Title :
Q-measures: an efficient extension of the Sugeno λ-measure
Author :
Mohamed, Magdi A. ; Xiao, Weimin
Author_Institution :
Motorola Adv. Technol. Center, Schaumburg, IL, USA
fDate :
6/1/2003 12:00:00 AM
Abstract :
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.
Keywords :
fuzzy control; fuzzy logic; Sugeno λ-measure; fuzzy measures; iterative algorithm; q-measures; Algorithm design and analysis; Associate members; Convergence; Density measurement; Fuzzy sets; Helium; Image sequence analysis; Iterative algorithms; Pattern recognition; Polynomials;
Journal_Title :
Fuzzy Systems, IEEE Transactions on
DOI :
10.1109/TFUZZ.2003.812701