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...

Evaluating alignments for a transportation corridor is a complex process that involves many decision makers and stakeholders. Capturing input about important considerations is vital to the process of alignment selection and is an iterative process. Multi-Criteria Decision Making (MCDM) provides a systematic methodology to compare, select, and rank multiple alternatives using disparate data sour...

Interval number is a useful tool to handle the uncertainty brought by human factors in multi-criteria decision-making (MCDM) process. When faced with MCDM problems in real-world, the experts may be uncomfortable giving precise upper and lower bounds of the interval ratios on multi-criteria. Based on the reciprocal judgment matrices given by the experts through pairwise comparisons, the satisfac...

Hesitant fuzzy set (HFS), which can be accurately and perfectly described in terms of the opinions of decision makers, is considered as a powerful tool to express uncertain information in the process of multi-attribute decision making (MADM) problems. The core of the HFS is the hesitant fuzzy element (HFE).This paper developed a method, which using the interval probabilistic hesitant fuzzy elem...

In order to survive in the present day global competitive environment, it now becomes essential for the manufacturing organizations to take prompt and correct decisions regarding effective use of their scarce resources. Various multi-criteria decision-making (MCDM) methods are now available to help those organizations in choosing the best decisive course of actions. In this paper, the applicabi...

Multiple Criteria Decision Making (MCDM) is firmly rooted in an alternative concept of optimality where multiple (rather than single) criteria characterize the notion of “the best” (or optimal), as is prevalent in the areas of economics, engineering, management and business. These are often constrained problems where search for an optimal solution requires some form of evaluating criteria perfo...

Vendor selection problem is believed to be a Multi Criteria Decision Making (MCDM) problem which has been a growing research area since past few decades. Several effective techniques have already been proposed by researchers and practitioners to evaluate the suppliers/vendors. Among these Analytic Hierarchy Process (AHP) is assumed to be the mostly exploited method due to its strong ability of ...