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Real-time image processing systems using fuzzy and rough sets techniques
2018
Soft Computing - A Fusion of Foundations, Methodologies and Applications
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This special issue is intended to provide a highly recognized international forum to presenting innovative developments of fuzzy set applications in real-time image processing systems. ...
it reliably within the short deadlines of practical multimedia applications. ...
Acknowledgements We would like to express our appreciation to all the authors for their informative contributions and the reviewers for their support and constructive critiques in making this special issue ...
doi:10.1007/s00500-017-2999-3
fatcat:tlq5qkje6rei7cjots7i7qqzqu
Picture fuzzy set-based decision-making approach using Dempster–Shafer theory of evidence and grey relation analysis and its application in COVID-19 medicine selection
2021
Soft Computing - A Fusion of Foundations, Methodologies and Applications
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This article proposes a decision-making approach for preferable medicine selection using picture fuzzy set (PFS), Dempster-Shafer (D-S) theory of evidence and grey relational analysis (GRA). ...
In this process, we propose an alternative group decision-making approach by the evidence of the neutral membership grade which is measured by the D-S theory and the conflict and contradiction among the ...
Consequently, the application of fuzzy set theory and its extensions increased rapidly in the decision-making methods in various domains like medical diagnosis (Das et al. 2013) , pattern recognition ...
doi:10.1007/s00500-021-05909-9
pmid:34108847
pmcid:PMC8178672
fatcat:du73rielt5fz7eqtebwuezot7u
Neutrosophic Logic Theory and Applications
2021
Zenodo
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It has different application areas due to its ability to capture the stochasticity in many complex real-life use cases. This paper presents the main types of neutrosophic sets. ...
It also surveys and analyzes its most common applications. ...
"New similarity and entropy measures of single-valued neutrosophic sets with applications in multi-attribute decision-making." Soft Computing 24.21 (2020): 16165-16176. 55. Arulpandy, P. ...
doi:10.5281/zenodo.4625673
fatcat:wtskzysivbbmzigpube2llbmke
Proposal for Applicability of Neutrosophic Set Theory in Medical AI
2011
International Journal of Computer Applications
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Fuzzy architecture has been extensively researched and applied in medical domain. ...
This paper suggests incorporating a new logic: Neutrosophic logic in medical domain and also discusses the possibility of extending the capabilities of the fuzzy systems by employing neutrosophic systems ...
at hand while making decision. d. ...
doi:10.5120/3299-4505
fatcat:fla6b5iahvbunnib5sycjssyym
Handling of uncertainty in medical data using machine learning and probability theory techniques: A review of 30 years (1991-2020)
[article]
2020
arXiv
pre-print
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Proper quantification of uncertainty provides valuable information for optimal decision making. ...
Machine learning and probability theory methods have widespread application for this purpose in different fields. ...
Data availability The authors declare that all data supporting the findings of this study are available within the paper and its Supplementary Information. ...
arXiv:2008.10114v1
fatcat:pgiep5djj5bdpe7qr4n2f4buky
Intuitionistic fuzzy theory for soft-computing: more appropriate tool than fuzzy theory
2019
International Journal of Computing and Optimization
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The role of both µ(x) and ν(x) are very fluent in solving decision problems in almost all application areas of fuzzy theory. ...
In the Theory of CIFS it is justified that while solving any decision making problem, the selection of a suitable soft-computing set theory or crisp theory is made by the concerned decision maker by his ...
In Intuitionistic Fuzzy Set theory ν(x) is evaluated independently as a part of decision making process (as an element of soft-computing). ...
doi:10.12988/ijco.2019.955
fatcat:gahn6us5bjetvetuqadojus74e
Handling of uncertainty in medical data using machine learning and probability theory techniques: a review of 30 years (1991–2020)
2021
Annals of Operations Research
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Nowadays, various novel deep learning techniques have been proposed to deal with such uncertainties and improve the performance in decision making. ...
The sources of noise in the medical data need to be known to address this issue. Based on the medical data obtained by the physician, diagnosis of disease, and treatment plan are prescribed. ...
Li et al. (2015) presented a framework based on fuzzy soft set and DST to help the clinicians in medical diagnosis. It has proved to be effective and feasible application in medical diagnosis. ...
doi:10.1007/s10479-021-04006-2
pmid:33776178
pmcid:PMC7982279
fatcat:wq2eweu7hfduvbhwo5oaqaltoe
Comparative Study of Recent Trends on Cancer Disease Prediction using Data Mining Techniques
2016
International Journal of Database Theory and Application
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It has shown its significance and potential in health care industries to serve as a guiding and decision making component. ...
This survey paper presents the importance and usefulness of different Data mining techniques such as classification, clustering, Decision Tree, Naive Bayes etc. in health domain. ...
Predicting Oral Cancer Using NN, Fuzzy Logic, Soft Computing Techniques [13] Authors in their work used several data mining approaches like classification, classification rule mining, soft-computing techniques ...
doi:10.14257/ijdta.2016.9.9.10
fatcat:tldkbuwbtrfztikhagq56nxybu
Disease Diagnosis using Soft Computing Model: A Digest
2014
International Journal of Computer Applications
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Some of the soft computing methods are Genetic Algorithms, Artificial Neural Networks, Fuzzy Sets, Rough Sets inductive logic programming Fractal Theory, Chaos Theory, Probability Theory, Possibility Theory ...
Recent developments of diagnosis system have set aside physician's decision by maintaining patient's medical histories to use in latest years. ...
doi:10.5120/17855-8828
fatcat:hdyp2ce3v5dadgzyteeqpbz3cy
An Approach for Leukemia Classification Based on Cooperative Game Theory
2011
Analytical Cellular Pathology
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The result demonstrates that cooperative game is very promising to be used directly for classification of leukemia as a part of Active Medical decision support system for interpretation of flow cytometry ...
The experimental results show the accuracy rate of 93.12%, for classification and compared to decision tree (C4.5) with (90.16%) in accuracy. ...
Acknowledgments Special thanks to the Iran Blood Transfusion Organization (IBTO) for the information and data sets provided. ...
doi:10.1155/2011/212174
pmid:21988887
pmcid:PMC4605502
fatcat:rrt4ig3zzrhm3nrefet6nkp6ca
Rough Set Theory — Fundamental Concepts, Principals, Data Extraction, and Applications
[chapter]
2009
Data Mining and Knowledge Discovery in Real Life Applications
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, grade of membership or the value of possibility in fuzzy set theory. ...
The subject of this chapter is to present the Rough Set Theory, important concepts, and Rough Set Theory used with tools for data mining, special applications in analysis of data in dengue diagnosis. ...
Below is presented and described the types of approximations are followed using in Rough Set Theory; the approximations concepts are applied in the Table 3 , shown to proceed: attribute that is different ...
doi:10.5772/6440
fatcat:wn2dgx5u3rdk5egnzzmq7ko4my
A Survey on Applications of Adaptive Neuro Fuzzy Inference System
2015
International Journal of Hybrid Information Technology
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In real world computing environment, soft computing techniques including neural network, fuzzy logic algorithms have been widely used to derive an actual decision using given input or output data attributes ...
In this paper we presented an architecture and basic learning process underlying in fuzzy inference system and adaptive neuro fuzzy inference system which is a hybrid network implemented in framework of ...
Acknowledgments Navneet Walia author wishes to express her sincere gratitude to Harsukhpreet Singh, Assistant Professor, CT Institute of Technology and Research and Mr. ...
doi:10.14257/ijhit.2015.8.11.30
fatcat:oycbgs7p6zhzhkokojq35pshwq
Performance Evaluation of Fuzzy based Ontology System for Identification of Malaria Disease
2014
International Journal of Computer Applications
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Many time this system fail due to confusing symptom which make the fuzzy problem for classification. In this paper fuzzy based ontology system is presented. ...
The fuzziness of the symptoms is solving by generating and optimizing the rule base. The Malaria disease has been used to evaluate the performance of classifier. ...
Prakash Phanse for his kind support and useful technical discussion during the course of this work, Thanks are also due to friends and colleagues of our department for their cooperation, fruitful technical ...
doi:10.5120/18857-8528
fatcat:dkljasmggvcqjmsk7gecotpz6e
A Survey on Case-based Reasoning in Medicine
2016
International Journal of Advanced Computer Science and Applications
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in particular in the domain of medicine. ...
In this paper, we extensively survey the literature on CBR systems that are used in the medical domain over the past few decades. ...
We suggest the use of fuzzy decision trees for this; wherein fuzzy decision rules can be generated, and rough set techniques can be used to simplify these rules. ...
doi:10.14569/ijacsa.2016.070820
fatcat:jl6ik24bqveoffimndhjbfq2gy
Effective Analysis of Lung Infection using Fuzzy Rules
2015
International Journal of Bio-Science and Bio-Technology
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Nowadays different types of soft computing techniques such as neural network, fuzzy logic, genetic algorithm and hybrid system are largely used in medical areas. ...
Soft Computing is a consortium of methodologies which works synergistically and provides an ability to make decision from reliable data or expert's experience. ...
A survey on application of fuzzy logic in medical diagnosis was performed by V. ...
doi:10.14257/ijbsbt.2015.7.6.10
fatcat:5jdznkh73bcl5ee6s5oietbsiu
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