scholarly journals Decision Under Uncertainty

Author(s):  
Christophe Gonzales ◽  
Patrice Perny
2007 ◽  
Author(s):  
Fred D. Davis ◽  
John A. Aloysius ◽  
Srinivasan Venkatraman

Author(s):  
İ. Burhan Türkşen ◽  
İbrahim Özkan

Decision under uncertainty is an active interdisciplinary research field. A decision process is generally identified as the action of choosing an alternative that best suites our needs. This process generally includes several areas of research including but not limited to Economics, Psychology, Philosophy, Mathematics, Statistics, etc. In this chapter the authors attempt to create a framework for uncertainties which surrounds the environment where human decision making takes place. For this purpose, the authors discuss how one ought to handle uncertainties within Fuzzy Logic. Furthermore, they present recent advances in Type 2 fuzzy system studies.


Author(s):  
N. B. Rachana ◽  
K. G. Srinivasa ◽  
S. Seema

The Airplane Health Surveillance System is an information system which is designed to guide the pilot to make decision under uncertainty. The system is expected to detect the defect along with cause for the delay and airplane crashes which has high impact on society. The system is capable of detecting and diagnosing the defects which may be initiated during a flight. There by trigger a maintenance procedure to safeguard the airplane from possible odds by analyzing the effects caused by the defect detected. Airplane health surveillance system collects data in real-time from flying fleet and makes it available to ground operations. Ground system aims at incorporating new technical and functional features to provide best in class features for operational and strategic insight. In this work two actors are considered namely supplier (airplane manufacturer who delivers the services) and operator (operates the airplane in day to day life). This is a user friendly though has a very powerful impact on the aerospace division by eliminating the uncertain economic loss.


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