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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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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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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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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GRID SERVICE DISCOVERY WITH ROUGH SETS-- KNOWLEDGE AND DATA ENGINEERING

Abstract: A rough set is a formal approximation of a crisp set (conventional set) in terms of a pair of sets which give the lower and the upper approximation of the original set. The lower and upper approximation sets themselves are crisp sets in the standard version of rough set theory, but in other variations, the approximating sets may be fuzzy sets as well. The computational grid is rapidly evolving into a service-oriented computing infrastructure that facilitates r ....etc

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i need java code to find the reducts.can you plz provide me with it ....etc

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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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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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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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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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