Fuzzy Fleiss-kappa for Comparison of Fuzzy Classifiers.

In this paper we show a straight forward extension of the fuzzy Cohen's-κ to Fleiss'-κ for the determination of classification agreements of fuzzy classifiers. In addition we investigate the influence of different inter- pretations of fuzzy intersection in terms of t-norms. These considerations are done for exemplary artificial data as well as for classification in image recognition for counting pollen grains.