Application of fuzzy membership matrix in medical diagnosis and decision making

Elizabeth, S.; Sujatha, L.

doi:10.12988/ams.2013.38485

Cited by 15 publications

(5 citation statements)

References 7 publications

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“…After that full formulationofthediagnosismodelsinvolvingfuzzymatricesrepresentingthemedicalknowledge betweensymptomsanddiseaseshavebeendonebySanchez (1976,1979).Thereafter,numerous applicationsofFS,IVFSandIFShavebeenseeninmedicaldiagnosis.Forexample,YaoandYao (2001)discusseddecisionmakingformedicaldiagnosisbasedonfuzzynumbersandcompositional rule of inference. Elizabeth and Sujatha (2013)…”

Section: Related Workmentioning

confidence: 99%

Medical Diagnosis Based on Distance Measures Between Picture Fuzzy Sets

Dutta

2018

International Journal of Fuzzy System Applications

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This article describes how most frequently uncertainty arises due to vagueness, imprecision, partial information, etc., are encountered in medical diagnosis. To deal with this type of uncertainty, initially fuzzy set theory (FST) was explored and accordingly, medical decision making became one of the most important and interesting areas of applications of FST. Interval valued fuzzy sets (IVFSs) and intuitionistic fuzzy sets (IFS's) were developed and successfully applied in different areas including medical diagnosis. Although, IFS forms a membership degree and a non-membership degree separately in such a way that sum of the two degrees must not exceed one, but one of the important and integral part i.e., degree of neutrality is not taken into consideration in IFS, which is generally occurred in medical diagnosis. In such circumstances, picture fuzzy set (PFS) can be considered as a strong mathematical tool, which adequate in situations when human opinions involved more answers of type: yes, abstain, no. For this purpose, this article, proposes some distance measures on PFS and studies some of its properties. Also, an attempt has been made to carry out medical diagnosis via the proposed distance measures on PFSs and exhibit the technique with a suitable case study. It is found that the distance measures make it possible to introduce weights of all symptoms and consequently patient can be diagnosed directly.

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Section: Related Workmentioning

confidence: 99%

Medical Diagnosis Based on Distance Measures Between Picture Fuzzy Sets

Dutta

2018

International Journal of Fuzzy System Applications

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“…Beberapa tahun terakhir dikembangkan dalam sistem berbasis pengetahuan di bidang kedokteran salah satunya adalah diagnosa medis yang awalnya hanya menggunakan metode Sanchez. S. Elizabeth dan L. Sujatha dalam [1] mengembangkan perluasan dari pendekatan metode Sanchez yang dia menggunakan prosedur triangular fuzzy number untuk masalah diagnosa medis sebelumnya maka akan dijelaskan proses bagaimana teori keanggotaan matriks triangular fuzzy menyelesaikan masalah diagnosa medis dengan prosedur yang diusulkan oleh mereka berdua [1] dan akan disertakan pula ilustrasi.…”

Section: Pendahuluanunclassified

“…Matriks Triangular Fuzzy dan Penerapannya pada Diagnosa Medis 175 5.1. Langkah-langkah penyelesaian Menurut S. Elizabeth dan L. Sujatha [1] ada beberapa langkah-langkah yang harus dilakukan dalam menerapkan matriks triangular fuzzy pada diagnosa medis, yaitu sebagai berikut.…”

Section: Penerapan Pada Diagnosa Medisunclassified

Matriks Triangular Fuzzy Dan Penerapannya Pada Diagnosa Medis

Hendriko¹

2018

JMU

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Abstrak. Beberapa operasi dasar pada bilangan triangular fuzzy akan didenisikan.Ditentukan pula sifat-sifat pada matriks triangular fuzzy seperti sifat dasar, transpose,trace, dan matriks segitiga. Dengan banyak nya aplikasi teori fuzzy pada penyelesaianmasalah di lini kehidupan manusia maka pada pengambilan keputusan di bidang di-agnosa medis akan diperlihatkan penerapan matriks triangular fuzzy dengan beberapaprosedur yang digagas S. Elizabeth dan L. Sujatha serta penggunaan Arithmetic Mean(AM).Kata Kunci: Matriks triangular fuzzy, Fungsi Keanggotaan, Diagnosa Medis, ArithmeticMean

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“…After initiation of FST various applications are encountered in medical decision making. A procedure for medical diagnosis through fuzzy decision making was studied [41]. Medical diagnosis decision making based on fuzzy numbers along with compositional rule of inference were discussed [42].…”

Section: Introductionmentioning

confidence: 99%

Medical Decision Making Using Arithmetic of Parabolic Fuzzy Numbers

Dutta

Doley

2020

SN COMPUT. SCI.

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Imprecision or uncertainty is an integral component of medical decision making. This paper attempts to bring out medical decision making using arithmetic of parabolic fuzzy numbers by preparing a list of potential symptoms of a patient. Furthermore, ranking of parabolic fuzzy number is defined. Finally, the present study seeks to find out the accurate problem of the patient through the listed symptoms and an effort has been made to address the issue via the arithmetic and ranking of PFNs.

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Application of fuzzy membership matrix in medical diagnosis and decision making

Cited by 15 publications

References 7 publications

Medical Diagnosis Based on Distance Measures Between Picture Fuzzy Sets

Medical Diagnosis Based on Distance Measures Between Picture Fuzzy Sets

Matriks Triangular Fuzzy Dan Penerapannya Pada Diagnosa Medis

Medical Decision Making Using Arithmetic of Parabolic Fuzzy Numbers

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