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Different techniques of using fuzzy set theory for this purpose are described.
The accuracy of the detected boundaries was spatially assessed using fuzzy set theory.
These functions are formulated as a single objective optimization problem using fuzzy set theory.
Here, a cost recovery criterion is developed using fuzzy set theory as an uncertainty representation tool.
During the past three decades, several scientific works have been published in different fields of ANOVA using fuzzy set theory.
Expert knowledge is elicited in the form of qualitative scenarios and translated into quantitative projections using fuzzy set theory.
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In this paper, a novel UA risk assessment model has been developed using fuzzy set theories.
This study uses fuzzy set theory to handle fuzziness of human perceptions since the GSCP attributes usually expressed in linguistic preferences.
As a theoretical framework the system uses fuzzy set theory and other soft computing techniques.
The system proposed in this paper uses fuzzy set theory to formalize knowledge acquired from experience and assess earthquake damage from ground conditions and ground motion characteristics.
The model uses fuzzy set theory to capture the uncertainty associated with the transition rules and employs two automated methods of calibration: a genetic algorithm and simulated annealing.
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