Aletheia University

About: Aletheia University is a education organization based out in Taipei, Taiwan. It is known for research contribution in the topics: Supply chain & Wireless sensor network. The organization has 767 authors who have published 1194 publications receiving 17323 citations. The organization is also known as: Aletheia University.

Government size, government debt and globalization

Abstract: This article empirically investigates the effect of globalization on government size and debt. Using panel heterogeneous cointegration techniques to a panel of developing and developed countries, it finds that globalization reduces government size and debt. In terms of components of globalization, government size is found to increase with trade openness but decreases with financial, social and political globalization. On the other hand, government debt increases with financial and trade openness but decreases with social and political globalization. The evidence is robust to different estimation methods and different samples. Our data also indicate unidirectional causality running from globalization measures to government size and debt.

A model integrating fuzzy AHP with QFD for assessing technical factors in aviation safety

Abstract: We developed a model that integrates fuzzy logic, the analytic hierarchy process (AHP), and quality function deployment (QFD) to evaluate the importance weighting of the technical factors in aviation safety, as defined by the International Air Transport Association. AHP evaluates the technical factors using pairwise comparisons, and QFD categorizes the relationship between the criteria and subcriteria using expert knowledge. Based on a questionnaire given to aviation professionals, the model shows that the importance weightings of technical factors “Extensive engine failure, uncontained engine fire,” “Design, manufacture,” and “Engine overheat, propeller failure” are most significant. The result also shows that the over-valued and/or under-valued factors predicted by the conventional AHP model can be better described by the integrated fuzzy AHP and QFD models.

Information literacy, creativity and work performance:

Abstract: In the digital age, information literacy, defined as the ability to effectively identify information needs, access needed information, and evaluate and use information, is a crucial skill set for b...

A Humanoid Robot as a Teaching Assistant for Primary Education

Abstract: In this paper, we propose an IDML tools which can provide teachers a humanoid robot to help them for engaging teaching activities in a classroom. Teachers can use this humanoid robot as a teaching assistant for providing an interactive learning experience to students. In order to evaluate the teaching efficacy of humanoid robot, we conducted a trial experiment in the primary education. Formative evaluations of the experiments not only proved that the humanoid robot can promote studentsi¦ learning interest, but also found that humanoid robots have potential benefits for primary education and the possibility of robot-aided education in the classroom.

Multiple criteria group decision making with triangular interval type-2 fuzzy sets

Abstract: In this paper, the triangular interval type-2 fuzzy set extension of the Analytic Hierarchy Process is introduced. The priority vectors are elicited from the pairwise comparison matrix with triangular interval type-2 fuzzy sets which represent the linguistic relative importance judged by experts. First, the triangular interval type-2 fuzzy set logarithmic regression function is defined with respect to the pairwise comparison matrix of the criteria. Then, the sets of linear systems corresponding to the end points of the upper and lower membership functions are formulated by minimizing the logarithmic regression function. The non-normalized weights are solved. It is shown in this paper that the sets of linear systems are all dependent. Accordingly, the final normalized weights can be obtained. A quadratic programming model for finding the optimum normalized weights is constructed in the sense of minimizing the fuzziness of the interval type-2 fuzzy weights. Analogously, if the pairwise comparisons are for the alternatives, then the final normalized triangular interval type-2 fuzzy rates are also obtained. The aggregation process of the triangular interval type-2 fuzzy sets is proposed to obtain the overall rate of each alternative. The interval type-2 fuzzy set ranking method is proposed and used to find the final preference of the alternatives. A numerical example about selecting the best professor candidate is examined.