Imagery Modeling of Electric Recliner Chair: Based on Combined GRA and Kansei Engineering

“…As a result, product designers can pay more attention to these pertinent design elements, while de-emphasizing those that are less relevant. The modeling form elements with the most significant impact are selected as linguistic input variables for the fuzzy logic model of gray relational analysis (GRA), with the product image serving as the output variable [53][54][55].…”

Metodología para la Medición de Impactos Sociales: Una Aplicación de la Matemática Borrosa

“…En el campo de los sistemas de seguridad, se han dado grandes avances haciendo uso de conjuntos borrosos (Kabir & Papadopoulos, 2018). En el campo de la evaluación de proyectos, en la actualidad se aplican estas nociones, sea para evaluar sostenibilidad de los mismos (Ma & Kremer, 2016;Thies, Kieckhäfer, Spengler, & Sodhi, 2019), en la estimación de los costos (Wang, 2017), en los impactos causados por proyectos de redes eléctricas a través de modelos basados en lógica fuzzy (Liu, y otros, 2018), en el desarrollo de proyectos del sector energético a través de teoría de incertidumbre y lógica fuzzy (Soni, Singh, & Banwet, 2016), para los impactos sociales causados por roturas de presas a través de un modelo de conjuntos borrosos variables (He, Chai, Qin, Xu, & Li, 2020); o también en los impactos de proyectos de construcción de puentes en áreas costeras a través de ponderación de criterios basados en métodos fuzzy (Navarro, Yepes, & Martí, 2020). Por último, en el campo empresarial se encuentran metodologías fuzzy, para el análisis de PYMEs y su sistema de gestión de forma alineada (Centobelli, Cerchione, & Esposito, 2018); y en el área financiera donde se evalúan diversos métodos fuzzy para maximizar el valor presente neto fuzzy (El-Kholy, El-Shikh, & Abd-Elhay, 2017)…”