DIGITAL LIBRARY
A METHOD FOR THE SELECTION OF STUDENTS IN INTERDISCIPLINARY STUDIES
University of Barcelona (SPAIN)
About this paper:
Appears in: INTED2009 Proceedings
Publication year: 2009
Pages: 611-621
ISBN: 978-84-612-7578-6
ISSN: 2340-1079
Conference name: 3rd International Technology, Education and Development Conference
Dates: 9-11 March, 2009
Location: Valencia, Spain
Abstract:
We present a method for the selection of students in interdisciplinary studies based on the hybrid averaging operator. We assume that the available information given in the problem is uncertain so it is necessary to use interval numbers. Therefore, we suggest a new type of hybrid aggregation called uncertain induced generalized hybrid averaging (UIGHA) operator. It is an aggregation operator that considers the weighted average (WA) and the ordered weighted averaging (OWA) operator in the same formulation. Therefore, we are able to consider the degree of optimism of the decision maker and grades of importance in the same approach. By using interval numbers, we are able to represent the information considering the best and worst possible results so the decision maker gets a more complete view of the decision problem. The main advantage of the UIGHA operator is that it provides a wide range of aggregation operators that includes among other, the uncertain induced OWA (UIOWA), the uncertain WA (UWA), the uncertain maximum, the uncertain minimum and the uncertain average. We develop an illustrative example of the proposed scheme in the selection of students in interdisciplinary studies. We see that with the use of the UIGHA operator we get a more complete representation of the selection problem. Then, the decision maker is able to consider a wide range of alternatives depending on his interests. We also show other potential applications that could be used by using the UIGHA operator in educational problems about selection of different types of resources such as students, professors, etc.
Keywords:
decision making, selection of students, uncertainty, aggregation operators.