Proceedings of the 7th conference of the European Society for Fuzzy Logic and Technology (EUSFLAT-11)

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156 articles

Intersection and union of type-2 fuzzy sets and connection to (1, 2)-double cuts

Zdenko Takac
It is known that the standard intersection and union of type-1 fuzzy sets (i.e., the intersection and union under the minimum t-norm and maximum tconorm) are the only cutworthy operations for type-

Fuzzy inference systems for synthetic monthly inflow time series generation

Ivette Luna, Rosangela Ballini, Secundino Soares, Donato Da Silva Filho
Inflow data plays an important role in water and energy resources planning and management. In general, due to the limited availability of historical inflow data, synthetic streamflow time series have been widely used for several applications such as mid- and long-term hydropower scheduling and the identification...

Modelling and aggregation of heterogeneous fuzzy data

Arne-Jens Hempel, Gernot Herbst, Steffen F. Bocklisch
This article proposes an individual fuzzy modelling and treatment of data allowing for the specific uncertainty of each datum. A modelling approach based on parametric fuzzy sets is being introduced which can be employed to model both data with individual uncertainties as well as abstract phenomena...

A fast fuzzy c-means algorithm for color image segmentation

Hoel Le Capitaine, Carl Frélicot
Color image segmentation is a fundamental task in many computer vision problems. A common approach is to use fuzzy iterative clustering algorithms that provide a partition of the pixels into a given number of clusters. However, most of these algorithms present several drawbacks: they are time consuming,...

A new method coupling simulation and a hybrid metaheuristic to solve a multiobjective hybrid flowshop scheduling problem

Xiaohui Li, Hicham Chehade, Farouk Yalaoui, Lionel Amodeo
In this paper, we have studied a multiobjective hybrid flowshop scheduling problem where n independent jobs should be executed in a hybrid assembly line. The aim of our work is to optimize the makespan and the total tardiness of the whole production. A simulation based optimization algorithm is proposed...

Towards an Axiomatization for the Generalization of the Kullback-Leibler Divergence to Belief Functions

Hélène Soubaras
In his information theory, Shannon [1] defined a notion of uncertainty, the entropy, which has been generalized in several wways to belief functions [2]. He also defined the channel capacity for which we propose in this paper the first generalization to belief functions. To do that, we need first to...