Additive and nonadditive fuzzy hidden Markov models
IEEE Transactions on Fuzzy Systems
Estimation of fuzzy measures using covariance matrices in Gaussian mixtures
Applied Computational Intelligence and Soft Computing
Choquet fuzzy integral based verification of handwritten signatures
Journal of Intelligent & Fuzzy Systems: Applications in Engineering and Technology
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In this paper, we introduce a new class of fuzzy measures, referred to as q-measures, based on a modification of the definition of the well-known Sugeno λ-measure. Our proposed definition of the q-measures not only includes the λ-measure as a special case, but also preserves all desirable properties and avoids some of the limitations of the conventional λ-measure. The q-measure approach provides a more flexible and powerful method for constructing various fuzzy measures. We provide an iterative algorithm for constructing an interesting sequence of q-measures and analytically prove its convergence as a distinguishing characteristic of the proposed formulation.