Title of article :
Fuzzy logic to improve the robustness of decision support systems under uncertainty
Author/Authors :
A. C. Garavelli، نويسنده , , M. Gorgoglione، نويسنده , , B. Scozzi، نويسنده ,
Issue Information :
ماهنامه با شماره پیاپی سال 1999
Pages :
4
From page :
477
To page :
480
Abstract :
Companies deal with many decision-making processes whose impact on the global performance can be very strong. As a consequence, the role of Decision Support Systems (DSSs) within the organization is critical. The ability of managing uncertainty turns to be a crucial issue for a DSS. In particular, the design of a DSS, that requires the formalization of the expertʹs preferences is usually affected by uncertainty. In this case, evaluating the systemʹs robustness is an effective way to evaluate its ability in managing uncertainty. In this paper fuzzy logic is proposed as a technique to design a robust DSS. A quantitative method and an experiment to compare the robustness of a DSS based on fuzzy logic and the one of a weighting method are proposed.
Keywords :
Decision Support Systems , Fuzzy logic , robustness , Uncertainty , weighting method
Journal title :
Computers & Industrial Engineering
Serial Year :
1999
Journal title :
Computers & Industrial Engineering
Record number :
925142
Link To Document :
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