36th Annual Hawaii International Conference on System Sciences, 2003. Proceedings of the (2003)
Big Island, Hawaii
Jan. 6, 2003 to Jan. 9, 2003
Richard Aló , University Houston Down Town
Andre de Korvin , University Houston Down Town
François Modave , University of Texas at El Paso
Robust and resilient interconnected structures rely on decision procedures, both under uncertainty and multicriteria. In decision under uncertainty, we aim at finding a scoring procedure to determine an optimal decision without prior knowledge on the actual state of the world. In multicriteria decision making, the state of the world is known but we aim at ranking alternatives defined over a multidimensional set. Therefore, the problem is to find an appropriate aggregation procedure. In practical applications, we have to deal with decision problems where the state of the world is not known, and the alternatives are multidimensional. It is well known that the probability approach to these problem leads to paradoxes, that are related to independence properties required on the preferences. This naturally leads us to drop additivity and therefore, replace probabilities with non-additive measures.<div></div> The aim of this paper is to present several benefit functions to identify optimal actions, in the fuzzy measure and fuzzy logic perspective.
F. Modave, A. de Korvin and R. Aló, "Decision Making for Robust Resilient Systems," 36th Annual Hawaii International Conference on System Sciences, 2003. Proceedings of the(HICSS), Big Island, Hawaii, 2003, pp. 57c.