Identification of homogeneous rainfall regions using a genetic algorithm involving multi-criteria decision making techniques

2019 ◽  
Vol 19 (5) ◽  
pp. 1491-1499 ◽  
Author(s):  
Nilotpal Debbarma ◽  
Parthasarathi Choudhury ◽  
Parthajit Roy
Keyword(s):  
Genetic Algorithm ◽  
Decision Making ◽  
Goodness Of Fit ◽  
Regional Frequency Analysis ◽  
Eastern Region ◽  
Multi Criteria Decision Making ◽  
Frequency Distributions ◽  
The North ◽  
Homogeneous Regions ◽  
Regional Frequency

Abstract The detection of appropriate homogeneous regions is an important step in regional frequency analysis with the determination of homogeneity depending to a great extent on the type of method used in grouping. So, the study considers a genetic-algorithm-based clustering method to identify homogeneous precipitation regions for 39 gauge stations of the north-eastern region of India. The performance evaluation is done using six cluster validation measures. Further, considering all the six indices together, selection for the optimum cluster is modelled as a multi-criteria decision making (MCDM) problem. Three MCDM methods, namely TOPSIS, WASPAS and VIKOR, are applied to obtain ranked clusters which are then subjected to a heterogeneity test using the L-moments approach. The results suggested the stations to be grouped into three homogeneous regions. Comparison with the k-means method indicated relatively better performance for genetic-algorithm-based clustering. Finally, an L-moment ratio diagram and goodness-of-fit measures were conducted to select regional frequency distributions for the identified homogeneous regions.

scholarly journals ASSESSMENT OF THE REGIONAL FREQUENCY ANALYSIS TO THE ESTIMATION OF EXTREME STORM SURGES

2012 ◽  
Vol 1 (33) ◽  
pp. 27 ◽  
Author(s):  
Jérôme Weiss ◽  
Pietro Bernardara ◽  
Michel Benoit
Keyword(s):  
Frequency Analysis ◽  
Storm Surges ◽  
Regional Frequency Analysis ◽  
Dependence Structure ◽  
The North ◽  
Extreme Storm ◽  
Physically Based ◽  
Pairwise Dependence ◽  
Homogeneous Regions ◽  
Regional Frequency

Regional frequency analysis (RFA) is performed to estimate extreme storm surges along the French coasts of the Atlantic Ocean, the English Channel and the Southern part of the North Sea. An insight on the formation of physically homogeneous regions from a criterion of propagation of storms is provided. The treatment of the pairwise dependence structure within a given region through a spatial extreme value copula is also considered, leading to a model coupling physically-based RFA and spatial dependence to describe the probabilistic behavior of extreme storm surges.

Modeling Knowledge Employee’s Turnover Based on P-SVM

2010 ◽  
Vol 121-122 ◽  
pp. 825-831
Author(s):  
Yong Zhao ◽  
Ye Zheng Liu
Keyword(s):  
Genetic Algorithm ◽  
Decision Making ◽  
Model Development ◽  
Forecast Model ◽  
Support Vector ◽  
Multi Criteria Decision Making ◽  
Parameters Selection ◽  
Vector Machines ◽  
Decision Making Problem ◽  
Simulation Results

Knowledge employee’s turnover forecast is a multi-criteria decision-making problem involving various factors. In order to forecast accurately turnover of knowledge employees, the potential support vector machines(P-SVM) is introduced to develop a turnover forecast model. In the model development, a chaos algorithm and a genetic algorithm (GA) are employed to optimize P-SVM parameters selection. The simulation results show that the model based on potential support vector machine with chaos not only has much stronger generalization ability but also has the ability of feature selection.

scholarly journals Multi-Criteria Decision Making and Dempster-Shafer Model Based Delineation of Groundwater Prospect Zones From A Semi-Arid Environment

2021 ◽  
Author(s):  
Hemant Kumar Pandey ◽  
Vishal Kumar Singh ◽  
Sudhir Kumar Singh
Keyword(s):  
Decision Making ◽  
Drainage Density ◽  
Groundwater Potential ◽  
Groundwater Potential Zone ◽  
Groundwater Prospect ◽  
Potential Zone ◽  
Multi Criteria Decision Making ◽  
Groundwater Potential Zones ◽  
Ahp Model ◽  
The North

Abstract The present study illustrates the delineation of the groundwater potential zones in one of the most critical and drought affected areas under Bundelkhand region of Uttar Pradesh. Hydrological evaluations were carried out in district Mahoba using GIS tools and remote sensing data which ultimately yielded several thematic maps, such as lineament density, land use/land cover, drainage density, lithology, slope, geomorphology, wetness index (WTI), altitude and soil. CartoDEM data which have spatial resolution of 30m i.e. equivalent to one arc second were used to create digital elevation model, drainage density, altitude, WTI and slope. The thematic layers were assigned relative weightages as per their groundwater potential prospects under multi-criteria decision making (MCDM) method through analytical hierarchy process (AHP). To recognize the groundwater potential zone, weighted overlay analysis was performed using ArcMap software. Additionally, for testing of the Dempster-Shafer model, 16 borewells in high potential areas have been selected. Based on the probability of the groundwater occurrence, the belief factor was equated. Further combining the weighted layers, groundwater potential zones were obtained. The groundwater potential maps illustrate five zones having different potential in the Mahoba district. According to the AHP model the north-west side of the study area is characterized with very good potential zones whereas the north-east and south-east region constitute medium and poor groundwater potential zones respectively. It reflects that more than 50% of the area is having medium groundwater potential while 30 percent of the area falls under low potential zone. 10% of the study area falls under very good groundwater potential zones. According to the DS model, very high groundwater zones constitute only 7% and the remaining area falls under poor potential. Overall accuracy of the DS model was higher than AHP model.

scholarly journals Comparative Study of Regional Frequency Analysis and Traditional At-Site Hydrological Frequency Analysis

Water ◽  
2019 ◽  
Vol 11 (3) ◽  
pp. 486
Author(s):  
Mengrui Li ◽  
Xiaodong Li ◽  
Tianqi Ao
Keyword(s):  
Frequency Analysis ◽  
Return Period ◽  
Flood Control ◽  
Regional Frequency Analysis ◽  
Optimal Frequency ◽  
Frequency Curve ◽  
Design Values ◽  
Homogeneous Regions ◽  
Regional Frequency ◽  
Hydrological Frequency Analysis

Hydrological frequency analysis plays an indispensable role in the construction of national flood control projects. This study selects the stations with the smallest and largest discordances in the nine homogeneous regions of Sichuan Province as the representative stations, and results obtained by regional frequency analysis are compared with those obtained by traditional at-site hydrological frequency analysis. The results showed that the optimal frequency distribution of each representative station obtained by traditional at-site hydrological frequency analysis and the ones of corresponding homogeneous regions obtained by regional frequency analysis were not necessarily consistent, which was related to the site and homogeneous regions. At the same time, there were also differences between the fitting of the theoretical rainstorm frequency curve obtained by the two methods and the observation. In general, in each homogeneous region, the results obtained by regional frequency analysis and traditional at-site hydrological frequency analysis at the stations with the largest frequency analysis were quite different. The design values obtained by the two methods were also increasingly different with the increase of the return period. The study has specific reflections on the differences between regional frequency analysis and traditional at-site hydrological frequency analysis.

SISTEM PENDUKUNG KEPUTUSAN PEMILIHAN PERSONIL DITRESKRIMSUS BERPRESTASI MENERAPKAN METODE VIKOR (STUDI KASUS: POLDA SUMUT)

2018 ◽  
Vol 2 (1) ◽  
Author(s):  
Retnowati Sitanggang ◽  
Garuda Ginting
Keyword(s):  
Decision Making ◽  
Quality Improvement ◽  
Decision Support ◽  
Support System ◽  
Selection Process ◽  
Institutional Quality ◽  
Multi Criteria Decision Making ◽  
Vikor Method ◽  
The North ◽  
North Sumatra

The North Sumatra Police Board award team headed by the Deputy Chief of Police conducted the election of Ditreskrimsus personnel each month by giving awards to personnel / apparatuses who had real and extraordinary achievements whose results could be proud of and beneficial for the advancement of institutional quality improvement. Decision support systems or often referred to as Multi Criteria Decision Making (MCDM) function to carry out the selection process and assist someone in making accurate and targeted decisions. One method in the MCDM is Vlsekriterijumska Opimizacija I Kompromisno Resenje (VIKOR). Where this method is used to select more than one criterion and has advantages in compromising existing alternatives, then the best results selection process will be carried out, and can complete discretionary decision making. The purpose of this study is to apply the VIKOR method in making decision-making decisions for outstanding personnel in Ditreskrimsus.Keywords: decision support system, ditreskrimsus, vikor

scholarly journals Multi-Criteria Decision Making (MCDM) Model for Seismic Vulnerability Assessment (SVA) of Urban Residential Buildings

2018 ◽  
Vol 7 (11) ◽  
pp. 444 ◽  
Author(s):  
Mohsen Alizadeh ◽  
Mazlan Hashim ◽  
Esmaeil Alizadeh ◽  
Himan Shahabi ◽  
Mohammad Karami ◽  
...  
Keyword(s):  
Decision Making ◽  
Vulnerability Assessment ◽  
Seismic Vulnerability ◽  
Residential Buildings ◽  
Geographical Information ◽  
Urban Region ◽  
Multi Criteria Decision Making ◽  
Seismic Vulnerability Assessment ◽  
The North ◽  
Tabriz City

Earthquakes are among the most catastrophic natural geo-hazards worldwide and endanger numerous lives annually. Therefore, it is vital to evaluate seismic vulnerability beforehand to decrease future fatalities. The aim of this research is to assess the seismic vulnerability of residential houses in an urban region on the basis of the Multi-Criteria Decision Making (MCDM) model, including the analytic hierarchy process (AHP) and geographical information system (GIS). Tabriz city located adjacent to the North Tabriz Fault (NTF) in North-West Iran was selected as a case study. The NTF is one of the major seismogenic faults in the north-western part of Iran. First, several parameters such as distance to fault, percent of slope, and geology layers were used to develop a geotechnical map. In addition, the structural construction materials, building materials, size of building blocks, quality of buildings and buildings-floors were used as key factors impacting on the building’s structural vulnerability in residential areas. Subsequently, the AHP technique was adopted to measure the priority ranking, criteria weight (layers), and alternatives (classes) of every criterion through pair-wise comparison at all levels. Lastly, the layers of geotechnical and spatial structures were superimposed to design the seismic vulnerability map of buildings in the residential area of Tabriz city. The results showed that South and Southeast areas of Tabriz city exhibit low to moderate vulnerability, while some regions of the north-eastern area are under severe vulnerability conditions. In conclusion, the suggested approach offers a practical and effective evaluation of Seismic Vulnerability Assessment (SVA) and provides valuable information that could assist urban planners during mitigation and preparatory phases of less examined areas in many other regions around the world.

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