Evaluation of interaction between housing infrastructure resilience factors against flood hazard based on rough DEMATEL approach

Abstract

Purpose Housing infrastructure is the basic need for people of a community and due to disaster many houses may severaly damaged. Stakeholders and decision makers should focus on this issue and make the infrastructure more resilient against natural hazards. As dependency plays a very important role in resilience, it is important to study the dependencies and correlations among the housing infrastructure resilience factors. The evaluation of dependencies involve vagueness due to subjective judgement of experts. Design/methodology/approach In this work, the interaction between the housing infrastructure resilience factors are evaluated by using two different approaches such as crisp DEMATEL (Decision-Making and Trial Evaluation Laboratory) and rough DEMATEL (intregated crisp DEMATEL and rough set theory), where rough theory addressed the involvement of vagueness. These two approaches are compared with each other to find the effectiveness of rough DEMATEL over crisp DEMATEL. Findings The important factors of housing infrastructure resilience are identified by using both the approaches against flood hazard. Research limitations/implications The limitation of rough DEMATEL method is that it does not differentiate the type of influence such as positive or negative. Practical implications The outcome of the work will helps the stakeholders and ecission makers to make the infrastructure more resilient. Originality/value This study identify the imporatnat resilience factors of housing infrastructure against flood hazard by using two methodologies.

Collaborative Damage Detection Framework for Rail Structures Based on a Multi-Agent System Embedded with Soft Multi-Functional Sensors

“…A WSN with SMFS is applied here for the structural health monitoring of a large-scale rail structure using distributed sensing data and an intelligent algorithm. An MAS based on the WSN is adopted for the distributed monitoring of the infrastructure [ 21 ], and a sensor model with smart agent technology is built to represent the sensor units for data collection. A data sharing mechanism is used for the cooperative sensing and damage detection of the monitored subjects.…”

An Evaluation of Water Absorption Process Parameters for Composites by Deploying A Novel DEMATEL Method-PROMETHEE Method

“…It depends on an impact relations map popularly called the cause and effect diagram to accomplish the interpretation of the relationships among the parameters. The methodology of DEMATEL method has been adopted as single methods in various endeavors, including supply chain management (Mangla et al, 2014;Wu and Chang, 2015;Susanty et al, 2020), technological evaluations (Sumrit and Anuntavoranich, 2013), sustainability (Sivakumar et al, 2018), hospital service (Shieh et al, 2010), flood control (Sen et al, 2021), error proofing (Islam et al, 2019), real estate management (Golabeska, 2018) and complex structure analysis (Du and li, 2020).…”

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“…The hull of a ship has recently been studied in Maduekwe and Oke (2020) but the call for more extensive tests of composite materials for the ship's hull with high structural integrity should be answered. While motivated by the performance of the DEMATEL method in previous studies (Rajput and Singh, 2019;Amirreza et al, 2020;Du and Li, 2020;Pothal et al, 2020;Rostamnezhad et al, 2020;Sen et al, 2021), an effort was made in the present study to analyse the ranks of the five prominent parameters in the water absorption process by using an integrated method of DEMATEL method-PROMETHEE method. This paper argues that the composite development process needs a re-organisation in the perspective of actualizing design options and material choices.…”

Novel Taguchi scheme–based DEMATEL methods and DEMATEL method for the principal performance indicators of maintenance in a food processing industry

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