Objective Long-term strategic planning is necessary if an organization intends to go beyond its customers’ expectations and remain competitive. A balanced scorecard is considered as a mere scorecard without a strategic plan. Therefore, it will only report the important measures not a clear understanding of leading the whole organization towards success. Strategic planning as the rationale behi...

Visual analytics is a newly built field rooted on information visualization. By using information visualization, data mining, human computer interaction and other techniques, visual analytics can support reasoning process and decision making activities. In a cooperative environment of visual analytics lifecycle, the ability to recognize users and their intention intelligently and effortlessly d...

Cognitive/causal maps have been widely used as a powerful way of capturing decisionmakers’ perceptions about a problem, representing it as a causes-effects discourse. Several ways of making causal inferences from this type of model have been proposed in the Operational Research and Artificial Intelligence literatures, but none, as far as we are aware, has attempted to use a causal map structure...

This paper proposes using a stratified fuzzy cognitive map (FCM) to amplify inference results of Web mining As a dramatic usage of the Internet for a wide variety of daily management activities, Web mining becomes one of the intelligent techniques to provide robust decision support. However, conventional Web mining approaches have failed to offer enriched inference results due to the lack of un...

In this paper we propose a new two-level methodology for assessing countries’/companies’ economic/financial performance. The methodology is based on two major techniques of grouping data: cluster analysis and predictive classification models. First we use cluster analysis in terms of self-organizing maps to find possible clusters in data in terms of economic/financial performance. We then inter...

Supplier selection problem, considered as a multi-criteria decision-making (MCDM) problem, is one of the most important issues for firms. Lots of literatures about it have been emitted since 1960s. However, research on supplier selection under operational risks is limited. What’s more, the criteria used by most of them are independent, which usually does not correspond with the real world. Alth...

A new approach for the construction of Fuzzy Cognitive Maps augmented by knowledge through fuzzy rule-extraction methods for medical decision making is investigated. This new approach develops an augmented Fuzzy Cognitive Mapping based Decision Support System combining knowledge from experts and knowledge from data in the form of fuzzy rules generated from rule-based knowledge discovery methods...

Assessing seismic hazards involves specifying the likelihood, magnitude and location of earthquakes in a region. Predicting the seismic hazards is the first step in reducing the impact of the damage caused by an earthquake.  In this study, to fully utilize all the known parameters which may possibly affect the occurrence of earthquakes (mb ≥ 4.5); a data-driven rule-extraction method called the...

Many real-world spatially related problems, including river-basin planning and management, give rise to geographical information system based decision making, since the performance of spatial policy alternatives were traditionally and are still often represented by thematic maps. Advanced technologies and approaches, such as geographical information systems (GIS), offer a unique opportunity to ...