# Rough Set

### A New Method of Translating Covering Rough Set into Classical Rough Set

**rough**sets enrich the applicable scope of classic

**rough**

**set**, but they lose some excellent properties. Therefore, covering translates to partition has become one of the key ...

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### BAT ALGORITHM FOR ROUGH SET ATTRIBUTE REDUCTION

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### A Rough Set View on Bayes Theorem

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**set**approach. In the Bayesian inference, the data are used to update prior knowledge (probability) into a ...

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### A Variable Precision Fuzzy Rough Set Approach to a Fuzzy Rough Decision Table

**rough**and ...precision

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**set**) approach is proposed based on substitution of the indiscernibility relation by a fuzzy indiscernibility relation in the

**rough**approximation of decision ...

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### Quantization of Rough Set Based Attribute Reduction

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**set**can hold complete analy- sis, since it considers missing value as “everything is possible” [8, ...9].

**Rough**

**set**is proposed by Pawlak [10] as a mathematical theory of ...

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### Autonomous clustering using rough set theory

**rough**

**set**theory are used to form the ...that

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**set**theory reflects global data properties, the clustering solution is unaffected by local ...

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### Rough Set Approach in Machine Learning: A Review

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**set**rule induction algorithm generates decision rules, which can reveal profound knowledge and provide new insights ...on

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**set**theory (PRIMEROSE) and developed a program that ...

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### Chikungunya Diagnosing using Rough Set Approach

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### A Rough Set Formalization of Quantitative Evaluation with Ambiguity

**rough**sets, distinguishing the annotation equivalence relation (in- trinsic criteria) and the reward function (extrinsic criteria), second we presented the notion of potential performance space to describe the ...

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### Rough set approach for categorical data clustering

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### Rough Set Based Opinion Mining in Tamil

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**set**theory is useful to extract the key sentences and its feature attribute after getting the opinion from the post will be ...the

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**set**theory is used for avoiding the ...

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### Fuzzy-Rough Set Bireducts for Data Reduction

**rough**sets is largely the result of a series of desirable theoretical ...traditional

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**set**theory is that it can only be applied to crisp or discrete-valued ...

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### Liquefaction Prediction Using Rough Set Theory

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**set**analysis in Tables 2(a) and 2(b) are a result of real data from past earthquakes with the same classications as the simplied method proposed by Youd et ...

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### Empirical analysis of rough set categorical clustering techniques based on rough purity and value set

**rough**categorical clustering, mainly the data

**set**is expressed as the decision table by introducing a decision ...data

**set**aiming to find a cluster which best represents the data according to some ...

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### Retrieving the Missing Information from Information Systems Using Rough Set, Covering Based Rough Set and Soft Set

**set**theory has potential applications in many different fields which include the smoothness of functions, game theory, operations research, Riemann integration, Peron integration, probability theory, and ...

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### Concept Lattice: A rough set approach

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### BAT ALGORITHM FOR ROUGH SET ATTRIBUTE REDUCTION

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### BAT ALGORITHM FOR ROUGH SET ATTRIBUTE REDUCTION

**set**was used to generate FIS output. For ...

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### BAT ALGORITHM FOR ROUGH SET ATTRIBUTE REDUCTION

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### BAT ALGORITHM FOR ROUGH SET ATTRIBUTE REDUCTION

**set**its value as 10, parameters of PID valued as p=10; i=0.01; d=3. The module of Pid1 ...

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