Multi-criteria decision-making (MCDM) can be formally implemented by various methods. This study compares suitability of four selected MCDM methods, namely WPM, TOPSIS, VIKOR, and PROMETHEE, for future applications in agent-based computational economic (ACE) models of larger scale (i.e., over 10 000 agents in one geographical region). These four MCDM methods were selected according to their app...

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...

This paper presents an integrated approach which utilizes multi criteria decision making (MCDM) alongside with Dempster Shafer Theory of evidence (DST) for the selection of landfill sites. It employs a two stage analysis for selecting landfill sites in urban region of Zanjan. The first-stage analysis makes use of the maps in Geospatial information system (GIS) in conjunction with different vari...

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...