Traditional data mining algorithms will not work efficiently for most of the real world applications where the data is stored in relational format. Even well-known traditional classification technique such as J48, Naïve Bayes often suffers from poor scalability and unsatisfactory predictive performance when it comes to working with relational data. Moreover the performance of existing relationa...

In this paper, we use experimental economics methods to test how well Analytic Hierarchy Process (AHP) fares as a choice support system in a real decision problem. AHP provides a ranking that we statistically compare with three additional rankings given by the subjects in the experiment: one at the beginning, one after providing AHP with the necessary pair-wise comparisons and one after learnin...

The assessment of goods quality using experts is costly task in addition to their often unavailability. In this paper, we present a new method for ranking physical features of consumer goods according to their relevancy to multiple evaluators’ perception at different levels and selecting the most important ones for quality characterization. The main contribution of the paper is combining of fuz...

The selection of students is a complex decision making process, in which multiple selection criteria often need to be considered and where subjectiveness and imprecision are usually present, resulting that fuzzy and imprecise data should be used. This paper formulates the student selection process as a multicriteria decision analysis problem, concretely as a ranking problem, by using the ELECTR...

The present study aimed at ranking and selecting the superior geothermal project for hydrogen production in 14 provinces of Iran using a multi-objective optimization fuzzy hybrid approach through analyzing the ratio (fuzzy Moora) and expanded entropy weighting method. In this research, the extended entropy weighing method and the Fuzzy-Moora approach were utilized to weigh the criteria and proj...

In the submodular ranking (SR) problem, input consists of a set functions defined on ground elements. The goal is to order elements for all have value above certain threshold as soon average possible, assuming we choose one element per time. problem flexible enough capture various applications in machine learning, including decision trees. This paper considers min-max version SR where multiple ...