A Rough Set based Fuzzy Inference System for Mining Temporal Medical Databases

 U Keerthika1 R Sethukkarasi2 and A Kannan2, 1R.M.K. Engineering College, Kavaraipettai, India, 2Anna University, India

ABSTRACT

The main objective of this research work is to construct a Fuzzy Temporal Rule Based Classifier that uses fuzzy rough set and temporal logic in order to mine temporal patterns in medical databases. The lower approximation concepts and fuzzy decision table with the fuzzy features are used to obtain fuzzy decision classes for building the classifier. The goals are pre-processing for feature selection, construction of classifier, and rule induction based on increment rough set approach. The features are selected using Hybrid Genetic Algorithm. Moreover the elementary sets are obtained from lower approximations are categorized into the decision classes. Based on the decision classes a discernibility vector is constructed to define the temporal consistency degree among the objects. Now the Rule Based Classifier is transformed into a temporal rule based fuzzy inference system by incorporating the Allen’s temporal algebra to induce rules. It is proposed to use incremental rough set to update rule induction in dynamic databases. Ultimately these rules are categorized as rules with range values to perform prediction effectively. The efficiency of the approach is compared with other classifiers in order to assess the accuracy of the fuzzy temporal rule based classifier. Experiments have been carried out on the diabetic dataset and the simulation results obtained prove that the proposed temporal rule-based classifier on clinical diabetic dataset stays as an evidence for predicting the severity of the disease and precision in decision support system.

KEYWORDS

Fuzzy Rough Sets, Lower approximations, Rule Based Classifier, Allen’s Temporal Algebra

Original Source URL: https://airccse.org/journal/ijsc/papers/3312ijsc04.pdf

https://airccse.org/journal/ijsc/current2012.html

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International Journal on Soft Computing ( IJSC )

International Journal on Soft Computing ( IJSC )

ISSN: 2229 - 6735 [Online] ; 2229 - 7103 [Print]

http://airccse.org/journal/ijsc/ijsc.html

Scope & Topics

Soft computing is likely to play an important role in science and engineering in the future. The successful applications of soft computing and the rapid growth suggest that the impact of soft computing will be felt increasingly in coming years. Soft Computing encourages the integration of soft computing techniques and tools into both everyday and advanced applications. This journal serves as a platform that fosters new applications for all scientists and engineers engaged in research and development in this fast growing field

Topics considered include but are not limited to:

●     Fuzzy Systems ●     Neural Networks ●     Machine learning ●     Probabilistic Reasoning ●     Evolutionary Computing ●     Pattern recognition ●     Hybrid intelligent systems, ●     Software agents ●     Morphic Computing ●     Image processing, ●     E-commerce, e-medicine

●     Rough Sets ●     Symbolic machine learning, ●     Wavelet ●     Signal or Image Processing ●     Vision Recognition ●     Biomedical Engineering ●     Telecommunications ●     Reactive Distributed AI ●     Nano & Micro-systems ●     Data Visualization

Paper Submission

          Authors are invited to submit papers for this journal through E-mail: ijsc@aircconline.com or through Submission System. Submissions must be original and should not have been published previously or be under consideration for publication while being evaluated for this Journal.

Important Dates

                     

·         Submission Deadline : June 27, 2020

·         Notification                  : July 27, 2020

·         Final Manuscript Due  : August 06, 2020

·         Publication Date          : Determined by the Editor-in-Chief

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A ROUGH SET BASED FUZZY INFERENCE SYSTEM FOR MINING TEMPORAL MEDICAL DATABASES

A ROUGH SET BASED FUZZY INFERENCE SYSTEM FOR MINING TEMPORAL MEDICAL DATABASES 

U Keerthika1 R Sethukkarasi2 and A Kannan3 1 PG Student, Department of Computer Science and Engineering, R.M.K. Engineering College, Kavaraipettai, Tamil Nadu, India keerthi.umapathy@gmail.com 2 Research Scholar, Department of Information Science and Technology, Anna University, Chennai, Tamil Nadu, India sethumaaran@yahoo.co.in 3 Professor, Department of Information Science and Technology, Anna University, Chennai, Tamil Nadu, India kannan@annauniv.edu 

ABSTRACT 

The main objective of this research work is to construct a Fuzzy Temporal Rule Based Classifier that uses fuzzy rough set and temporal logic in order to mine temporal patterns in medical databases. The lower approximation concepts and fuzzy decision table with the fuzzy features are used to obtain fuzzy decision classes for building the classifier. The goals are pre-processing for feature selection, construction of classifier, and rule induction based on increment rough set approach. The features are selected using Hybrid Genetic Algorithm. Moreover the elementary sets are obtained from lower approximations are categorized into the decision classes. Based on the decision classes a discernibility vector is constructed to define the temporal consistency degree among the objects. Now the Rule Based Classifier is transformed into a temporal rule based fuzzy inference system by incorporating the Allen’s temporal algebra to induce rules. It is proposed to use incremental rough set to update rule induction in dynamic databases. Ultimately these rules are categorized as rules with range values to perform prediction effectively. The efficiency of the approach is compared with other classifiers in order to assess the accuracy of the fuzzy temporal rule based classifier. Experiments have been carried out on the diabetic dataset and the simulation results obtained prove that the proposed temporal rule-based classifier on clinical diabetic dataset stays as an evidence for predicting the severity of the disease and precision in decision support system. 

KEYWORDS 

Fuzzy Rough Sets, Lower approximations, Rule Based Classifier, Allen’s Temporal Algebra  

ORIGINAL SOURCE URL : http://airccse.org/journal/ijsc/papers/3312ijsc04.pdf

http://airccse.org/journal/ijsc/current2012.html