E-learning is a type of learning supported by information communication technology that improves the quality of teaching and learning. This paper explores how a group of 95 respondents consisted of administrative and academic staff, and post graduate students evaluated five elearning approaches by using multi-criteria methods. They were asked to assess the relative importance of five e-learning...

When evaluating data mining algorithms that are applied to solve real-world problems there are often several, conflicting criteria that need to be considered. We investigate the concept of generic multi-criteria (MC) classifier and algorithm evaluation and perform a comparison of existing methods. This comparison makes explicit some of the important characteristics of MC analysis and focuses on...

Multi-Criteria Decision Making (MCDM) methods are famous approaches to structure information and decision evaluation in problems with multiple, conflicting goals. This paper proposes a fusion approach for solving the alternative selection problem. It has three advantages described as below: (1) it uses the entropy method and the ME-OWA operator to get the value of the attribute weight; (2) it u...

this research aims at developing original components of decision support system (dss) in order to support the evaluation and selection of suppliers in multi products having limited capacity. to achieve this purpose, researchers have proposed three different models based on which suppliers allow selecting their own desired type of discount. firstly based on the performed studies, some criteria h...