In this paper, a new classification model which combines the discriminant analysis and the data envelopment analysis and bases on on the multicriteria decision making is developed. Our suggested model utilizes the relative efficiency concept of the data envelopment analysis in predicting group membership of units. The study is supported with an application which examines a few selected socioeco...

We describe the architecture of a novel ontology and rule editor ACE View. The goal of ACE View is to simplify viewing and editing expressive and syntactically complex OWL/SWRL knowledge bases by making most of the interaction with the knowledge base happen via Attempto Controlled English (ACE). This makes ACE View radically different from current OWL/SWRL editors which are based on formal logi...

This paper provides a literature review in clinical decision support systems (CDSSs) with a focus on the way knowledge bases are constructed, and how inference mechanisms and group decision making methods are used in CDSSs. Particular attention is paid to the uncertainty handling capability of the commonly used knowledge representation and inference schemes. The definition of what constitute go...

Digitization in every sector leads to the growth of digital data in a tremendous amount. Digital data are not only available in the form of text but it is also available in the form of images, audio and video. Decision making people in every field like business, public sector, hospital, etc. are trying to get useful and implicit information from the already existing digital data bases. Image mi...

Within the artificial intelligence community, argumentation has been studied for quite some years now. Despite progress, the field has not yet succeeded in creating support tools that members of the public could use to contribute their views to discussions of public policy. One important reason for that is that the input statements of participants in policy-making discussions are put forward in...

Inferring from inconsistency and making decisions are two problems which have always been treated separately by researchers in Artificial Intelligence. Consequently, different models have been proposed for each category. Different argumentation systems [1, 6, 9, 10] have been developed for handling inconsistency in knowledge bases. Recently, other argumentation systems [2, 3, 7] have been defin...

The Naturalistic Decision Making (NDM) addresses how human decision makers can deal with constraints of time and information. In general, NDM theories are consistent with expert decision making but tend to be very general, referring to broad categories of cognitive processes such as recognition, pattern matching, and mental simulation, without explaining exactly how these processes are performe...

Two studies were conducted to examine the bases for age differences in the construction of social inferences. In each study, adults aged from 20 to 80 years were presented with an impression formation task in which they first read brief behavioral descriptions of fictitious people and then made a trait inference and likability judgment about each person. Results were generally consistent with p...

Selection of Commercial-off-The-Shelf (COTS) software products is a knowledge-intensive process. In this paper, we show how knowledge bases can be used to facilitate the COTS selection process. We propose a conceptual model to support decision makers during the evaluation procedures. We then describe how this model is implemented using agent technologies supported by two knowledge bases (KB): t...

More than thirty years ago, Wind’s (1978) seminal review of research in market segmentation culminated with a research agenda for the subject area. The priorities included exploring the applicability of new segmentation bases across different products and contexts, developing more flexible data analysis techniques, creating new research designs and data collection approaches, developing new con...