The objective of this research is to develop a decision support system (DSS) which can accommodate evaluation models to optimise multimodal transportation routing within Greater Mekong sub-region countries (GMS). This model is the combination of a number of models, the Analytic Hierarchy Process...

The health care system is undergoing rapid change. Given the ever changing healthcare environment the responsibilities, competencies and skills expectations of new nurses is escalating. Therefore, there is need for a deeper and more systematic assessment of the competences affect on core...

Corporate social responsibility (CSR) reporting focuses on the disclosure of information, however, the information reported is all too often determined by what the company deems important. To improve the reliability of CSR information and to enhance stakeholders’ confidence, CSR reports are...

The purpose of this research is to identify and rank different aspects of knowledge management based on the Beckman model using the Fuzzy TOPSIS technique. The Beckman model, in this research, has 8 main dimensions including: knowledge identification, knowledge acquisition, knowledge selection,...

Although verbal and numerical scales are commonly used in the Analytic Hierarchy Process for pairwise comparisons, new experiments with computer-based visual tools confirm that ratio preferences can be effectively and efficiently elicited using adjustable visual tools and simultaneous...

Spatial Monte Carlo Analysis (SMCA) is a newly developed Multi-Criteria Decision Making (MCDM) technique based on Spatial Compromise Programming (SCP) and Monte Carlo Simulation (MCS) technique. In contrast to other conventional MCDM techniques, SMCA has the ability to address uneven spatial...

Water resources policy making often involves consideration of a broader scope of environmental, economic, and social issues. This inevitably complicates policy making since consensus among multiple stakeholders with different interests is needed to implement decisions. This work employs several...

Classification algorithm selection is an important issue in many disciplines. Since it normally involves more than one criterion, the task of algorithm selection can be modeled as multiple criteria decision making (MCDM) problems. Different MCDM methods evaluate classifiers from different...

<Para ID="Par1">In this study, an iterative framework for robust reclaimed wastewater allocation (IFRWA) was developed to consider multiple climate change scenarios using multi-criteria decision making (MCDM) methods. Each iteration begins with the assumption that an additional unit of water quantity is...</para>