Handling of missing attribute values are a big challenge for data analysis. For handling this type of problems, there are some well known approaches, including Rough Set Theory (RST) and classification via clustering. In the work reported here, RSES (Rough Set Exploration System) one of the...

Article describes experiences in the teaching of a modelling and simulation course for students at Faculty of Organizational Sciences. The course consists of time-continuous simulation based on System Dynamics (SD) and discrete event simulation (DES). It is held in the 3rd year of studies, at...

Innovation has always been the engine of economic growth. Nowadays, billions are disbursed on research and universities are working increasingly closely with industries to help them developing new products and processes. In order, to maintain this important role and be more competitive, higher...

The provision of high-quality educational services is a mandatory objective for Higher Education Institutions (HEIs) nowadays. Consequently, HEIs implement Quality Management System (QMS) process frameworks. A core managerial activity conducted in these QMS is decision making, which impacts the...

Decision support systems (DSS) constitute one of the most crucial components of almost every corporation's information system. Data warehouse provides the DSS with massive volumes of quality corporate data for analysis. On account of the volume of corporate data, its processing time of on-line...

The primary focus of a successful organization is to deliver the high quality product to fulfil the client's needs. In the software industry, quality requirements play a major role for the projects to be successful. Quality requirements are influenced by the users, clients and stakeholders...

This paper describes a real application of a multicriteria decision aid to sort suppliers in the Brazilian dairy industry located in Serra Talhada City. This region is very arid, and farmers have difficulty maintaining the quality required for dairy production. Five criteria were identified by...

This research aims to address the problems of estimating e-Learning development costs particularly within the United Kingdom. Hundreds of managers with no prior experience of managing e-Learning development often find themselves needing to produce cost estimations for e-Learning development. The...

Recommender systems aim to support decision-makers by providing decision advice. We review briefly tools of Multi-Criteria Decision Analysis (MCDA), including aggregation operators, that could be the basis for a recommender system. Then we develop a multi-criteria recommender system, STROMa...

To compute a partition quality for a decision tree, we propose a new measure called NIM “New Information Measure”. The measure is simpler, provides similar performance, and sometimes outperforms the existing measures used with tree-based methods. The experimental results using the MONITDIAB...