A New Approach to Attribute Reduction of Covering Information System

2015 ◽  
Author(s):  
Fachao Li ◽  
Jinning Yang
Keyword(s):  
Information System ◽  
Attribute Reduction ◽  
New Approach

scholarly journals Approximate Accuracy Approaches to Attribute Reduction for Information Systems

2014 ◽  
Vol 2014 ◽  
pp. 1-6
Author(s):  
Deshan Liu ◽  
Dapeng Wang ◽  
Deqin Yan ◽  
Yu Sang
Keyword(s):  
Information System ◽  
Information Systems ◽  
Incomplete Information ◽  
Rough Sets ◽  
Attribute Reduction ◽  
New Approach ◽  
Rough Sets Theory ◽  
Incomplete Information Systems ◽  
Sets Theory ◽  
Novel Algorithm

The key problem for attribute reduction to information systems is how to evaluate the importance of an attribute. The algorithms are challenged by the variety of data forms in information system. Based on rough sets theory we present a new approach to attribute reduction for incomplete information systems and fuzzy valued information systems. In order to evaluate the importance of an attribute effectively, a novel algorithm with rigorous theorem is proposed. Experiments show the effect of proposed algorithm.

The Social-Health information System of Ausl Piacenza: the model, the choices and the development course

2012 ◽  
pp. 220-228
Author(s):  
Giovanni Maria Soro
Keyword(s):  
Information System ◽  
Health Information ◽  
Health Information System ◽  
Positive Answer ◽  
Social Health ◽  
Regional Strategy ◽  
Operating Model ◽  
New Approach ◽  
The Social ◽  
Development Course

The social-sanitary integration depends on the capacity to disegn a clear organization and to implement efficient operations system. The Sociosanitary Information System of AUSL Piacenza, based on the regional strategy and governance, would be a proposal to have a positive answer for these managerial needs. The operating model determines a new approach about health territorial services across a unitary path with the stakeholders.

On variable-precision-based rough set approach to incomplete interval-valued fuzzy information systems and its applications

2021 ◽  
Vol 40 (1) ◽  
pp. 463-475
Author(s):  
Juan Li ◽  
Yabin Shao ◽  
Xiaoding Qi
Keyword(s):  
Information System ◽  
Information Systems ◽  
Attribute Reduction ◽  
Misclassification Rate ◽  
Fuzzy Information ◽  
Attribute Weights ◽  
Variable Precision ◽  
Multiple Attribute ◽  
Rough Approximation ◽  
Interval Valued

 With respect to multiple attribute group decision making problems in which the attribute weights and the expert weights take the form of real numbers and the attribute values take the form of interval-valued uncertain linguistic variable. In this paper, we introduce the idea of variable precision into the incomplete interval-valued fuzzy information system and propose the theory of variable precision rough sets over incomplete interval-valued fuzzy information systems. Then, we give the properties of rough approximation operators and study the knowledge discovery and attribute reduction in the incomplete interval-valued fuzzy information system under the condition that a certain degree of misclassification rate is allowed to exist. Furthermore, a decision rule and decision model are given. Finally, an illustrative example is given and compared with the existing methods, the practicability and effectiveness of this method are further verified.

Information structures and uncertainty in an image information system

2021 ◽  
Vol 40 (1) ◽  
pp. 295-317
Author(s):  
Gangqiang Zhang ◽  
Zhaowen Li ◽  
Pengfei Zhang ◽  
Ningxin Xie
Keyword(s):  
Information System ◽  
Kernel Method ◽  
Attribute Reduction ◽  
Gaussian Kernel ◽  
Information Structures ◽  
Image Information ◽  
Effectiveness Analysis ◽  
Uncertainty Measurement ◽  
Properties Of Information ◽  
Information Values

An information system as a database that stands for relationships between objects and attributes is an important mathematical model. An image information system is an information system where each of its information values is an image and its information structures embody internal features of this type of information system. Uncertainty measurement is an effective tool for evaluation. This paper explores measures of uncertainty for an information system by using the proposed information structures. The distance between two objects in an image information system is first given. After that, the fuzzy Tcos-equivalence relation, induced by this system by using Gaussian kernel method, is obtained, where Gaussian kernel is based on this distance. Next, information structures of this system are described by set vectors, dependence between information structures is studied and properties of information structures are given by using inclusion degree, and application for information structures and uncertainty measures of an image information system are investigated by the information structures. Moreover, effectiveness analysis is done to show the feasibility of the proposed measures from the angle of statistics. Finally, an application of the proposed measurement for attribute reduction is given. These results will be helpful for understanding the essence of uncertainty in an image information system.

scholarly journals Automated Development of Individual Learning Paths on the Competency Approach

2013 ◽  
Vol 3 (4) ◽  
pp. 27
Author(s):  
Alexander Evgenevich Shukhman ◽  
Maria Vladimirovna Motyleva ◽  
Isabella Davidovna Belonovskaya
Keyword(s):  
Information System ◽  
Petri Net ◽  
Individual Learning ◽  
Educational Institutions ◽  
New Approach ◽  
Learning Path ◽  
Multi Level ◽  
Learning Paths ◽  
The Individual ◽  
Competency Level

This article proposes new approach to the development of student�??s individual learning path (ILP). The result of student�??s learning is defined as a set of competencies levels. The use of the multi-level system of generalized professional competencies allows to model ILP effectively and to automate the development of an optimal ILP. Each competency level in our model introduces some substantial units called subunits. The process of learning is a sequence of transitions from one student�??s state to another through a study of one or more courses. It is possible to present the relation of competency levels and courses in our model as Petri net. Using the Petri net model it is possible to automatically generate the individual learning path including the courses that the student needs to attend according to the set of certain competency levels. For searching of an optimum individual learning path we use algorithm based on tree of reachability for Petri net. The developed model and algorithm were used in the prototype of the information system for automating the construction of individual learning paths. The developed information system may be used for the construction of individual student's learning paths in educational institutions of higher education.

Formal Reconfiguration of Enterprise Information System Flow Based on OKM and Binary Tree

2011 ◽  
Vol 181-182 ◽  
pp. 673-678 ◽  
Author(s):  
Chao Gai Xue ◽  
Hai Wang Cao
Keyword(s):  
Information System ◽  
Binary Tree ◽  
Formal Representation ◽  
Enterprise Information System ◽  
Enterprise Information ◽  
New Approach ◽  
Order Management ◽  
Object Based ◽  
System Flow ◽  
Management Flow

This paper deals with a new approach to formal reconfiguration of enterprise information system (EIS) flow based on object-based knowledge meshes (OKM) and binary tree. Firstly, information system flow and its corresponding OKM form are discussed. Then the relations between knowledge points are defined, and the approach to structure expression of OKM is proposed, by which the EIS flows can be formally represented. And then, based on the formal representation, EIS flows can be reconfigured according to mapping rules between practical flow and structure expression of OKM. Finally, an order management flow in an EIS is taken as an example to show the feasibility and effectiveness of the approach.

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