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- Title
Bipolar intuitionistic fuzzy graph based decision-making model to identify flood vulnerable region.
- Authors
Nithyanandham, Deva; Augustin, Felix; Narayanamoorthy, Samayan; Ahmadian, Ali; Balaenu, Dumitru; Kang, Daekook
- Abstract
Bipolar intuitionistic fuzzy graphs (BIFG) are an extension of fuzzy graphs that can effectively capture uncertain or imprecise information in various applications. In graph theory, the covering, matching, and domination problems are benchmark concepts applied to various domains. These concepts may not be defined precisely using a crisp graph when the vertices and edges are more uncertain. Therefore, this study defines the covering, matching and domination concepts in bipolar intuitionistic fuzzy graphs (BIFG) using effective edges with certain important results. To define these concepts when the effective edges are absent, some novel approaches are discussed. To illustrate the domination concepts, the applications in disaster management and location selection problems are discussed. Further, a BIFG-based decision-making model is designed to identify the flood-vulnerable zones in Chennai, where the city's most and least vulnerable zones are identified. From the proposed model, Kodambakkam ( Z 10 ) is the most susceptible zone in Chennai. Finally, a comparative analysis is done with the existing techniques to show the efficiency of the model.
- Subjects
CHENNAI (India); FUZZY graphs; FLOOD warning systems; GRAPH theory; EMERGENCY management; DECISION making; BENCHMARK problems (Computer science); FLOODS
- Publication
Environmental Science & Pollution Research, 2023, Vol 30, Issue 60, p125254
- ISSN
0944-1344
- Publication type
Article
- DOI
10.1007/s11356-023-27548-3