Modeling of Earthquake Sensitivity in Areas with Incomplete Data Based on Fuzzy MCDM
DOI:
https://doi.org/10.52171/herald.311Keywords:
seismic risk, earthquake sensitivity factor, Z-number theory, fuzzy logic, ZHI, multi-criteria assessmentAbstract
The design phase of the software projects is particularly vulnerable to risks. This phase plays a key role in shaping the architectural structure, functional capabilities, and quality indicators of the final product. The decisions made during the design phase have a significant impact on subsequent phases-coding, testing, deployment, and maintenance. However, the complexity and uncertainties encountered during the design phase are often not adequately addressed by the traditional risk management methods, which tend to assess risks based on the simplified models. Therefore, it is important to apply methods that take into account uncertainties and manage them effectively. Although there are various approaches to seismic susceptibility assessment at the city scale, the aim of this study is to present a new Geographic Information System (GIS)-based model that works on vector data, based on the modified integration of Analytic Hierarchy Process (AHP), the fuzzy set theory, and the Technique of Preference Based on Similarity of Ideal Solutions (TOPSIS). The proposed method aims to manage uncertainty in the knowledge about the impact of criteria on seismic susceptibility, especially in areas where data are incomplete. For this purpose, uncertainties are taken into account through fuzzy set theory.
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