Related Experiment Video
Updated: Jul 28, 2025
12:44
Watershed Planning within a Quantitative Scenario Analysis Framework
Published on: July 24, 2016
8.1K
Bipolar intuitionistic fuzzy graph based decision-making model to identify flood vulnerable region
Deva Nithyanandham1, Felix Augustin1, Samayan Narayanamoorthy2
1Mathematics Division, School of Advanced Sciences, Vellore Institute of Technology (Chennai Campus), Chennai, Tamil Nadu, India.
Summary
This study introduces covering, matching, and domination concepts for bipolar intuitionistic fuzzy graphs (BIFG). A BIFG model identifies flood-vulnerable zones in Chennai, highlighting Kodambakkam as the most susceptible area.
Area of Science:
- Graph Theory
- Fuzzy Mathematics
- Decision Science
Background:
- Traditional graph theory struggles with uncertain data.
- Bipolar intuitionistic fuzzy graphs (BIFG) extend fuzzy graphs for imprecise information.
- Covering, matching, and domination are key graph concepts needing adaptation for uncertainty.
Purpose of the Study:
- To define covering, matching, and domination concepts within BIFG framework.
- To develop novel approaches for these concepts when effective edges are absent.
- To apply BIFG for decision-making in real-world problems like disaster management.
Main Methods:
- Definition of covering, matching, and domination on BIFG using effective edges.
- Development of new methodologies for BIFG concepts without effective edges.
- Construction of a BIFG-based decision-making model for vulnerability assessment.
Main Results:
- Established definitions and theorems for covering, matching, and domination in BIFG.
- Successfully applied the BIFG model to identify flood-vulnerable zones in Chennai.
- Kodambakkam identified as the most susceptible zone based on the BIFG model.
- Demonstrated the model's efficiency through comparative analysis.
Conclusions:
- BIFG provides a robust framework for graph problems with uncertainty.
- The proposed BIFG model effectively identifies critical areas in disaster management.
- The study validates the superiority of the BIFG approach over existing methods.
Related Concept Videos
01:17Design Example: Analyzing Capacity Contours for Flood Risk Assessment
74
Flood risk assessment involves careful planning and analysis to ensure the safety of communities near water retention structures. Capacity contours are a vital tool in this process, as they illustrate the potential spread of water at specific levels in a given area. In the context of building a bund across a small valley, these contours play a critical role in evaluating the safety of nearby residential areas.In this example, the bund is intended to store stormwater in the valley. The engineers...
74
01:29Applications of GIS: Disaster Management and Emergency Response
116
Geographic Information System (GIS) technology is essential for risk identification, action prioritization, and resource optimization in critical situations like flooding and earthquakes. By integrating spatial and demographic data, GIS provides a comprehensive framework for emergency response.GIS integrates data layers, like rainfall intensity, topography, elevation profiles, and river levels, to model high-risk flood zones. These layers assess areas susceptible to flooding based on their...
116
01:37Reason and Intuition
6.5K
The human brain processes information for decision-making using one of two routes: an intuitive system and a rational system (Epstein, 1994; popularized by Kahneman, 2011 as System 1 and System 2, respectively). The intuitive system is quick, impulsive, and operates with minimal effort, relying on emotions or habits to provide cues for what to do next, while the rational system is logical, analytical, deliberate, and methodical. Research in neuropsychology suggests that the...
6.5K
01:09Decision Making: P-value Method
5.5K
The process of hypothesis testing based on the P-value method includes calculating the P- value using the sample data and interpreting it.
First, a specific claim about the population parameter is proposed. The claim is based on the research question and is stated in a simple form. Further, an opposing statement to the claim is also stated. These statements can act as null and alternative hypotheses: a null hypothesis would be a neutral statement while the alternative hypothesis can...
First, a specific claim about the population parameter is proposed. The claim is based on the research question and is stated in a simple form. Further, an opposing statement to the claim is also stated. These statements can act as null and alternative hypotheses: a null hypothesis would be a neutral statement while the alternative hypothesis can...
5.5K
01:20Decision Making
152
Decision-making is a fundamental cognitive process that involves evaluating alternatives and selecting among them. This process can range from simple choices, such as deciding what to wear, to complex decisions, like choosing a major in college or a career path. The complexity of the decision often dictates the approach we use, which can be broadly categorized into two types: automatic and controlled decision-making.
Automatic decision-making is fast, intuitive, and relies on gut feelings...
Automatic decision-making is fast, intuitive, and relies on gut feelings...
152
02:41Responses to Drought and Flooding
10.8K
Water plays a significant role in the life cycle of plants. However, insufficient or excess of water can be detrimental and pose a serious threat to plants.
10.8K