Titlebook: ;

Decimate

Granularity and Specificity in Fuzzy Rule-Based Systems,aining data. The trade-offs between granularity, specificity, interpretability, and efficiency are examined for rule-bases produced in each of these manners. An algorithm that combines rule learning with region merging is introduced to incorporate beneficial features of both the heuristic and learni

conformity

Granular Computing in Neural Networks,ignificant relationships in the system. In this chapter, we will test this premise by defining a granular neural network and testing it on the Iris data set. Our hypothesis is that the granular neural network will be able to learn the Iris data set, but not as accurately as a standard neural network

水獺

Fuzzy Clustering for Multiple-Model Approaches in System Identification and Control,he fuzzy .-means type. Two application examples are presented: automated design of operating points for gain scheduling in flight control systems and nonlinear black-box identification. In the latter case, a comparison with an alternative technique is given. It is shown that fuzzy clustering is an e

一大塊

Information Granulation in Automated Modeling,y automated modeling tool that takes this approach must be able to reason effectively about sensors and actuators and their interactions with the target system. The granulation level of the information involved in this process ranges from low-level data analysis techniques to abstract, qualitative o

ACTIN

Optical Music Recognition: the Case of Granular Computing,its aspects: data representation and data processing is especially emphasised in the paper. OMR is a challenge in intelligent computing technologies, especially in such fields as pattern recognition and knowledge representation and processing. Music notation is a language allowing for communication

ticlopidine

Modeling MPEG VBR Video Traffic Using Type-2 Fuzzy Logic Systems,t a type-2 fuzzy membership function, i.e., a Gaussian MF with uncertain variance, is most appropriate to model the log-value of I/P/B frame sizes in MPEG VBR video. We treat the video traffic as a dynamic system, and use a type-2 FLS to model this system. Simulation results show that a type-2 FLS p

拋媚眼

Induction of Rules about Complications with the use of Rough Sets,s: the induced rules are too short to represent the reasoning of domain experts. In this paper, the characteristics of experts’ rules are closely examined and a new approach to extract plausible rules is introduced, which consists of the following three procedures. First, the characterization of dec

Neonatal

鋼筆尖

Metaphysische Probleme der Medizinsets, probability and possibility distributions provided by the concept of a random-set. Following a brief review of basic mathematical and semantic aspects of random-set theory, we introduce an application of the theory to time series analysis.

嘲弄

Interval Arithmetic and Interval Analysis: An Introduction,erval based algorithms (mainly the interval Newton algorithm) is provided. The article is completed with a discussion of some application areas for interval analysis without claiming to be a complete survey.