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Improving land change detection based on uncertain survey maps using fuzzy sets

Leyk, Stefan ; Zimmermann, Niklaus

In: Landscape Ecology, 2007, vol. 22, no. 2, p. 257-272

Unscharfe Klassifikation von Webkennzahlen

Zumstein, Darius ; Hugi, Patrik

In: HMD Praxis der Wirtschaftsinformatik, 2009, vol. 46, no. 4, p. 44-56

Aktualisierung der Empfehlungen zur standardisierten Diagnostik und Klassifikation von Kaumuskel- und Kiefergelenkschmerzen = Recommendations for the standardized evaluation and classification of painful temporomandibular disorders: an update

Türp, J. ; Hugger, A. ; Nilges, P. ; Hugger, S. ; Siegert, J. ; Busche, E. ; Effenberger, S. ; Schindler, H.

Exploring nuances of user privacy preferences on a platform for political participation

Kaskina, Aigul

(Internal working papers / DIUF ; 17-02)

A problematic gap between existing online privacy controls and actual user disclosure behavior motivates researchers to focus on a design and development of intelligent privacy controls. These intelligent controls intend to decrease the burden of privacy decision-making and generate user-tailored privacy suggestions. To do so, at first it is necessary to analyze user privacy preferences. Previous...

Conditions of intergovernmental armaments cooperation in Western Europe, 1996-2006

Thiem, Alrik

In: European Political Science Review, 2011, vol. 3, no. 1, p. 1-33

Inductive fuzzy classification in marketing analytics

Kaufmann, Michael ; Meier, Andreas (Dir.)

Thèse de doctorat : Université de Fribourg, 2012 ; Nr. 1751.

“Inductive fuzzy classification” (IFC) is the process of assigning individuals to fuzzy sets for which membership functions are based on inductive inferences. In this thesis, different methods for membership function induction and multivariate aggregation are analyzed. For univariate membership function induction, the current thesis proposes the normalized comparisons (ratios and differences)...