In this chapter we introduce a theoretical framework for studying decision making in sport, the ecological dynamics approach, which we integrate with key ideas from the literature on learning complex motor skills. Our analysis includes insights from Bernstein (1967) on the coordination of degrees of freedom and Newell’s (1985) model of motor learning. We particularly focus on the role of percep...

The aim of this study was to develop an optimal sustainable forest plantation based on goal programming and Analytic Hierarchy Process (AHP) methods. This study was carried out in Guilan province, north of Iran. First of all, the ecological capability of the study area for plantation establishment/maintenance was evaluated based on multi-factor method and specific ecological Makhdoum Model by ...

Uncertainty is an inherent part of making decisions in a broad spectrum of situations, from wildfire management [14] and hurricane evacuation [3], to water use policy [4]. Studying the effects of visualizing uncertainty in these decision making contexts, however, remains a challenge due to the influence of expertise and individual differences in how experiential knowledge influences decision ma...

DEX is a qualitative multi-criteria decision analysis method. It has been used numerous times in various applications – from everyday decision problems to problems in financial and ecological domains. Based on experience and applications, we identified six methodological extensions to DEX, which form a basis for a thesis in the area of multi-criteria decision support. The extensions are: using ...

Selecting appropriate environmental variables is a key step in ecology. Terrain attributes (e.g. slope, rugosity) are routinely used as abiotic surrogates of species distribution and to produce habitat maps that can be used in decision-making for conservation or management. Selecting appropriate terrain attributes for ecological studies may be a challenging process that can lead users to select...

Classifiers like ANN & SVM are always preferred over other classification model like decision tree due to higher accuracy but lacking explainability and comprehensibility. Rule extraction techniques bridges gap between accuracy and comprehensibility. To evaluate and compare different rule extraction techniques, we require measures for evaluation and categorization. Taxonomy helps us to select a...

Resilience thinkers share an interest in collaborative deliberation with communicative planners, who aim to accommodate different forms of knowledge and styles of reasoning to promote social learning and yield creative and equitable agreements. Members of both fields attended a symposium at Virginia Tech in late 2008, where communicative planners considered how social–ecological resilience info...

In a recent study, Dijksterhuis et al. (Science 311:1005, 2006) reported that participants were better at solving complex decisions after a period of unconscious thought relative to a period of conscious thought. They interpreted their results as an existence proof of powerful unconscious deliberation mechanisms. In the present report, we used a similar experimental design with an additional co...

fuzzylogic computes a multi-criteria evaluation by means of either a boolean analysis, weightedlinear combination (wlc) and ordered weighted averaging (owa) of factor images. owa works withstandardized factor images and employs a variant of the wlc. it takes into account the risk associated withthe decision and degree of tradeoff associated with the variables in the analysis. in this research, ...

Short abstract Past experimental studies of decision-making in the context of the Newsvendor problem unanimously find that the decision-makers tend to make suboptimal decisions and, unless special measures are taken to induce “in-task” learning, fail to improve quality of their decisions over time. However, most of these past studies dealt with individual decision-makers. In the present study w...