Information Granule Decomposition

نویسندگان

  • Andrzej Skowron
  • Jaroslaw Stepaniuk
چکیده

Information sources provide us with granules of information that must be transformed, analyzed and built into structures that support problem solving. One of the main goals of information granule calculi is to develop algorithmic methods for construction of complex information granules from elementary ones by means of available operations and inclusion (closeness) measures. These constructed complex granules represent a form of information fusion. Such granules should satisfy some constraints like quality criteria or/and degrees of granule inclusion in (closeness to) a given information granule. Information granule decomposition methods are important components of those methods. We discuss some information granule decomposition methods.

برای دانلود رایگان متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

INTERVAL ANALYSIS-BASED HYPERBOX GRANULAR COMPUTING CLASSIFICATION ALGORITHMS

Representation of a granule, relation and operation between two granules are mainly researched in granular computing. Hyperbox granular computing classification algorithms (HBGrC) are proposed based on interval analysis. Firstly, a granule is represented as the hyperbox which is the Cartesian product of $N$ intervals for classification in the $N$-dimensional space. Secondly, the relation betwee...

متن کامل

Accelerated decomposition techniques for large discounted Markov decision processes

Many hierarchical techniques to solve large Markov decision processes (MDPs) are based on the partition of the state space into strongly connected components (SCCs) that can be classified into some levels. In each level, smaller problems named restricted MDPs are solved, and then these partial solutions are combined to obtain the global solution. In this paper, we first propose a novel algorith...

متن کامل

A Novel Approach to Handle Imbalanced Data for Classification

This paper attempts to propose a particle swarm K-means optimization (PSKO)-based granular computing (GrC) model to preprocess the skewed class distribution in order to enhance the classification accuracy for class imbalance problem. The GrC model acquires knowledge from information granules rather than from numerical data. It also processes multi-dimensional and sparse data by using singular v...

متن کامل

Evaluation of the effect of granulation processing parameters on the granule properties: Lactose- Cornstarch case study

Understanding the relationship between processing parameters of fluidized bed wet granulation and the characteristics of intermediate and final products is crucial in the pharmaceutical processes. This research examined a fluidized bed wet granulation process containing a cornstarch solution as binder and lactose particles as powder. The design of experiment (DoE) was performed according to an ...

متن کامل

Experimental Studies on the Effects of Process Parameters on Granule Properties in a Conical High Shear Granulator

Experimental work was carried out to investigate the influence of impeller speed, granulation time, binder mass and their interactions on granule size distribution, mean size and binder content distribution in a conical high shear granulator. It was observed that the response of high shear granulation to changes in process parameters varies significantly from one operating condition to anot...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

عنوان ژورنال:
  • Fundam. Inform.

دوره 47  شماره 

صفحات  -

تاریخ انتشار 2001