Student performance assessment using clustering techniques

The application of informatics in the university system management allows managers to count with a great amount of data which, rationally treated, can offer significant help for the student programming monitoring. This research proposes the use of clustering techniques as a useful tool of management strategy to evaluate the progression of the students’ behavior by dividing the population into homogeneous groups according to their characteristics and skills. These applications can help both the teacher and the student to improve the quality of education. The selected method is the data grouping analysis by means of fuzzy logic using the Fuzzy C-means algorithm to achieve a standard indicator called Grade, through an expert system to enable segmentation.Universidad de la Costa, 2 Universidad Nacional Experimental Politécnica “Antonio José de Sucre”, Universidad Simón Bolívar, Corporación Universitaria Latinoamericana, Corporación Universitaria Minuto de Dios

Inspection process for dimensioning through images and fuzzy logic

This paper presents a hybrid methodology based on a type 1 fuzzy model in singleton version using a 2k factorial design that optimizes the model of the expert system and serves to perform in-line inspection. The factorial design method provides the required database for the creation of the rule base for the fuzzy model and also generates the database to train the expert system. The proposed method was validated in the process of verifying dimensional parameters by means of images compared with the ANFIS and RBFN models which show greater margins of error in the approximation of the function represented by the system compared with the proposed model. The results obtained show that the model has an excellent performance in the prediction and quality control of the industrial process studied when compared with similar expert system techniques as ANFIS and RBFN

Innovación de la gestión del talento humano

El programa de esta asignatura, fortalece la innovación de la gestión del talento humano y competitividad humana, representando originales formas de organización del talento humano partiendo de la gestión por competencias y la organización de las compensaciones A partir del desarrollo de la asignatura se logrará lo planeado con prácticas innovadoras, para ello, se alinean los propósitos tanto del colaborador como el de la organización, consolidando integralmente las metas empresariales de intereses en común concertados, mediado por los subsistemas de: provisión, organización, mantenimiento, desarrollo y auditoria. Ubicando estratégicamente al talento humano en puestos medulares de acuerdo a sus competencias, involucrando activamente a su personal en la cadena socio productivo, generado valor agregado, garantizando la optimización sistémica de los recursos: humanos, físicos y económicos. Todo esto impacta la fidelización de sus clientes, capacidad relacional con sus redes corporativas, stakeholder, clúster, y atracción de nuevos talentos que buscan la gestión de conocimiento

Enablers to implement sustainable initiatives in agri-food supply chains

yesDue to rapid agricultural industrialization, increased global food demand, and, increasing concerns related to food quality and safety, the concepts of sustainability and supply chain transparency are becoming critically important to the agriculture and agri-food sector. The new focus on sustainability performance objectives emphasizes the effective utilization and consumption of natural resources to balance ecological, economic and societal aspects of agri-food businesses. The management of sustainability adds a new demand on business managers who often have small profits and receive stringent requirements from large powerful customers and retailers. In this paper, we recognize and analyze the key enablers in implementing sustainable initiatives for Agri-Food Supply Chains (A-FSCs). Ten important sustainability driven enablers were considered from a rigorous literature review and phase of expert consultation. The identified enablers were then analyzed using a combined Interpretive Structural Modeling (ISM) - fuzzy Decision Making Trial and Evaluation Laboratory (DEMATEL) based framework. The ISM approach enabled an appreciation of the contextual relationships among the enablers and to classify the enablers based on their driving and dependence potential. The fuzzy DEMATEL technique supported the determination of the influential and influenced enablers and also to categorize them into cause and effect groups. An empirical case study, drawn from a vegetable and fruit retail supply chain in India, is used to focus and test the applicability of the proposed research framework. The paper facilitates professional management practice and researchers to uncover and explore the enablers for the real execution of sustainability oriented initiatives in the agri-food business sector

Fuzzy Logic in Decision Support: Methods, Applications and Future Trends

During the last decades, the art and science of fuzzy logic have witnessed significant developments and have found applications in many active areas, such as pattern recognition, classification, control systems, etc. A lot of research has demonstrated the ability of fuzzy logic in dealing with vague and uncertain linguistic information. For the purpose of representing human perception, fuzzy logic has been employed as an effective tool in intelligent decision making. Due to the emergence of various studies on fuzzy logic-based decision-making methods, it is necessary to make a comprehensive overview of published papers in this field and their applications. This paper covers a wide range of both theoretical and practical applications of fuzzy logic in decision making. It has been grouped into five parts: to explain the role of fuzzy logic in decision making, we first present some basic ideas underlying different types of fuzzy logic and the structure of the fuzzy logic system. Then, we make a review of evaluation methods, prediction methods, decision support algorithms, group decision-making methods based on fuzzy logic. Applications of these methods are further reviewed. Finally, some challenges and future trends are given from different perspectives. This paper illustrates that the combination of fuzzy logic and decision making method has an extensive research prospect. It can help researchers to identify the frontiers of fuzzy logic in the field of decision making

The Goal Programming as a Tool for Measuring the Sustainability of Agricultural Production Chains of Rice

Agricultural activity is characterized by an intensive use of capital and a considerable dependence on external financing. Access to credit is often limited by the scarcity of resources and lack of guarantees, seriously affecting the productivity and economic performance of agricultural exploitations. The objective of this paper is to assess the sustainability of agricultural production chain of rice in Latin America using multi-criteria analysis tools to facilitate decision-making through a benchmarking process to contribute to their economic sustainability. The implementation of the model in an exploitation typy depending on financing sources (conservative, intermediate, and innovative) has revealed the conflict between the goals, being the intermediate exploitation, which gets the best results. The conclusions show that the flexibilization of financing options positively affects the economic performance

A Hybrid Fuzzy Multi-criteria Decision Making Model to Evaluate the Overall Performance of Public Emergency Departments: A Case Study

[EN] Performance evaluation is relevant for supporting managerial decisions related to the improvement of public emergency departments (EDs). As different criteria from ED context and several alternatives need to be considered, selecting a suitable Multicriteria Decision-Making (MCDM) approach has become a crucial step for ED performance evaluation. Although some methodologies have been proposed to address this challenge, a more complete approach is still lacking. This paper bridges this gap by integrating three potent MCDM methods. First, the Fuzzy Analytic Hierarchy Process (FAHP) is used to determine the criteria and sub-criteria weights under uncertainty, followed by the interdependence evaluation via fuzzy Decision-Making Trial and Evaluation Laboratory(FDEMATEL). The fuzzy logic is merged with AHP and DEMATEL to illustrate vague judgments. Finally, the Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) is used for ranking EDs. This approach is validated in a real 3-ED cluster. The results revealed the critical role of Infrastructure (21.5%) in ED performance and the interactive nature of Patient safety (C+R =12.771). Furthermore, this paper evidences the weaknesses to be tackled for upgrading the performance of each ED.Ortiz-Barrios, M.; Alfaro Saiz, JJ. (2020). A Hybrid Fuzzy Multi-criteria Decision Making Model to Evaluate the Overall Performance of Public Emergency Departments: A Case Study. International Journal of Information Technology & Decision Making. 19(6):1485-1548. https://doi.org/10.1142/S0219622020500364S14851548196Lord, K., Parwani, V., Ulrich, A., Finn, E. B., Rothenberg, C., Emerson, B., … Venkatesh, A. K. (2018). Emergency department boarding and adverse hospitalization outcomes among patients admitted to a general medical service. The American Journal of Emergency Medicine, 36(7), 1246-1248. doi:10.1016/j.ajem.2018.03.043Sørup, C. M., Jacobsen, P., & Forberg, J. L. (2013). 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Applied Soft Computing, 68, 249-267. doi:10.1016/j.asoc.2018.04.004Frazão, T. D. C., Camilo, D. G. G., Cabral, E. L. S., & Souza, R. P. (2018). Multicriteria decision analysis (MCDA) in health care: a systematic review of the main characteristics and methodological steps. BMC Medical Informatics and Decision Making, 18(1). doi:10.1186/s12911-018-0663-1Ortiz-Barrios, M. A., Herrera-Fontalvo, Z., Rúa-Muñoz, J., Ojeda-Gutiérrez, S., De Felice, F., & Petrillo, A. (2018). An integrated approach to evaluate the risk of adverse events in hospital sector. Management Decision, 56(10), 2187-2224. doi:10.1108/md-09-2017-0917Al Salem, A. A., & Awasthi, A. (2018). Investigating rank reversal in reciprocal fuzzy preference relation based on additive consistency: Causes and solutions. Computers & Industrial Engineering, 115, 573-581. doi:10.1016/j.cie.2017.11.027Aires, R. F. de F., & Ferreira, L. (2019). A new approach to avoid rank reversal cases in the TOPSIS method. Computers & Industrial Engineering, 132, 84-97. doi:10.1016/j.cie.2019.04.023Emrouznejad, A., & Yang, G. (2018). A survey and analysis of the first 40 years of scholarly literature in DEA: 1978–2016. Socio-Economic Planning Sciences, 61, 4-8. doi:10.1016/j.seps.2017.01.008Arya, A., & Yadav, S. P. (2017). Development of FDEA Models to Measure the Performance Efficiencies of DMUs. International Journal of Fuzzy Systems, 20(1), 163-173. doi:10.1007/s40815-017-0325-yMufazzal, S., & Muzakkir, S. M. (2018). A new multi-criterion decision making (MCDM) method based on proximity indexed value for minimizing rank reversals. Computers & Industrial Engineering, 119, 427-438. doi:10.1016/j.cie.2018.03.045Kaliszewski, I., & Podkopaev, D. (2016). Simple additive weighting—A metamodel for multiple criteria decision analysis methods. Expert Systems with Applications, 54, 155-161. doi:10.1016/j.eswa.2016.01.042Mousavi-Nasab, S. H., & Sotoudeh-Anvari, A. (2018). A new multi-criteria decision making approach for sustainable material selection problem: A critical study on rank reversal problem. Journal of Cleaner Production, 182, 466-484. doi:10.1016/j.jclepro.2018.02.062Chen, Z., Ming, X., Zhang, X., Yin, D., & Sun, Z. (2019). A rough-fuzzy DEMATEL-ANP method for evaluating sustainable value requirement of product service system. Journal of Cleaner Production, 228, 485-508. doi:10.1016/j.jclepro.2019.04.145Jumaah, F. M., Zadain, A. A., Zaidan, B. B., Hamzah, A. K., & Bahbibi, R. (2018). Decision-making solution based multi-measurement design parameter for optimization of GPS receiver tracking channels in static and dynamic real-time positioning multipath environment. Measurement, 118, 83-95. doi:10.1016/j.measurement.2018.01.011Singh, A., & Prasher, A. (2017). Measuring healthcare service quality from patients’ perspective: using Fuzzy AHP application. 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Crafting Democracy : Civil Society in Post-Transition Honduras

Civil society is frequently singled out as one of the most important factors in the democratization process, but existing research is often imprecise with regard to civil society’s relation to democratic development. This study analyzes how, and under what circumstances, civil society can contribute to democratic development in newly established democracies. A conceptual framework is outlined that draws attention to civil society’s multiple democracy–building functions and how they are constrained by the political context, the impact of development assistance and the degree of democracy within civil society. The empirical focus here is on a newly established democracy – Honduras – a country that initiated a transition to democracy in 1980. The present study shows how civil society organizations initially played a relatively limited role in the regime-controlled transition, but eventually reacted against the worsening human rights situation. In the post-transition period, civil society has emerged as an important agenda setter that has drawn attention to democratic deficits, as an educator for civic education of the mass public as well as the political elite, as a source of new political alternatives that has managed to bridge the gap between political society and civil society, and finally, as a counterpart of the government, particularly in development-related areas. Whereas civil society’s function during the transition is best described as a countervailing power that can, if it is democratic in its orientations, promulgate a democratic orientation of reforms, the functions in the post-transition period are best conceptualized as a complex mix of state-supporting and countervailing powers. The study concludes that the political context is crucial for our understanding of civil society’s democracy-building potential. Through different mechanisms, the Honduran state has managed to control civil society organizations, something that has a negative impact on civil society’s countervailing power, and this tendency has been visible during authoritarian rule as well as after the transition to democratic rule. Thus, examining the historical state-society relations can improve our understanding of civil society and its democracy-building potential. The attempts to control or co-opt civil society can be reinforced by the donor community’s efforts to strengthen civil society. Democracy-promoting strategies can, consequently, result in an undermined countervailing power of civil society

WHEN POLICY MEETS POLITICS: BORDER DEVELOPMENT AND INTEGRATION IN CENTRAL AMERICA

This research explores new dynamics of integration in Central America through studying the implementation of cross-border development policies. By implementing development policies at the border level, local communities from different countries engage in new forms of social, political and economic cooperation with each other. Therefore, this research explores the causal conditions that .are either necessary or sufficient to create cross-border development policies in Central America. The study included macro and micro context analysis of 20 cities (paired in 10 dyads or cases) across six countries. Furthermore, the research used fuzzy-set Qualitative Comparative Analysis (fs/QCA) in the two-step approach to explain the existence of cross-border development policies. By analyzing cross-border cooperation at two levels, the research found that cross-border policies are created when background contexts (remote conditions) and proximate factors (proximate conditions) interact with each other. Two background or \u201coutcome-enabling\u201d conditions were found in the first-step analysis. Six causal paths were found in the second-step analysis as the result of combining both remote and proximate conditions, complying with the rules of equifinality and conjunctural causation in the two-step approach. The results of the research show that specific political configurations at the macro level are necessary to implement certain types of policies at the border level. This is the area where policy meets politics

A Climate Change Vulnerability Assessment among Small Farmers: A Case Study in Western Honduras

Climate change is now affecting every known society. Small farmers in Low Income Countries (LICs) are especially vulnerable to climate change patterns because they depend heavily on rain, seasonality patterns, and known temperature ranges. To help build climate change resilient communities among rural farmers, the first step is to understand the impact of climate change on the population. This dissertation aims to use information and communication technology (ICT) to assess climate change vulnerabilities among rural farmers. To achieve this overall goal, this dissertation first proposes a comprehensive Climate Change Vulnerability Assessment Framework (CCVAF) that integrates both community level and individual household level indicators. The CCVAF was instantiated into a GIS-based web application named THRIVE for different decision makers to better assess how climate change is affecting rural farmers in Western Honduras. Qualitative evaluation of the THRIVE showed that it is an innovative and useful tool. The CCVAF and its instantiation provides an important initial step towards building climate change resilience among rural farmers. It is the first attempt to provide a comprehensive set of the indicators with related measurements and data sources for climate change vulnerability assessment. The framework thus contributes to the knowledge base of the climate change vulnerability assessment. It also contributes to the design science literature by providing guidelines to design a class of climate change vulnerability assessment solutions. To the best of our knowledge, the CCVAF is the first generalizable artifact that can be used to build a group of ICT-based climate change vulnerability assessment solutions. Another knowledge contribution of this dissertation is its reproducibility by making the input and output data available to the research and practitioner community through a GeoHub. For practical contributions, the framework can be easily used by researchers and practitioners to consistently design a vulnerability assessment tool, starting with the set of indicators organized by the three-level determinants, and following specific spatial data analysis and models. Such an ICT-based tool adds practical values to tackle climate change challenges