Medical diagnosis using intuitionistic fuzzy set in terms shortest distance measure

Deepa, G.; Praba, B.; Manimaran, A.; Chandrasekaran, V. M.; Rajakumar, K.

doi:10.5958/0974-360x.2018.00176.2

Cited by 5 publications

(3 citation statements)

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“…It is obvious that an intuitionistic fuzzy set becomes a fuzzy set if there is no hesitation. Due to the efficiency of IFSs, it has received great attention from researchers, and at present, it has been applied in various areas such as The associate editor coordinating the review of this manuscript and approving it for publication was Wei Wang. decision making [28]- [30], medical diagnosis [31], [32], pattern recognition [33], [34] and other areas [35]- [40].…”

Section: Introductionmentioning

confidence: 99%

A New Distance for Intuitionistic Fuzzy Sets Based on Similarity Matrix

2019

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Measuring the distance between two intuitionistic fuzzy sets (IFSs) is an open issue. Many types of distances for the IFSs have been proposed in previous studies. Some existing methods cannot satisfy the axioms of similarity or provide counterintuitive cases. Others ignore the relationship between three parameters characterizing the information carried by the IFS. To address these issues, a new distance is proposed by analyzing the similarity among the three parameters of the IFS. The comparison with some existing distances illustrates that the new distance has a higher sensitivity and can effectively measure the similarity between the IFSs. The results of the application of pattern recognition are also shown that the proposed method has better recognition ability.

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Section: Introductionmentioning

confidence: 99%

A New Distance for Intuitionistic Fuzzy Sets Based on Similarity Matrix

2019

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“…More recent literature have focused the application of fuzzy set theory and its generalizations on handling uncertainty in different domains which include: intelligent selection of supplier of medical consumption-related products [ 23 ], determination of school enrollment for students [ 24 ], aggregating expert opinions on the effective finding of Top Event (TE) in industrial processes [ 25 ], applied medical diagnosis [ 26 ], resolving uncertainties in medical prognosis and diagnosis [ 27 ], improving medical diagnosis [ 28 ], forecasting of surface roughness [ 29 ], and resolving uncertainties in medical diagnosis [ 30 – 32 ].…”

Section: Introductionmentioning

confidence: 99%

MAVSCOT: A fuzzy logic-based HIV diagnostic system with indigenous multi-lingual interfaces for rural Africa

Oluwagbemi

Oluwagbemi²,

Jatto

et al. 2020

PLoS ONE

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HIV still constitutes a major public health problem in Africa, where the highest incidence and prevalence of the disease can be found in many rural areas, with multiple indigenous languages being used for communication by locals. In many rural areas of the KwaZulu-Natal (KZN) in South Africa, for instance, the most widely used languages include Zulu and Xhosa, with only limited comprehension in English and Afrikaans. Health care practitioners for HIV diagnosis and treatment, often, cannot communicate efficiently with their indigenous ethnic patients. An informatics tool is urgently needed to facilitate these health care professionals for better communication with their patients during HIV diagnosis. Here, we apply fuzzy logic and speech technology and develop a fuzzy logic HIV diagnostic system with indigenous multi-lingual interfaces, named Multi-linguAl HIV indigenouS fuzzy logiC-based diagnOstic sysTem (MAVSCOT). This HIV multilingual informatics software can facilitate the diagnosis in underprivileged rural African communities. We provide examples on how MAVSCOT can be applied towards HIV diagnosis by using existing data from the literature. Compared to other similar tools, MAVSCOT can perform better due to its implementation of the fuzzy logic. We hope MAVSCOT would help health care practitioners working in indigenous communities of many African countries, to efficiently diagnose HIV and ultimately control its transmission.

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“…Many authors contributed their research towards the medical diagnosis problem. Deepa et al [1] discussed about the medical diagnosis problem using IF set in terms of shortest distance measure in 2018. Feng et al [2] described the concept of the combination of soft set with fuzzy set and rough sets in 2010.…”

Section: Introductionmentioning

confidence: 99%

Diabetes Disease Analysis Using Rough Soft Set

Manimaran¹,

Praba²,

Deepa³

et al. 2018

IJET

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Diabetes is a noteworthy medical issue in both modern and creating nations, and its frequency is rising apparently. It is a metabolic disease in which the person who has been affected will have high blood glucose or high blood sugar. It is mainly because of inadequate production of insulin or the body’s cells do not respond to insulin. In some special cases it may be due to both the reasons. This disease causes a lot of health issues in humans’ life. Rough set and soft set theory plays a major role for dealing with uncertainty and it has been applied in many fields. In this paper we aim at finding the age group of people in which maximum diabetes mellitus occurs using the concept of rough soft set and rough soft decision set.

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Medical diagnosis using intuitionistic fuzzy set in terms shortest distance measure

Cited by 5 publications

References 0 publications

A New Distance for Intuitionistic Fuzzy Sets Based on Similarity Matrix

A New Distance for Intuitionistic Fuzzy Sets Based on Similarity Matrix

MAVSCOT: A fuzzy logic-based HIV diagnostic system with indigenous multi-lingual interfaces for rural Africa

Diabetes Disease Analysis Using Rough Soft Set

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