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Title: quick reduct by rough set theory in java code
Page Link: quick reduct by rough set theory in java code -
Posted By: sheny
Created at: Thursday 17th of August 2017 06:52:30 AM
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i need java code to find the reducts.can you plz provide me with it ....etc

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Title: matlab code for quick reduct algorithm in rough set
Page Link: matlab code for quick reduct algorithm in rough set -
Posted By: tamannal
Created at: Thursday 05th of October 2017 03:23:19 AM
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matlab code for quick reduct algorithm in rough set

Abstract

In order to get a value reduction quickly, this paper puts forwards a new algorithm of value reduction based on attribute-value-tree model in attribute order and proves it's correctness. A attribute reduction and value reduction can be got quickly at the same time from a discrete table in this algorithm. The computational complexity of reduction is changed to O( U 2 C ) where U and C are the number of objects and attributes. It is fit to process large data and validated to impro ....etc

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Title: source code for quick reduct in rough set theory
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Posted By: kuldeep
Created at: Thursday 05th of October 2017 03:26:53 AM
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Introduction
Rough Set theory, proposed by Pawlak, is an effective approach for data analysis and its main goal is synthesizing approximation of a crisp set in terms of a pair of sets which give the upper and lower approximation of the original set. The starting point of Rough Set theory is an observation that the objects having the same description (same attribute-values) are indiscernible (similar) with respect to the set of defined attributes and this process is very hard and sensible when some attribute-values are missing. With Rough Set Sa ....etc

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Title: matlab rough set clustering code
Page Link: matlab rough set clustering code -
Posted By: soumyakanta biswal
Created at: Thursday 05th of October 2017 05:37:50 AM
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Implementation of rough fuzzy k-means clustering algorithm in Matlab

With the assistance of the lower and upper approximation of rough sets, the rough fuzzy k-means clustering algorithm may improve the objective function and further the distribution of membership function for the traditional fuzzy k-means clustering. However, the algorithm only has theoretical ideas rather than concrete realizations. To make it better applied to practice, using Matlab, a mathematical programming tool, to implement rough fuzzy k-means clustering algorithm is ....etc

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Title: ppt on rough set theory in quick reduct algorithm
Page Link: ppt on rough set theory in quick reduct algorithm -
Posted By: shuklaec
Created at: Thursday 05th of October 2017 03:56:56 AM
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please send the ppt on rough set theory in quick reduct algorithm
please send the rough set theory in quick reduct algorithm ....etc

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Title: ROUGH SET BASED GRID COMPUTING SERVICE
Page Link: ROUGH SET BASED GRID COMPUTING SERVICE -
Posted By: dmax
Created at: Thursday 17th of August 2017 04:58:17 AM
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ABSTRACT:
The computational grid is rapidly evolving into a service-oriented computing infrastructure that facilitates resource sharing and large-scale problem solving over the Internet. Service discovery becomes an issue of vital importance in utilizing grid facilities.
In this project presents ROSSE, a Rough sets-based search engine for grid service discovery. Building on the Rough sets theory, ROSSE is novel in its capability to deal with the uncertainty of properties when matching services. In this way, ROSSE ca ....etc

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Title: matlab code for rough set theory
Page Link: matlab code for rough set theory -
Posted By: erabhishekvashisth
Created at: Thursday 17th of August 2017 06:26:46 AM
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Sir,
I need matlab code and graph for Rough set theory in product mix problems for the selection of best attributes.
Thanking you
with regards
P.Seethalakshmi
mail id:[email protected]

Sir,
I need matlab code and graph for Rough set theory in product mix problems for the selection of best attributes.
Thanking you
with regards
P.Seethalakshmi
mail id:[email protected]
....etc

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Title: quick reduct algorithm using in matlab
Page Link: quick reduct algorithm using in matlab -
Posted By: Tushar
Created at: Thursday 17th of August 2017 05:24:03 AM
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quick reduct algorithm using in matlab

Abstract

Feature Selection the process of finding the optimal subset for a given supplied data. In this paper we discuss
about basic concepts and applications of Rough Set Theory in Feature Selection. The main advantage of Rough Set
Feature Selection is it requires no additional parameters other than the original data. Rough Set is especially useful for domains where data collected are imprecise or incomplete about the domain objects. In this paper Quick-Reduct
Algorithm is used to reduce the number of g ....etc

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Title: fuzzy set theory and its applications ppt
Page Link: fuzzy set theory and its applications ppt -
Posted By: sachi5
Created at: Thursday 17th of August 2017 08:34:30 AM
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To get full information or details of fuzzy set theory and its applications please have a look on the pages

http://seminarsprojects.net/Thread-fuzzy-set-theory

if you again feel trouble on fuzzy set theory and its applications please reply in that page and ask specific fields in fuzzy set theory and its applications ....etc

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Title: matlab codes for data mining rough set free download
Page Link: matlab codes for data mining rough set free download -
Posted By: thematrix333
Created at: Thursday 05th of October 2017 04:37:53 AM
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matlab codes for data mining rough set free download

Abstract

Large amounts of data about the patients with their medical conditions are presented in the Medical databases. Analyzing all these databases is one of the difficult tasks in the medical environment. In order to warehouse all these databases and to analyze the patient s condition, we need an efficient data mining technique. In this paper, an efficient data mining technique for warehousing clinical databases using Rough Set Theory (RST) and Fuzzy Logic is proposed. Our proposed meth ....etc

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