The increasing complexity of modern computer systems emerges as a real challenge for both the users and the designers. According to the innovative vision of Organic Computing systems, the system components will profit from their autonomy to perform a self-organization, and subsequently, to reach a high degree of adaptivity. The goal of this thesis is to investigate the vision of Organic Computi...

Multiple Criteria Decision Making (MCDM) aims at giving people a knowledge recommendation concerning a set of objects evaluated from multiple preference-ordered attributes. The Superiority and Inferiority Ranking (SIR) is a generation of the well-known outranking approachPROMETHEE, which is an efficient approach for MCDM. As the traditional MCDM approach, however, it faces the obstacle in handl...

This paper proposes the application of Meta-Learning Evolutionary Artificial Neural Network (MLEANN) in selecting flexible manufacturing systems (FMS) from a group of candidate FMS’s. First, multi-criteria decisionmaking (MCDM) methodology using an improved S-shaped membership function has been developed for finding out the “best candidate FMS alternative” from a set of candidate-FMSs. The MCDM...

a r t i c l e i n f o The classic multiple-criteria decision making (MCDM) model assumes that, when taking a decision, the decision maker has defined a fixed set of criteria and is presented with a clear picture of all available alternatives. The task then reduces to computing the score of each alternative, thus producing a ranking, and choosing the one that maximizes this value. However, most ...

The Fuzzy Analytic Network Process (ANP) is generally used for solving multicriteria decision making (MCDM) problems by considering the pairwise comparison between criteria/sub-criteria, and inner/outer dependencies among criteria. Linguistic expressions are used for experts’ judgements, and these judgements are imprecise and vague. Hence, incorporating fuzziness with multi-criteria decision ma...

The Multiple Criteria Decision Making (MCDM) utility determining approaches and fuzzy sets are considered to be new development approaches, which have been recently presented, extended, and used by some scholars in area of decision making. There is a lack of research regarding to systematic literature review and classification of study about these approaches. Therefore; in the present study, th...

Low-carbon building (LCB) has been regarded as an innovative and practical approach to reducing building carbon emissions. The design decision-making for LCBs should consider various criteria which however are often associated with uncertain information. Little research has examined multi-criteria decision making (MCDM) in selecting LCB measures, particularly in high-density subtropical urban e...

Numerous companies are expecting their knowledge management (KM) to be performed effectively in order to leverage and transform the knowledge into competitive advantages. However, here raises a critical issue of how companies can better evaluate and select a favorable KM strategy prior to a successful KM implementation. The KM strategy selection is a kind of multiple criteria decision-making (M...

The environmental impact assessment (EIA) is a real problem of multicriteria decision making (MCDM) where information, as much quantitative as qualitative, coexists. The traditional methods of MCDM developed for the EIA discriminates in favor of quantitative information at the expense of qualitative information, because we are unable to integrate this latter information inside their procedure. ...

We present ALARM (HierarchicAL AppRoach for AnoMaly Detection), a hierarchical approach for correlation and prioritization of alerts in distributed networks. The goal is to monitor, classify, correlate and assess a large number of alerts generated at spatially distributed sites on the Internet. The alerts correspond to anomalies and hence potential unknown threats. To facilitate our analysis, w...