Positive tree design

This technique reverses the logic of fault tree analysis. In positive tree design, a system for successful operation is comprehensively and logically laid out. The positive tree is an excellent planning and assessment tool because it shows all that must be performed and the proper sequencing of events needed to accomplish an objective. 

To construct an analytical tree, the first thing to be done is to define the top event. For an objective or positive tree, define what you want to design, build. 

Evaporation ponds are often viewed negatively, particularly due to potential salinisation of local land, unpleasant odours and aesthetic problems (Christen et al. 1999). The siting and design of an evaporation pond must then take these factors into account. The planting of trees around the perimeter of a disposal basin has been suggested as a way to increase social acceptance. The pond site should also include a bulfer zone to position the pond an appropriate distance away from residential and commercial areas, schools, hospitals and other public areas (Jolly et al. 2000 Christen et al. 1999). 

MatchPlanner is a schema matcher based on decision trees to combine similarity measures. Although it has been extended by machine learning techniques to generate these decision trees [Duchateau 2009], users can provide their own decision trees to the system [Duchateau et al. 2008a], There is no weight on the measures, but their order and position in the decision tree are crucial. Manually designing such decision trees is interesting when one wants to promote time performance or use a specific similarity measure. 

In modern chemistry the positional isomer delegations (ortho, meta and para) are becoming obsolete, since the positions can be indicated by a simple numbering system. Hence in the case of terpinene-4-ol, the major constituent of tea tree oil, the number 4 designates the position of attachment of the hydroxyl group to the ring, and the term para is not required. 

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