scholarly journals VisualUVAM: A Decision Support System Addressing the Curse of Dimensionality for the Multi-Scale Assessment of Urban Vulnerability in Spain

2019 ◽  
Vol 11 (8) ◽  
pp. 2191 ◽  
Author(s):  
Jorge Salas ◽  
Víctor Yepes
Keyword(s):  
Cluster Analysis ◽  
Vulnerability Assessment ◽  
Visual Analytics ◽  
Goodness Of Fit ◽  
Optimization Methods ◽  
Decision Makers ◽  
Decision Making Process ◽  
Multi Scale ◽  
Urban Vulnerability ◽  
And Cluster Analysis

Many-objective optimization methods have proven successful in the integration of research attributes demanded for urban vulnerability assessment models. However, these techniques suffer from the curse of the dimensionality problem, producing an excessive burden in the decision-making process by compelling decision-makers to select alternatives among a large number of candidates. In other fields, this problem has been alleviated through cluster analysis, but there is still a lack in the application of such methods for urban vulnerability assessment purposes. This work addresses this gap by a novel combination of visual analytics and cluster analysis, enabling the decision-maker to select the set of indicators best representing urban vulnerability accordingly to three criteria: expert’s preferences, goodness of fit, and robustness. Based on an assessment framework previously developed, VisualUVAM affords an evaluation of urban vulnerability in Spain at regional, provincial, and municipal scales, whose results demonstrate the effect of the governmental structure of a territory over the vulnerability of the assessed entities.

Grown Up Digital: Effect Social Media Usage on Consumer Behavior

2015 ◽  
Vol 21 (4) ◽  
pp. 1035-1038 ◽  
Author(s):  
Robertus Tang Herman
Keyword(s):  
Social Media ◽  
Cluster Analysis ◽  
Significant Contribution ◽  
Decision Making Process ◽  
Media Usage ◽  
Customer Involvement ◽  
The Social ◽  
And Cluster Analysis ◽  
And Behavior ◽  
Behavior Profiling

The social media now becomes more powerful for customer in decision making process and behavior. In reality, social media also has a significant contribution for customer because many information and recommendation provided by social media. Social media usage and customer involvement in social networking will affect the consumers’ opinion, interest and behavior. This paper aims to investigate consumer usage behavior and mapping consumers profile based on the social media used. This research used Factor Analysis and Cluster Analysis to identify and analyze the social media usage. The result describes a significant affect of social media on consumer usage. From cluster analysis show the different consumer’s behavior profiling based on their social media usage relate to their profile. There is three characteristic level of consumers based on result study and the characteristic describe the consumers profile based on the reason of using social media.

scholarly journals Visual Analytics for Dimension Reduction and Cluster Analysis of High Dimensional Electronic Health Records

Informatics ◽  
2020 ◽  
Vol 7 (2) ◽  
pp. 17 ◽  
Author(s):  
Sheikh S. Abdullah ◽  
Neda Rostamzadeh ◽  
Kamran Sedig ◽  
Amit X. Garg ◽  
Eric McArthur
Keyword(s):  
Cluster Analysis ◽  
Electronic Health Records ◽  
Dimension Reduction ◽  
Visual Analytics ◽  
Machine Learning Techniques ◽  
High Dimensional ◽  
Health Records ◽  
Wide Range ◽  
Electronic Health ◽  
And Cluster Analysis

Recent advancement in EHR-based (Electronic Health Record) systems has resulted in producing data at an unprecedented rate. The complex, growing, and high-dimensional data available in EHRs creates great opportunities for machine learning techniques such as clustering. Cluster analysis often requires dimension reduction to achieve efficient processing time and mitigate the curse of dimensionality. Given a wide range of techniques for dimension reduction and cluster analysis, it is not straightforward to identify which combination of techniques from both families leads to the desired result. The ability to derive useful and precise insights from EHRs requires a deeper understanding of the data, intermediary results, configuration parameters, and analysis processes. Although these tasks are often tackled separately in existing studies, we present a visual analytics (VA) system, called Visual Analytics for Cluster Analysis and Dimension Reduction of High Dimensional Electronic Health Records (VALENCIA), to address the challenges of high-dimensional EHRs in a single system. VALENCIA brings a wide range of cluster analysis and dimension reduction techniques, integrate them seamlessly, and make them accessible to users through interactive visualizations. It offers a balanced distribution of processing load between users and the system to facilitate the performance of high-level cognitive tasks in such a way that would be difficult without the aid of a VA system. Through a real case study, we have demonstrated how VALENCIA can be used to analyze the healthcare administrative dataset stored at ICES. This research also highlights what needs to be considered in the future when developing VA systems that are designed to derive deep and novel insights into EHRs.

scholarly journals Directional correlation coefficient measures for Pythagorean fuzzy sets: their applications to medical diagnosis and cluster analysis

2021 ◽  
Author(s):  
Mingwei Lin ◽  
Chao Huang ◽  
Riqing Chen ◽  
Hamido Fujita ◽  
Xing Wang
Keyword(s):  
Cluster Analysis ◽  
Fuzzy Sets ◽  
Correlation Coefficient ◽  
Correlation Coefficients ◽  
Disease Diagnosis ◽  
Decision Makers ◽  
Membership Degree ◽  
Pythagorean Fuzzy Sets ◽  
And Cluster Analysis ◽  
The Relationship

AbstractCompared to the intuitionistic fuzzy sets, the Pythagorean fuzzy sets (PFSs) can provide the decision makers with more freedom to express their evaluation information. There exist some research results on the correlation coefficient between PFSs, but sometimes they fail to deal with the problems of disease diagnosis and cluster analysis. To tackle the drawbacks of the existing correlation coefficients between PFSs, some novel directional correlation coefficients are put forward to compute the relationship between two PFSs by taking four parameters of the PFSs into consideration, which are the membership degree, non-membership degree, strength of commitment, and direction of commitment. Afterwards, two practical examples are given to show the application of the proposed directional correlation coefficient in the disease diagnosis, and the application of the proposed weighted directional correlation coefficient in the cluster analysis. Finally, they are compared with the previous correlation coefficients that have been developed for PFSs.

scholarly journals Drought Vulnerability Assessment and Cluster Analysis of Island Areas Taking Korean Island Areas at Eup (Town) and Myeon (Subcounty) Levels as Study Targets

Water ◽  
2021 ◽  
Vol 13 (24) ◽  
pp. 3657
Author(s):  
Intae Shim ◽  
Heejin Kim ◽  
Bongchang Hong ◽  
Jusuk An ◽  
Taemun Hwang
Keyword(s):  
Cluster Analysis ◽  
Vulnerability Assessment ◽  
Entropy Method ◽  
Policy Support ◽  
Small Island ◽  
Drought Vulnerability ◽  
Substantial Impact ◽  
Drought Assessment ◽  
Climate Exposure ◽  
And Cluster Analysis

The purpose of this study is to conduct drought vulnerability assessment and cluster analysis of Korean island areas at eup (town) myeon (subcounty) level. Drought vulnerability assessment was conducted using factor analysis and entropy method, and cluster analysis was analyzed using K-means, a nonhierarchical cluster analysis method. Vulnerability consisted of climate exposure, sensitivity, and adaptive capacity. Twenty-two indicators were used to evaluate and analyze vulnerability of drought in small island areas. The results of entropy method showed that winter rainfall, no rainfall days, agricultural population rate, cultivation area rate, water supply rate and groundwater capacity have a substantial impact on drought assessment. The overall assessment of vulnerability indicated that Seodo-myeon Ganghwa-gun, Seolcheon-myeon Namhae-gun, and Samsan-myeon Ganghwa-gun were most vulnerable to drought. The cluster analysis was evaluated by categorizing the regions into three clusters, and policy support and planning are needed to suit the characteristics of each cluster was observed.

The limit of the contemporary financial system in Russia

2020 ◽  
Vol 16 (7) ◽  
pp. 1223-1245
Author(s):  
V.V. Smirnov
Keyword(s):  
Cluster Analysis ◽  
Foreign Currency ◽  
Financial System ◽  
Descriptive Statistics ◽  
High Tech ◽  
Monetary Aggregate ◽  
Internal System ◽  
Monetary Relations ◽  
And Cluster Analysis ◽  
Structural Preservation

Subject. The article focuses on the modern financial system of Russia. Objectives. I determine the limit of the contemporary financial system in Russia. Methods. The study is based on methods of descriptive statistics, statistical and cluster analysis. Results. The article shows the possibility of determining the scope of the contemporary financial system in Russia by establishing monetary relations as the order of the internal system and concerted operation of subsystems, preserving the structure of the financial system, maintaining the operational regime, implementing the program and achieving the goal. I found that the Russian financial system correlated with the Angolan one, and the real scope of the contemporary financial system in Russia. Conclusions and Relevance. As an attempt to effectively establish monetary relations and manage them, the limit of the contemporary financial system is related to the possibility of using Monetary Aggregate M0 to maintain the balance of the Central Bank of Russia. To overcome the scope of Russia’s financial system, the economy should have changed its specialization, refocusing it on high-tech export and increasing the foreign currency reserves. This can be done if amendments to Russia’s Constitution are adopted. The findings expand the scope of knowledge and create new competence in the establishment of monetary relations, order of the internal system and concerted interaction of subsystems, structural preservation of the financial system and maintenance of its operational regime.

strategi dalam pengambilan keputusan

2019 ◽  
Author(s):  
Suci Handayani Handayani ◽  
Hade Afriansyah
Keyword(s):  
Decision Making ◽  
Imperfect Information ◽  
Economic Value ◽  
Decision Makers ◽  
Decision Making Process ◽  
Administrative Process ◽  
Left Behind ◽  
Information Time ◽  
Complex Matter ◽  
General Individuals

Decision making is one element of economic value, especially in the era of globalization, and if it is not acceptable in the decision making process, we will be left behind. According to Robins, (2003: 173), Salusu, (2000: 47), and Razik and Swanson, (1995: 476) say that decision making can be interpreted as a process of choosing a number of alternatives, how to act in accordance with concepts, or rules in solving problems to achieve individual or group goals that have been formulated using a number of specific techniques, approaches and methods and achieve optimal levels of acceptance.Decision making in organizations whether a decision is made for a person or group, the nature of the decision is often determined by rules, policies, prescribed, instructions that have been derived or practices that apply. To understand decision making within the organization it is useful to view decision making as part of the overall administrative process. In general, individuals tend to use simple strategies, even if in any complex matter, to get the desired solution, because the solution is limited by imperfect information, time and costs, limited thinking and psychological stress experienced by decision makers.

Sign in / Sign up

Export Citation Format

Share Document