By means of level soft sets, we present an adjustable approach to fuzzy soft set based decision making and give some illustrative examples.
Consider, for example the recent decision by the Obama Administration and Health and Human Service's Kathleen Sebelius to overturn the FDA's scientifically based decision to provide OTC access of Plan B (emergency contraception) to all girls, not just those over seventeen.
For example, based on the DTI decision tree (see Fig. 2), patients for whom left CgC < 0.63 & right SFOF > 0.54 & right SLF > 0.5 cannot be reliably classified.
Ongoing debates over energy policy are one of many examples in which scientists bemoan a tendency for policymakers to produce ideological rather than 'evidence based' decisions, and do their best to change their minds.
Provide examples based in research.
While anchored in the situation-analysis, or case study methodology, rather than relying on what others have done, the pedagogical approach that focuses on the decision-making process presents example-based decision-occurrence's that have already occurred, or hypothetically could occur.
For example, a decision based on an apparent low-dose beneficial effect for TCDD would increase health risks because the general population is exposed to numerous dioxin-like compounds that also induce disease through activation of the aryl hydrocarbon receptor.
For example, the government recently based its decision not to join the World Trade Organisation using the screening tool.
For example, therapeutic decision is based on HER2 3+ positive results by IHC or evidence of amplification by FISH.
For example, a study that found cost savings and improvements in pain was based on decision modelling rather than individual patient data.
The Iowa Gambling Task, for example, requires decision-making based on a history of positive and negative rewards, and has shown some evidence for selective deficit following ventromedial lesions (Bechara et al., 2000).
