Traditional Evaluation Process Research Articles

Evaluation of Power Grid Investment Decision-Making with Mixed Binomial Coefficient and Coefficient of Variation

The investment evaluation of power grid construction projects is a necessary link for power grid companies to carry out power grid construction. In the traditional evaluation process, it is generally based on the original index scores or similar schemes for comparison and decision-making. There are problems of simple methods and insufficient theoretical support. Fully considering various factors in the investment process of power grid construction, a set of rating index system with three-level hierarchical structure is constructed with actual demand as the standard. The evaluation model is verified and analyzed by an example.

Environmental Factors Assisted the Evaluation of Entropy Water Quality Indices with Efficient Machine Learning Technique

Water is an indispensable resource for human production and life. The evaluation of water quality by scientific methods provides sufficient support for the regeneration and recycling of water resources. In this study, entropy theory was used to evaluate water quality and overcomes the limitations of traditional water quality assessment, which does not consider the impact of different environmental factors on water quality. Considering the complexity of the traditional evaluation process, two typical machine learning (ML) methods – generalized regression neural network (GRNN) and support vector machine (SVM) – were used to predict the entropy water quality index (EWQI). Correlation analysis was applied to divide environmental factors into different combinations that subsequently acted as the input vector for the ML model. According to the results of the root mean squared error (RMSE), the SVM was selected as the better prediction model. Then, four different types of optimization algorithms were used to optimize the SVM to calculate nonlinear regression predictions and classifications of water quality. After analyzing the prediction results with different types of scientific evaluation indicators, the algorithm of differential evaluation and gray wolf optimization (DE-GWO) achieved markedly better performance than the other three algorithms, which has important advantages in avoiding the prediction model falling into a local optimal solution. The results of this study have significant guidance for water quality prediction and could make further contributions to the rational use and protection of water resources.

Research on Comprehensive Decision-Making of Distribution Automation Equipment Testing Results Based on Entropy Weight Method Combined with Grey Correlation Analysis

The traditional evaluation process of distribution automation equipment relies on the judgment of experts. In order to solve the problem of insufficient objectivity of the comprehensive evaluation process, a comprehensive decision-making method of distribution automation equipment testing results based on entropy weight method combined with grey correlation analysis is proposed. Firstly, the test and evaluation index system considering eight big indexes and thirty-five small indexes is established. Secondly, the entropy weight method is used to determine the objective weight, which can avoid subjective influence and make the weighting process more objective. Then, the improved grey correlation analysis method is used to achieve the sorting of the test results of distribution automation equipment. Finally, the effectiveness of the proposed method is verified by the analysis and comparison of case studies.

The Application of Formal Axiology to Medical Education through the Hartman Value Profile: A prospective cohort study.

Introduction:Many criteria such as USMLE scores, applicant resumes, Dean’s letters, recommendation letters, personal discussions, interview scores and medical school transcripts can be used to predict the success of a medical trainee in the USA. This information is either relatively objective, or subjective. It would be valuable if we had some objective measures that might predict a successful resident performance early in the process or on the other side to allow remediation or redirection. Actual performance of a resident or fellow is based upon his or her ability to execute sound judgments within the complex healthcare setting. The Hartman Value Profile (HVP) evaluates the structure and the dynamics of an individual value system. This study has the primary goal of determining whether specific indices on the HVP correlate with the management’s evaluation of the residents established by the Department of Anesthesiology at Yale University. Methods:The protocol developed uses univariate correlations between residents’ HVP subscales and their performance scores, which will be determined with the Pearson correlation coefficient or Spearman rank coefficient as appropriate. Demographic and clinical variables will be reported descriptively. A two-sided alpha value of 0.05 will be used for identifying statistically significant findings. Conclusion:The potential benefits are that obtaining specific indices on the HVP would enable management to better engage and work with residents. Experience gained from incorporating the HVP into the residency selection process suggests that it may add objectivity in predicting resident performance during training. Given the potential impact, it could be implemented as an adjuvant tool to the traditional evaluation process.

Evaluating the performance of government websites: An automatic assessment system based on the TFN-AHP methodology

Government websites are currently important for providing information and services to citizens. It is a crucial task to evaluate the performance of each government website. The traditional evaluation processes based on experts are criticised as being subjective and cannot work in real time. This article proposes a framework and automatic assessment system for evaluating the performance of government websites in real time. To test the proposed framework and the automatic assessment system, we evaluate and classify 70 websites from Shaanxi Province of China. This article provides guidance for government agencies, managers of government websites and researchers.

Crowd judge’s knowledge and the nexus of self-selection and evaluation quality of crowdsourced ideas

Due to internal challenges of evaluating crowdsourced ideas, organizations increasingly turn to crowds for the evaluation of ideas in their new product development processes. While wisdom and madness of crowds is well documented, less is known about the respective antecedents. Contrary to traditional evaluation processes in new product development crowdsourcing relies on self-selection of judges. In this study we investigate how two major individual-level antecedents, i.e. an individual’s knowledge in the domain of the contest and an individual’s distance to ideas, influence the decision to evaluate ideas and the subsequent quality of these evaluations. We analyze 8,740 evaluation decisions and 701 evaluations of new ideas in a two-phase crowdsourcing contest in the field of open data. By considering self-selection, which is at the heart of crowdsourcing, our results reveal that crowd judges self-select on ideas that lead to suboptimal evaluation quality.

Managing Interacting Criteria: Application to Environmental Evaluation Practices

The need for organizations to evaluate their environmental practices has been recently increasing. This fact has led to the development of many approaches to appraise such practices. In this paper, a novel decision model to evaluate company’s environmental practices is proposed to improve traditional evaluation process in different facets. Firstly, different reviewers’ collectives related to the company’s activity are taken into account in the process to increase company internal efficiency and external legitimacy. Secondly, following the standard ISO 14031, two general categories of environmental performance indicators, management and operational, are considered. Thirdly, since the assumption of independence among environmental indicators is rarely verified in environmental context, an aggregation operator to bear in mind the relationship among such indicators in the evaluation results is proposed. Finally, this new model integrates quantitative and qualitative information with different scales using a multi-granular linguistic model that allows to adapt diverse evaluation scales according to appraisers’ knowledge.

Improving learning by motivating students to read the news using ICT

This paper aims to analyze how reading news through ICT can motivate students to improve learning. In this study, almost 200 students in Finance and Marketing courses, participated in a three-month guided reading activity program. Motivation levels were evaluated both at the beginning and the end of the program through online surveys. In addition, traditional evaluation processes such as exams were tested to determine their effectiveness in motivating and engaging students or if using new technologies on their own were sufficient to motivate and to engage students in their learning processes.The results point to reading newspapers and ICT serving as tools to shape and enhance the learning environment. However, it is important to develop proper evaluation methods and user friendly ICT available on multiple devices in order for access barriers to be sufficiently lowered so that student will actually use them. 
 Keywords: news, technology, information and communication technologies, educational innovation.

Moodle como herramienta de evaluación: la experiencia del Bachillerato de Informática Empresarial en la UCR Sede de Occidente

El presente artículo describe la experiencia personal en el uso de Moodle en la carrera de Bachillerato en Informática Empresarial en la Sede de Occidente de la Universidad de Costa Rica. Se destaca aquí las facilidades que proporciona como una propuesta de evaluación emergente a través de diferentes funcionalidades tanto para la interacción con los estudiantes como las alternativas que ofrece a los procesos tradicionales de evaluación. Se busca además compartir los resultados y logros obtenidos con su uso a lo largo de los años en los diferentes cursos de la carrera.Diá-logos 17, 2016: 53-60

A hybrid MCDM approach for improving the performance of green suppliers in the TFT-LCD industry

The awareness of environmental protection/conservation and sustainable development has increased in the last two decades. In the competitive thin film transistor liquid crystal display (TFT-LCD) industry, green supplier evaluation involves environmental criteria in the traditional evaluation process and emphasises that TFT-LCD manufacturers should improve the performance of their suppliers with limited resources. The purpose of this study is to develop a hybrid multiple criteria decision-making with preference ranking organisation method for enrichment evaluations to evaluate and assist polariser suppliers for improving the performance of green suppliers in the TFT-LCD industry to achieve the aspiration level. Based on supplier audit forms, the proposed methods are as follows: to develop a decision framework by an influential network relation map (INRM); to obtain the influential weights of the criteria; to involve the concept of aspiration levels in the preference function; and to evaluate and reduce the gaps of suppliers in each criterion based on the INRM by systematically making decisions in the process of striving toward the aspirations. The results show the ranking as well as the suppliers’ strengths/weaknesses and provide an improvement report to enhance the suppliers’ competitiveness. In the evaluation procedure, the managers place importance on ‘green management’, ‘technology’ and ‘organisation’ aspects. To achieve the goal of being a cost-effective and high-performance manufacturer, the subsidiary polariser supplier should improve performance on ‘health and safety’ first and next develop technology to become the primary supplier by using the proposed methods.

Using Case Studies as a Lens to Observe Teaching Evaluations

This paper presents the observations of three case studies, reflecting on the practices undertaken in various teaching evaluations. The case studies provide some insight into how many international institutions of higher education follow very traditional evaluation processes, even though they may differ significantly in cultural diversity and organization. Secondly, the paper emphasises the lack of alignment in evaluation practices when Universities try to seek more effective teaching and learning outcomes using these traditional instruments as the conduit. More effective teaching and learning could be accomplished through more aligned and reflective evaluation practices.

Improving the Security of Downloadable Java Applications With Static Analysis

Today, most middle-end mobile phones embed a Java runtime environment that can execute programs downloaded on the network by the user. This new functionality creates great opportunities for new services but also brings the full range of risks that existed on the personal computer to the phone.Telecommunication operators are the last warrant of the quality of the software downloaded by their customers and might sign the applications they trust. Unfortunately they have little evidence to check the quality of the contents of the jammed bytecode they receive from developers. The traditional evaluation process relies mostly on the manual testing of the software on actual terminals. But this is not adapted for security properties.MATOS (Midlet Analysis TOol Suite) is a static analysis tool that checks the possible values passed to some identified methods directly on the compiled application. It is used by the test teams of the mobile operator Orange to check what kind of connections are opened by MIDP applications. We will present the security requirements we want to check, how MATOS helps to ensure them and how the necessary analysis are performed using a combination of (rather) well-known analysis techniques.

Occupational Interest Inventories: An Often Untapped Resource

Two Occupational Interest Inventories, the Strong Campbell Interest Inventory (SCII) and the Career Assessment Inventory (CAI) are suggested as a basis for improving the selection of occupational objectives when traditional evaluation processes are either incomplete, inappropriate, and/or unacceptable. Comments relating to the SCII and CAI focus upon operational characteristics such as ease of administration, scoring and interpretation. Inventory results are reviewed in the text of counselor interpretation responsibilities and the benefits available to both the client and the rehabilitation process.