Search results for "Rankin"

94P ESCAT ranking of genomic alterations collected in the Italian Registry of Actionable Mutations

2021

Open government data portal usability: A user-centred usability analysis of 41 open government data portals

2021

Abstract Open government data, as a phenomena, may be considered an important and influential innovation that has the potential to drive the creation of public value via enabling the prevention of corruption, increase in accountability and transparency, and driving the co-creation of new and innovative services. However, in order for open government data to be fully taken advantage of, it must be found, understood, and used. Though many countries maintain open government data portals, the usability of said portals can vary greatly; this is important to understand as the usability of a portal likely impacts the eventual reuse of the data made available there. Acknowledging the importance of …

An Analytic Hierachy Process for Ranking Operating Costs of Low Cost and Full Service Airlines

2009

This paper develops an application of the analytic hierarchy process to rank the operating cost components of full service and low cost airlines. It takes into account the financial balance sheets and answers to a questionnaire submitted to the managers of selected airlines. The results suggest that the analytic hierarchy process can be appropriately used to obtain the ranking of the costs taking into account different views: financial, management and operative. Rental, office equipment and other supplies costs show the highest importance in the cost ranking, both for full services and low cost airlines. The robustness of the results is tested by Monte Carlo analysis.

On the importance of perspective and flexibility for efficiency measurement: effects on the ranking of decision-making units

2017

[EN] The efficiency of a firm can be assessed from several perspectives and using a variety of methodologies. Data envelopment analysis (DEA) is one of the most commonly used methodologies. Conventional DEA analyses or models allow one to classify decision-making units (DMUs) into efficient and inefficient ones based on their efficiency scores, which could also be used for ranking DMUs; however, such rankings generally show many ties. Super-efficiency DEA analyses have been proposed to address the tie issue. On the other hand, conventional DEA analyses only take account of a single perspective in estimating efficiency scores. Cross-efficiency DEA analyses provide an alternative that takes a…

Comparing Boosting and Bagging for Decision Trees of Rankings

2021

AbstractDecision tree learning is among the most popular and most traditional families of machine learning algorithms. While these techniques excel in being quite intuitive and interpretable, they also suffer from instability: small perturbations in the training data may result in big changes in the predictions. The so-called ensemble methods combine the output of multiple trees, which makes the decision more reliable and stable. They have been primarily applied to numeric prediction problems and to classification tasks. In the last years, some attempts to extend the ensemble methods to ordinal data can be found in the literature, but no concrete methodology has been provided for preference…

Multicriteria Decision Analysis for Choosing the Remediation Method for a Landfill Based on Mixed Ordinal and Cardinal Information

2009

We describe a real-life application of a multicriteria method in the context of remediating a landfill in Finland. The landfill was used for dumping industrial waste during the years 1950 to 1965. During that time many harmful chemicals were stored in landfills among other waste. Therefore, this—and possibly several other—landfills have to be remediated. In this application, seven different remediation options were evaluated based on 13 criteria. For some criteria, cardinal measures with associated uncertainties were obtained. For other criteria, only ordinal (ranking) information was available. The problem was analyzed using the Stochastic Multicriteria Acceptability Analysis with Ordinal …

Coupling salinity gradient heat engines with power generation systems and industrial processes

2022

Abstract This chapter presents some potential applications of salinity gradient power-heat engines (SGP-HEs) in power generation systems and industrial processes, where low-temperature waste heat flows could be available. In order to show this concept, five case studies are proposed. In the first case study, a thermoelectric power plant is considered. The analysis evaluates the possibility to convert the low-grade heat content of flue gases into additional electricity via SGP-HEs. In the second case study, an SGP-HE is coupled with an organic Rankine cycle (ORC) plant to enhance the amount of electricity produced from a medium-temperature waste heat flow released by an industrial process. I…

Technical and economical feasibility of biomass use for power generation in Sicily

2012

Biomass can provide a reliable support for production ofbiofuels while contributing to sustainable management of natural resources. Many countries, including Italy, have introduced important incentive schemes to support the use of biomass for electricity, heat and transportation. This has raised considerable interest towards the use of biomass for energy generation purposes. Nonetheless, the design and installation ofbiomass-fuelled power plants present several critical issues, such as choice and availability of biomass, choice of technology, power plant localization and logistics. The case study tackled in this paper evaluates the economies originated by a 1MW el Organic Rankine Cycle (ORC…

Exergetic and exergoeconomic analysis of a novel hybrid solar-geothermal polygeneration system producing energy and water

2016

Abstract A dynamic simulation model of a novel solar–geothermal polygeneration system and the related exergetic and exergoeconomic analyses are presented in this paper. The plant is designed in order to supply electrical, thermal and cooling energy and fresh water for a small community, connected to a district heating and cooling network. The hybrid system is equipped with an Organic Rankine Cycle fueled by medium-enthalpy geothermal energy and by a Parabolic Trough Collector solar field. Geothermal brine is also used for space heating and cooling purposes. Finally, geothermal fluid supplies heat to a Multi-Effect Distillation unit, producing also desalinized water from seawater. Dynamic si…

Cursos en línea masivos y abiertos en educación superior. Un análisis desde su oferta

2016

Purpose: The aim of this study is to analyze the factors influencing the MOOC supply level. Specifically, this paper analyzes certain internal and strategic factors associated with universities, such as prestige, public or private status, age, size (measured by the number of faculty members or students) and region. Design/methodology: We apply a descriptive methodology and then use multivariate analysis to test five hypotheses related to the institutional profile of 151 universities in 29 countries. Empirical evidence is provided from universities offering MOOCs through the four of the most commonly used private global platforms that emerged as part of the booming MOOC movement (Udacity, Co…