A Decision Process Model for De-Identification Methods on the Example of Psychometric Data

Author(s):  
Markus Schinle ◽  
Christina Erler ◽  
Simon Leenstra ◽  
Simon Stock ◽  
Marius Gerdes ◽  
...  
2020 ◽  
pp. 193672442098298
Author(s):  
Beverlee B. Anderson ◽  
Jennifer Jeffries ◽  
Janet McDaniel

Humans make thousands of decisions each day. Most of the decisions we make are trivial or relatively unimportant in possible consequences. However, there are a few decisions we make in life that are lifechanging; one of those is the decision to retire from the professoriate. Voluntarily deciding to leave a profession where one has spent a substantial portion of one’s working life is one of life’s major decisions. This qualitative research looks at the various influences, actions, and feelings through the process of deciding to retire. Using a five-stage cognitive decision-process model as a framework, this paper reports on the reflections of 20 recent retirees over the five stages of the decision process from when first seriously considering the decision to postretirement activities and feelings. The results show that while all faculty progressed through the five stages, the timeframe, influences, feelings, and actions were unique to each individual.


2014 ◽  
Vol 5 (4) ◽  
pp. 35-51 ◽  
Author(s):  
Mahdi Bashari ◽  
Mahdi Noorian ◽  
Ebrahim Bagheri

In the software product line configuration process, certain features are selected based on the stakeholders' needs and preferences regarding the available functional and quality properties. This book chapter presents how a product configuration can be modeled as a decision process and how an optimal strategy representing the stakeholders' desirable configuration can be found. In the decision process model of product configuration, the product is configured by making decisions at a number of decision points. The decisions at each of these decision points contribute to functional and quality attributes of the final product. In order to find an optimal strategy for the decision process, a utility-based approach can be adopted, through which, the strategy with the highest utility is selected as the optimal strategy. In order to define utility for each strategy, a multi-attribute utility function is defined over functional and quality properties of a configured product and a utility elicitation process is then introduced for finding this utility function. The utility elicitation process works based on asking gamble queries over functional and quality requirement from the stakeholder. Using this utility function, the optimal strategy and therefore optimal product configuration is determined.


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