scholarly journals Challenge for Planning by Using Cluster Methodology: The Case Study of the Algarve Region

2020 ◽  
Vol 12 (4) ◽  
pp. 1536 ◽  
Author(s):  
David Bienvenido-Huertas ◽  
Fátima Farinha ◽  
Miguel José Oliveira ◽  
Elisa M. J. Silva ◽  
Rui Lança
Keyword(s):  
Decision Making ◽  
Cluster Analysis ◽  
Data Analysis ◽  
Subject Area ◽  
Environmental Indicators ◽  
Sustainability Indicators ◽  
Analysis Approach ◽  
Data Set ◽  
Indicator Approach

This study analyses the most appropriate methodology to make similarity classifications among the cities of the Algarve (Portugal) according to 105 sustainability indicators monitored with the Observatory of Sustainability of the Algarve Region for Tourism (OBSERVE). The methodology used to establish the similarities was the cluster analysis with 4 different approaches which reduced the dimensions of the data set: total approach, pillar approach, subject area approach, and indicator approach. By combining the approaches, a total of 620 different cluster analyses were performed. The results reflected that the data analysis approaches with less dimensions were those that performed the best groups among cities. In this sense, the approaches with a high number of indicators (e.g., the total or the pillar approach) were characterised by misclassifying cities in more than 30% of the indicators. Thus, the most acceptable cluster analysis approach was that with a low number of indicators. Through this approach, it was possible to make correct groups of the sustainability level of the cities of the Algarve. These results provided an appropriate methodology for the decision-making regarding the sustainability of a region and could be extrapolated to other regions to assess sustainability or environmental indicators.

Decision Making To Assess The Maturity Dimensions of MSME Using A Data Analysis Approach

2021 ◽  
Author(s):  
Lena Magdalena ◽  
R. Rizal Isnanto ◽  
Adi Wibowo ◽  
Budi Warsito
Keyword(s):  
Decision Making ◽  
Data Analysis ◽  
Analysis Approach

scholarly journals AKUNTABILITAS PENGELOLAAN DANA DESA DALAM UPAYA PEMBANGUNAN DI DESA SAJANG KECAMATAN SEMBALUN

2020 ◽  
Vol 6 (2) ◽  
pp. 119
Author(s):  
Baiq hanita Septiani Audia ◽  
Indah Ariffianti ◽  
Baiq Desthania Prathama
Keyword(s):  
Data Analysis ◽  
Descriptive Analysis ◽  
Analysis Approach ◽  
Fund Management ◽  
Accountability System ◽  
Planning Implementation

This study aims to determine the Accountability of village fund Management to improvedevelopment in Sajang Village, Sembalun District, which consists of five stages, namelyPlanning, Implementation, administration, reporting and accaountability.This type of research isa case study using a descriptive analysis approach. In this study, the techniques of datacollection use are interviews, questionnaires and documentatation. The data analysis techniqueuse in this study is a quanlitative descriptive analysis technique.The results of this study indicatethat the planning, implementation, reporting, administration and accountability system ofaccountability has applied the principle of accountability. Thia is evidenced from the results ofinterviews with documentation and questionnaires.

A Model for Make-or-Buy Decisions in Engineering Design Services Sector: A Case Study from Turkey

2018 ◽  
Vol 15 (04) ◽  
pp. 1850038
Author(s):  
Z. Aytan Ediz ◽  
M. Atilla Öner ◽  
Y. Can Erdem ◽  
Nesimi Kaplan
Keyword(s):  
Decision Making ◽  
Cluster Analysis ◽  
Engineering Design ◽  
Administrative Support ◽  
Social Dynamics ◽  
Successful Implementation ◽  
Cluster Membership ◽  
Services Sector ◽  
Engineering Company

Make-or-buy decision is an important factor affecting the profitability of the firms in all sectors. The goal of this study is to propose a model for firms in engineering design services sector for make-or-buy decisions. A survey was conducted to determine the importance percentages given in an engineering company in make-or-buy decisions and a model was developed. The results of the case study show intriguing clusters of company personnel. As the lack of consensus among company managers and personnel may inhibit the successful implementation of the developed strategy, we use K-Means Clustering to determine the different perspectives of different groups of employees (managers, senior engineers, junior engineers, technical and administrative support personnel) which may contribute to the understanding of social dynamics of decision making within the company. 4-cluster and 5-cluster analysis results indicate the need for further study on the dynamics of cluster membership.

A Hybrid Method for Prediction and Assessment Efficiency of Decision Making Units

2013 ◽  
Vol 5 (1) ◽  
pp. 66-83 ◽  
Author(s):  
Iman Rahimi ◽  
Reza Behmanesh ◽  
Rosnah Mohd. Yusuff
Keyword(s):  
Data Mining ◽  
Decision Making ◽  
Decision Rules ◽  
Large Data ◽  
Poultry Meat ◽  
Small Data ◽  
Data Set ◽  
Data Mining Techniques ◽  
Decision Making Units

The objective of this article is an evaluation and assessment efficiency of the poultry meat farm as a case study with the new method. As it is clear poultry farm industry is one of the most important sub- sectors in comparison to other ones. The purpose of this study is the prediction and assessment efficiency of poultry farms as decision making units (DMUs). Although, several methods have been proposed for solving this problem, the authors strongly need a methodology to discriminate performance powerfully. Their methodology is comprised of data envelopment analysis and some data mining techniques same as artificial neural network (ANN), decision tree (DT), and cluster analysis (CA). As a case study, data for the analysis were collected from 22 poultry companies in Iran. Moreover, due to a small data set and because of the fact that the authors must use large data set for applying data mining techniques, they employed k-fold cross validation method to validate the authors’ model. After assessing efficiency for each DMU and clustering them, followed by applied model and after presenting decision rules, results in precise and accurate optimizing technique.

scholarly journals Software implementation of the main cluster analysis tools

2021 ◽  
Vol 10 (47) ◽  
pp. 81-92
Author(s):  
Andrey V. Silin ◽  
Olga N. Grinyuk ◽  
Tatyana A. Lartseva ◽  
Olga V. Aleksashina ◽  
Tatiana S. Sukhova
Keyword(s):  
Cluster Analysis ◽  
Data Analysis ◽  
Nearest Neighbor ◽  
Clustering Algorithms ◽  
Point Of View ◽  
Software Implementation ◽  
Practical Significance ◽  
Data Set ◽  
Main Cluster ◽  
Analysis Tools

This article discusses an approach to creating a complex of programs for the implementation of cluster analysis methods. A number of cluster analysis tools for processing the initial data set and their software implementation are analyzed, as well as the complexity of the application of cluster data analysis. An approach to data is generalized from the point of view of factual material that supplies information for the problem under study and is the basis for discussion, analysis and decision-making. Cluster analysis is a procedure that combines objects or variables into groups based on a given rule. The work provides a grouping of multivariate data using proximity measures such as sample correlation coefficient and its module, cosine of the angle between vectors and Euclidean distance. The authors proposed a method for grouping by centers, by the nearest neighbor and by selected standards. The results can be used by analysts in the process of creating a data analysis structure and will improve the efficiency of clustering algorithms. The practical significance of the results of the application of the developed algorithms is expressed in the software package created by means of the C ++ language in the VS environment.

scholarly journals The mental map as an instrument to define indicators in complex systems: an application on the environmental knowledge of local horticultural farmers

2022 ◽  
Vol 60 (1) ◽  
Author(s):  
María Luz Blandi ◽  
Natalia Agustina Gargoloff ◽  
María José Iermanó ◽  
María Fernanda Paleologos ◽  
Santiago Javier Sarandón
Keyword(s):  
Decision Making ◽  
Complex Systems ◽  
Green Revolution ◽  
Sustainability Indicators ◽  
Environmental Knowledge ◽  
Units Of Analysis ◽  
Mental Map ◽  
Local Environmental Knowledge ◽  
Two Stages

Abstract: The reductionist and disciplinary paradigm of the Green Revolution coexists with the emerging paradigm of complexity, which values the holistic and the interdisciplinary. Agroecology promotes the need to understand the multiple biophysical relationships that exist in agroecosystems, and this calls for the development of new methodological tools. Sustainability indicators are an example of this. However, their implementation is not simple, as this requires an instrument to simplify the construction of such indicators. The objective of this work is to use the “mental map” as a guide for the development and application of indicators. The graph follows the conceptual path that facilitates the understanding of the variable and its breakdown into smaller and measurable units of analysis, i.e. the indicators. The created mental map has two stages: the development of indicators and their application. Its utility is presented in a case study that addresses local environmental knowledge (LEK). The results of this work show that complexity can be translated into quantifiable, measurable, and comparable variables, without this representing the loss of its characteristics. In addition, it proves that the created tool facilitates the evaluation and understanding of the functioning of agroecosystems, which contributes to decision-making.

scholarly journals An Evolutionary and Visual Framework for Clustering of DNA Microarray Data

2013 ◽  
Vol 10 (3) ◽  
pp. 51-65
Author(s):  
José A. Castellanos-Garzón ◽  
Fernando Díaz
Keyword(s):  
Genetic Algorithm ◽  
Cluster Analysis ◽  
Dna Microarray ◽  
Microarray Data ◽  
The Other ◽  
Visualization Tool ◽  
Data Set ◽  
Dna Microarray Data ◽  
Cluster Visualization

Summary This paper presents a case study to show the competence of our evolutionary and visual framework for cluster analysis of DNA microarray data. The proposed framework joins a genetic algorithm for hierarchical clustering with a set of visual components of cluster tasks given by a tool. The cluster visualization tool allows us to display different views of clustering results as a means of cluster visual validation. The results of the genetic algorithm for clustering have shown that it can find better solutions than the other methods for the selected data set. Thus, this shows the reliability of the proposed framework.

Due diligence: Plantation Shutters®, South Africa

2017 ◽  
Vol 7 (2) ◽  
pp. 1-19
Author(s):  
Margie Sutherland ◽  
Hayley Pearson ◽  
Greg Fisher
Keyword(s):  
South Africa ◽  
Decision Making ◽  
Learning Outcomes ◽  
Subject Area ◽  
Management Competencies ◽  
Content Type ◽  
General Management ◽  
Sales Company ◽  
Decision Making Processes

Subject area Company turnaround, General Management. Study level/applicability Executive education, MBA. Case overview This is a four-part case study in which the case of a company turnaround emerges as the students work through a series of decision-making processes. In teaching the case, the students would only be given Part A to begin with, about which they need to make decisions as to what they would do, as preparation for the first part of the lecture. After that has been discussed, they are provided with the second part which tells them what in fact happened in the situation and leads them to the next decision point, and so on. The case deals with an entrepreneur hearing about a business that has gone insolvent; it then tracks the process from investigating the small manufacturing and sales company through the various stages of its subsequent remarkable turnaround to the point where the protagonist was voted Entrepreneur of the Year in South Africa. It covers the period 2007 to 2012 and includes the annual financial statements. Expected learning outcomes Following are the expected learning outcomes: an understanding of the broad range of management competencies; an understanding of how to turnaround a small organisation; and to experience group-based decision-making. Supplementary materials Teaching notes are available for educators only. Please contact your library to gain login details or email [email protected] to request teaching notes. Subject code CSS 11: Strategy.

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