A fuzzy cognitive maps (FCM) is a cognitive map within the relations between the elements. FCM has been widely used in many applications such as experts system and knowledge engineering. However, classical FCM is inherently short of sufficient capability of representing and aggregating uncertain information. In this paper, generalized FCM (GFCM) is proposed based on genetic algorithm and interv...

We evaluated the validity and accuracy of cytomorphology and multiparametric flow cytometry (C-FCM) in diagnosing oncohematologic disease in 223 consecutive lymph node biopsy specimens from patients with lymphadenopathy, from 2004 to 2007. C-FCM and histopathologic studies were interpreted independently by hematologists and pathologists, respectively. C-FCM detected neoplastic disorders in 133 ...

We investigated the accuracy and precision of flow cytometric (FCM) estimates of bacterial abundances using 4', 6-diamidino-2-phenylindole (DAPI) and Hoechst 33342 (HO342, a bisbenzamide derivative) on paraformaldehyde-fixed seawater samples collected from two stations near Oahu, Hawaii. The accuracy of FCM estimates was assessed against direct counts by using epifluorescence microscopy. DAPI a...

Sample preparation protocols for flow cytometry (FCM) analysis with five algal viruses were optimized: Heterocapsa circularisquama virus (HcV), Heterosigma akashiwo virus (HaV), Chaetoceros salsugineum nuclear inclusion virus (CsNIV), Rhizosolenia setigera RNA virus (RsRNAV) and H. circularisquama RNA virus (HcRNAV). The optimum staining protocols differed significantly among the viruses tested...

Researchers have observed that multistage clustering can accelerate convergence and improve clustering quality. Two-stage and two-phase fuzzy C-means (FCM) algorithms have been reported. In this paper, we demonstrate that the FCM clustering algorithm can be improved by the use of static and dynamic single-pass incremental FCM procedures. Keywords-Clustering; Fuzzy C-Means Clustering; Incrementa...