Application of fuzzy TOPSIS for the prioritization of students' requirements in higher education institutions: a case study : A multi-criteria decision making approach

2020 ◽  
Author(s):  
Parth Koltharkar ◽  
Eldhose K K ◽  
R Sridharan
Keyword(s):  
Higher Education ◽  
Decision Making ◽  
Higher Education Institutions ◽  
Fuzzy Topsis ◽  
Multi Criteria Decision Making

scholarly journals Developing an ethical framework for asymptomatic COVID-19 testing programmes in higher education institutions

2021 ◽  
Vol 6 ◽  
pp. 101
Author(s):  
Caitriona Cox ◽  
Akbar Ansari ◽  
Meredith McLaughlin ◽  
Jan Van der Scheer ◽  
Kathy Liddell ◽  
...  
Keyword(s):  
Higher Education ◽  
Decision Making ◽  
Higher Education Institutions ◽  
Ethical Framework ◽  
Structured Interviews ◽  
Ethical Considerations ◽  
Testing Programme ◽  
Mandatory Participation ◽  
The University

Background: Mass asymptomatic COVID-19 testing programmes are being introduced in a range of settings, including in higher education institutions (HEIs). We aimed to produce an ethical framework to identify the range of ethical considerations relevant to HEI testing programmes and to support organisational decision-making. Methods: We conducted a mixed-method consultation (survey and semi-structured interviews) with students and staff at a case study university that was running a student testing programme. Survey data were analysed descriptively; data analysis for interviews was based on the Framework method. The findings of the consultation were combined with literature review, legal/ethical analysis and expert views to produce an ethical framework. Results: A total of 239 people took part in the consultation: 213 completed surveys (189 students, 24 staff) and 26 (16 students, 7 staff) participated in interviews. The survey identified clear support (99% of survey respondents) for the testing programme. Around two-thirds (62%) supported non-mandatory participation. Over half (54%) felt that the programme would need to be at least moderately effective to be acceptable. Over three-quarters (76%) felt the university had some responsibility to run a testing programme. Synthesis of consultation findings and further analysis identified nine areas of ethical consideration for HEIs looking to implement mass asymptomatic testing programmes: design and operation; goals; properties of the test; enabling isolation; choices about participation; benefits, harms and opportunity costs; responsibilities between students and institutions; privacy, confidentiality and data-sharing; and communication. The ethical framework includes recommendations in each of these areas, with illustrative examples of how they might be put into practice. Conclusions: By identifying ethical considerations relevant to university student testing programmes using analysis and consultation, the framework we developed has potential to facilitate deliberation about ethical aspects of such programmes, as well as informing decision-making about their introduction, design and delivery.

Big Data analytics and facilities management: a case study

Facilities ◽  
2019 ◽  
Vol 38 (3/4) ◽  
pp. 268-281 ◽  
Author(s):  
Eunhwa Yang ◽  
Ipsitha Bayapu
Keyword(s):  
Higher Education ◽  
Decision Making ◽  
Data Analytics ◽  
Higher Education Institutions ◽  
Structured Interview ◽  
Software Tools ◽  
Facilities Management ◽  
Content Type ◽  
Data Elements

Purpose This paper aims to investigate data elements, transfer, gaps and the challenges to implement data analytics in facilities management. The goal is not to search for a definite solution but to gather necessary information, understand the challenges faced and develop a proper foundation for future study. Design/methodology/approach This paper used a case study approach with a qualitative method. The case of the Georgia Institute of Technology was investigated by having a semi-structured interview with six relevant personnel. The recorded interview content was analyzed and presented based on six work processes. Findings Higher education institutions are taking initiatives but facing challenges in implementing data analytics. There were 36 software tools used to manage different aspects of facilities at Georgia Tech. Identified data elements and data processing indicated that major challenges for data-driven decision-making were inconsistency in data input and structure, the issue of interoperability among different software tools and a lack of software training. Research limitations/implications The authors only interviewed individuals who work closely with data gathering, transfer and processing. Thus, the study did not explore the perspective of individuals in the leadership level or the user group level. Originality/value Facilities management departments in higher education institutions perform multi-disciplinary functions, including building automation, continuous commissioning and preventative maintenance, all of which are data- and technology-intensive. Managing this overwhelming amount of information is often a challenge, but well-planned data analytics can be used to draw keen insights about any aspect of facilities management and operations and assist in evidence-based decision-making.

La tutoría como estrategia de la programación académica en la Facultad de Ingeniería Mecánica y Eléctrica de la Universidad Veracruzana en Poza Rica Veracruz, México

2019 ◽  
pp. 1-7
Author(s):  
Gabriel Juárez-Morales ◽  
Juan Rodrigo Laguna-Camacho ◽  
Luz María Ramos-González ◽  
Jorge Alberto Chagoya-Ramírez
Keyword(s):  
Higher Education ◽  
Decision Making ◽  
Higher Education Institutions ◽  
Educational Experiences ◽  
Descriptive Study ◽  
Educational Programs ◽  
Interview Survey ◽  
School Period ◽  
The City

Academic tutoring represents a strength of support for all students in their Educational Programs (PE) that they have chosen to complete their professional studies for all higher education institutions. The Faculty of Mechanical and Electrical Engineering of the Universidad Veracruzana in the city of Poza Rica Veracruz, offers 3 PE of Engineering: Mechanical, Electrical and Industrial and in these there is an institutional program of tutoring that contributes in the orientation and advising of the tutorados for the decision making in the academic programming of each school period. The academic programming based on tutoring allows the Faculty to know the demand according to the needs of the students of the Educational Experiences (EE) that they require for a school period. The present work of analytical and descriptive study, shows the processes that are carried out in the Faculty towards an adequate academic programming and implementing with the tutors interview-survey work sessions to gather the required information so that each tutor can program the assignment of their EE For studying, in this case study the sample is a Mechanical Engineering group for the school period February-July 2019.

scholarly journals Evaluating Museum Virtual Tours: The Case Study of Italy

Information ◽  
2019 ◽  
Vol 10 (11) ◽  
pp. 351 ◽  
Author(s):  
Katerina Kabassi ◽  
Alessia Amelio ◽  
Vasileios Komianos ◽  
Konstantinos Oikonomou
Keyword(s):  
Decision Making ◽  
Analytic Hierarchy Process ◽  
Fuzzy Topsis ◽  
Multi Criteria Decision Making ◽  
Ideal Solution ◽  
Analytic Hierarchy ◽  
The Status ◽  
The Analytic Hierarchy Process ◽  
Hierarchy Process

Virtual tours in museums are an ideal solution for those that are not able to visit a museum or those who want to have a small taste of what is presented in the museum before their visit. However, these tours often encounter severe problems while users interact with them. In order to check the status of virtual tours of museums, we present the implementation of an evaluation experiment that uses a combination of two multi-criteria decision making theories, namely the analytic hierarchy process (AHP) and the fuzzy technique for order of preference by similarity to ideal solution (TOPSIS). AHP has been used for the estimation of the weights of the heuristics and fuzzy TOPSIS has been used for the evaluation of virtual tours of museums. This paper presents the exact steps that have to be followed in order to implement such an experiment and run an example experiment for virtual tours of Italian museums.

Multi-Criteria Decision Making for Vulnerability Mapping of Flood Hazard: A Case Study of Pune City

2019 ◽  
Vol 2 (1) ◽  
pp. 41-52
Author(s):  
Nitin Mundhe
Keyword(s):  
Decision Making ◽  
Flood Hazard ◽  
Geographical Information ◽  
Multi Criteria Decision Making ◽  
Flood Hazards ◽  
Very High Frequency ◽  
Flood Vulnerability ◽  
Natural Risk ◽  
The Town

Floods are natural risk with a very high frequency, which causes to environmental, social, economic and human losses. The floods in the town happen mainly due to human made activities about the blockage of natural drainage, haphazard construction of roads, building, and high rainfall intensity. Detailed maps showing flood vulnerability areas are helpful in management of flood hazards. Therefore, present research focused on identifying flood vulnerability zones in the Pune City using multi-criteria decision-making approach in Geographical Information System (GIS) and inputs from remotely sensed imageries. Other input data considered for preparing base maps are census details, City maps, and fieldworks. The Pune City classified in to four flood vulnerability classes essential for flood risk management. About 5 per cent area shows high vulnerability for floods in localities namely Wakdewadi, some part of the Shivajinagar, Sangamwadi, Aundh, and Baner with high risk.

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