Publications by authors named "Van-Nam Huynh"

This paper adopts the hybrid use of (SSM) as a process of inquiry into understanding the lack of a framework for (EBT) in hospitality and tourism education in Vietnam. By combining SSM techniques with interview data, we also develop an EBT framework for the hospitality and tourism profession. The proposed framework addresses three essential sources of evidence for teaching: (1) research-based professional and pedagogical methods, (2) industry-based materials to ensure education-industry linkage, and (3) instructors' knowledge, experience and assumptions about their teaching roles in the classroom.

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Article Synopsis
  • Existing approaches for researching high-entropy alloys (HEAs) struggle with issues like numerous possible element combinations, the need for effective descriptors, and a lack of reliable data.
  • The authors developed an evidence-based material recommender system (ERS) using Dempster-Shafer theory, which helps organize and evaluate uncertainty in data without needing specific material descriptors.
  • Their evaluation shows that the ERS outperforms traditional recommendation systems and has good prediction abilities for new HEA combinations, with successful experimental validation of the recommended Fe-Co-based magnetic HEA, FeCoMnNi, confirming its structural properties.
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This paper proposes a multiexpert decision-making (MEDM) method with linguistic assessments, making use of the notion of random preferences and a so-called satisfactory principle. It is well known that decision-making problems that manage preferences from different experts follow a common resolution scheme composed of two phases: an aggregation phase that combines the individual preferences to obtain a collective preference value for each alternative; and an exploitation phase that orders the collective preferences according to a given criterion, to select the best alternative/s. For our method, instead of using an aggregation operator to obtain a collective preference value, a random preference is defined for each alternative in the aggregation phase.

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