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(PDF) Fuzzy Logic Decision Support in Medicine
<!DOCTYPE html> <html > <head> <meta charset="utf-8"> <meta rel="search" type="application/opensearchdescription+xml" href="/open_search.xml" title="Academia.edu"> <meta content="width=device-width, initial-scale=1" name="viewport"> <meta name="google-site-verification" content="bKJMBZA7E43xhDOopFZkssMMkBRjvYERV-NaN4R6mrs"> <meta name="csrf-param" content="authenticity_token" /> <meta name="csrf-token" content="rP7aYfgmLmmT7KsX3mwSncs4EilCNJc-pZ5BsUh-tQ5abPr0wqmPyGTZnRSv1tf8OfuCCoFF4PbJcN1WG6gkeQ" /> <meta name="citation_title" content="Use of Fuzzy Logic Based Decision Support Systems in Medicine" /> <meta name="citation_publication_date" content="2016/01/01" /> <meta name="citation_journal_title" content="Studies on Ethno-Medicine" /> <meta name="citation_author" content="özkan görgülü" /> <meta name="twitter:card" content="summary" /> <meta name="twitter:url" content="https://www.academia.edu/114076058/Use_of_Fuzzy_Logic_Based_Decision_Support_Systems_in_Medicine" /> <meta name="twitter:title" content="Use of Fuzzy Logic Based Decision Support Systems in Medicine" /> <meta name="twitter:description" content="The complexity of the problems that are faced within people&#39;s decision-making process can reveal a variety of challenges in the solution process. The increasing complexity of the events faced, makes the decisionmaking more difficult. Therefore," /> <meta name="twitter:image" content="https://0.academia-photos.com/77378880/20342207/20031120/s200__zkan.g_rg_l_.jpg" /> <meta property="fb:app_id" content="2369844204" /> <meta property="og:type" content="article" /> <meta property="og:url" content="https://www.academia.edu/114076058/Use_of_Fuzzy_Logic_Based_Decision_Support_Systems_in_Medicine" /> <meta property="og:title" content="Use of Fuzzy Logic Based Decision Support Systems in Medicine" /> <meta property="og:image" content="http://a.academia-assets.com/images/open-graph-icons/fb-paper.gif" /> <meta property="og:description" content="The complexity of the problems that are faced within people&#39;s decision-making process can reveal a variety of challenges in the solution process. The increasing complexity of the events faced, makes the decisionmaking more difficult. 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{"work":{"id":114076058,"created_at":"2024-01-26T07:50:42.060-08:00","from_world_paper_id":248864641,"updated_at":"2025-02-01T02:30:31.138-08:00","_data":{"publisher":"Kamla Raj Enterprises","ai_title_tag":"Fuzzy Logic Decision Support in Medicine","grobid_abstract":"The complexity of the problems that are faced within people's decision-making process can reveal a variety of challenges in the solution process. The increasing complexity of the events faced, makes the decisionmaking more difficult. Therefore, recently, a trend has occurred in advanced technologies such as decision support systems (DSS). DSS offer alternative solutions with a flexible and objective perspective to researchers in various fields, particularly in the fields of medicine and life science. DSS can be designed using artificial intelligence based methods such as fuzzy logic (FL), and artificial neural networks (ANN). Nowadays, the fuzzy logic-based DSS in the medical field such as the disease diagnosis, the determination of appropriate treatment, the costs a nd so on, including issues in making clinical decisions are widely used, and successfully applied. In this study, FL-based DSS have been introduced, and different applications used in the medicine field have been given. The mea n of the success level of the FL-based DSS was determined to be ninety percent. FL-based DSS has been providi ng a significant contribution to disease diagnosis in the examined studies.","publication_date":"2016,,","publication_name":"Studies on Ethno-Medicine","grobid_abstract_attachment_id":"110869114"},"document_type":"paper","pre_hit_view_count_baseline":null,"quality":"high","language":"en","title":"Use of Fuzzy Logic Based Decision Support Systems in Medicine","broadcastable":true,"draft":null,"has_indexable_attachment":true,"indexable":true}}["work"]; window.loswp.workCoauthors = [77378880]; window.loswp.locale = "en"; window.loswp.countryCode = "SG"; window.loswp.cwvAbTestBucket = ""; window.loswp.designVariant = "ds_vanilla"; window.loswp.fullPageMobileSutdModalVariant = "full_page_mobile_sutd_modal"; window.loswp.useOptimizedScribd4genScript = false; window.loginModal = {}; window.loginModal.appleClientId = 'edu.academia.applesignon'; window.userInChina = "false";</script><script defer="" src="https://accounts.google.com/gsi/client"></script><div class="ds-loswp-container"><div class="ds-work-card--grid-container"><div class="ds-work-card--container js-loswp-work-card"><div class="ds-work-card--cover"><div class="ds-work-cover--wrapper"><div class="ds-work-cover--container"><button class="ds-work-cover--clickable js-swp-download-button" data-signup-modal="{"location":"swp-splash-paper-cover","attachmentId":110869114,"attachmentType":"pdf"}"><img alt="First page of “Use of Fuzzy Logic Based Decision Support Systems in Medicine”" class="ds-work-cover--cover-thumbnail" src="https://0.academia-photos.com/attachment_thumbnails/110869114/mini_magick20240126-1-dshipv.png?1706291369" /><img alt="PDF Icon" class="ds-work-cover--file-icon" src="//a.academia-assets.com/images/single_work_splash/adobe_icon.svg" /><div class="ds-work-cover--hover-container"><span class="material-symbols-outlined" style="font-size: 20px" translate="no">download</span><p>Download Free PDF</p></div><div class="ds-work-cover--ribbon-container">Download Free PDF</div><div class="ds-work-cover--ribbon-triangle"></div></button></div></div></div><div class="ds-work-card--work-information"><h1 class="ds-work-card--work-title">Use of Fuzzy Logic Based Decision Support Systems in Medicine</h1><div class="ds-work-card--work-authors ds-work-card--detail"><a class="ds-work-card--author js-wsj-grid-card-author ds2-5-body-md ds2-5-body-link" data-author-id="77378880" href="https://ahievran.academia.edu/%C3%B6zkang%C3%B6rg%C3%BCl%C3%BC"><img alt="Profile image of özkan görgülü" class="ds-work-card--author-avatar" src="https://0.academia-photos.com/77378880/20342207/20031120/s65__zkan.g_rg_l_.jpg" />özkan görgülü</a></div><div class="ds-work-card--detail"><p class="ds-work-card--detail ds2-5-body-sm">2016, Studies on Ethno-Medicine</p><div class="ds-work-card--work-metadata"><div class="ds-work-card--work-metadata__stat"><span class="material-symbols-outlined" style="font-size: 20px" translate="no">visibility</span><p class="ds2-5-body-sm" id="work-metadata-view-count">…</p></div><div class="ds-work-card--work-metadata__stat"><span class="material-symbols-outlined" style="font-size: 20px" translate="no">description</span><p class="ds2-5-body-sm">11 pages</p></div><div class="ds-work-card--work-metadata__stat"><span class="material-symbols-outlined" style="font-size: 20px" translate="no">link</span><p class="ds2-5-body-sm">1 file</p></div></div><script>(async () => { const workId = 114076058; 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if (!viewCountBody) { throw new Error('Failed to find work views element'); } viewCountBody.textContent = `${commaizedViewCount} views`; } catch (error) { // Remove the whole views element if there was some issue parsing. document.getElementById('work-metadata-view-count')?.parentNode?.remove(); throw new Error(`Failed to parse view count: ${viewCount}`, error); } }; // If the DOM is still loading, wait for it to be ready before updating the view count. if (document.readyState === "loading") { document.addEventListener('DOMContentLoaded', () => { updateViewCount(viewCount); }); // Otherwise, just update it immediately. } else { updateViewCount(viewCount); } })();</script></div><p class="ds-work-card--work-abstract ds-work-card--detail ds2-5-body-md">The complexity of the problems that are faced within people's decision-making process can reveal a variety of challenges in the solution process. The increasing complexity of the events faced, makes the decisionmaking more difficult. Therefore, recently, a trend has occurred in advanced technologies such as decision support systems (DSS). DSS offer alternative solutions with a flexible and objective perspective to researchers in various fields, particularly in the fields of medicine and life science. DSS can be designed using artificial intelligence based methods such as fuzzy logic (FL), and artificial neural networks (ANN). Nowadays, the fuzzy logic-based DSS in the medical field such as the disease diagnosis, the determination of appropriate treatment, the costs a nd so on, including issues in making clinical decisions are widely used, and successfully applied. In this study, FL-based DSS have been introduced, and different applications used in the medicine field have been given. The mea n of the success level of the FL-based DSS was determined to be ninety percent. FL-based DSS has been providi ng a significant contribution to disease diagnosis in the examined studies.</p><div class="ds-work-card--button-container"><button class="ds2-5-button js-swp-download-button" data-signup-modal="{"location":"continue-reading-button--work-card","attachmentId":110869114,"attachmentType":"pdf","workUrl":"https://www.academia.edu/114076058/Use_of_Fuzzy_Logic_Based_Decision_Support_Systems_in_Medicine"}">See full PDF</button><button class="ds2-5-button ds2-5-button--secondary js-swp-download-button" data-signup-modal="{"location":"download-pdf-button--work-card","attachmentId":110869114,"attachmentType":"pdf","workUrl":"https://www.academia.edu/114076058/Use_of_Fuzzy_Logic_Based_Decision_Support_Systems_in_Medicine"}"><span class="material-symbols-outlined" style="font-size: 20px" translate="no">download</span>Download PDF</button></div><div class="ds-signup-banner-trigger-container"><div class="ds-signup-banner-trigger ds-signup-banner-trigger-control"></div></div><div class="ds-signup-banner ds-signup-banner-control"><div id="ds-signup-banner-close-button"><button class="ds2-5-button ds2-5-button--secondary ds2-5-button--inverse"><span class="material-symbols-outlined" style="font-size: 20px" translate="no">close</span></button></div><div class="ds-signup-banner-ctas"><img src="//a.academia-assets.com/images/academia-logo-capital-white.svg" /><h4 class="ds2-5-heading-serif-sm">Sign up for access to the world's latest research</h4><button class="ds2-5-button ds2-5-button--inverse ds2-5-button--full-width js-swp-download-button" data-signup-modal="{"location":"signup-banner"}">Sign up for free<span class="material-symbols-outlined" style="font-size: 20px" translate="no">arrow_forward</span></button></div><div class="ds-signup-banner-divider"></div><div class="ds-signup-banner-reasons"><div class="ds-signup-banner-reasons-item"><span class="material-symbols-outlined" style="font-size: 24px" translate="no">check</span><span>Get notified about relevant papers</span></div><div class="ds-signup-banner-reasons-item"><span class="material-symbols-outlined" style="font-size: 24px" translate="no">check</span><span>Save papers to use in your research</span></div><div class="ds-signup-banner-reasons-item"><span class="material-symbols-outlined" style="font-size: 24px" translate="no">check</span><span>Join the discussion with peers</span></div><div class="ds-signup-banner-reasons-item"><span class="material-symbols-outlined" style="font-size: 24px" translate="no">check</span><span>Track your impact</span></div></div></div><script>(() => { // Set up signup banner show/hide behavior: // 1. 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Recent studies of us that include fuzzy expert systems that make use of fuzzy logic method were described. Some of fuzzy expert systems mentioned in this paper have been developed as first time. Followings were investigated; the risk of prostate cancer, risk of coronary heart disease, degree of child anemia, determination the level of iron deficiency anemia, diagnosis of periodontal dental disease, determination of drug dose and etc. All designed fuzzy expert systems can help in support decision process of physicians. It can be claimed that in many cases such systems can help the physicians in diagnostics, treatment of illness, patient pursuit, prediction of disease risk and etc. As can be seen from the paper accuracies ratios of the proposed FESs were find as high by doctors involved to studies. Robustness and reliabilities of the developed FESs were proved on patients by doctors. The numbers and other arguments that support our claim can be found in the paper.</p><div class="ds-related-work--ctas"><button class="ds2-5-text-link ds2-5-text-link--inline js-swp-download-button" data-signup-modal="{"location":"wsj-grid-card-download-pdf-modal","work_title":"Some applications of fuzzy logic in medical area","attachmentId":67132788,"attachmentType":"pdf","work_url":"https://www.academia.edu/48609968/Some_applications_of_fuzzy_logic_in_medical_area","alternativeTracking":true}"><span class="material-symbols-outlined" style="font-size: 18px" translate="no">download</span><span class="ds2-5-text-link__content">Download free PDF</span></button><a class="ds2-5-text-link ds2-5-text-link--inline js-wsj-grid-card-view-pdf" href="https://www.academia.edu/48609968/Some_applications_of_fuzzy_logic_in_medical_area"><span class="ds2-5-text-link__content">View PDF</span><span class="material-symbols-outlined" style="font-size: 18px" translate="no">chevron_right</span></a></div></div><div class="ds-related-work--container js-wsj-grid-card" data-collection-position="1" data-entity-id="27103002" data-sort-order="default"><a class="ds-related-work--title js-wsj-grid-card-title ds2-5-body-md ds2-5-body-link" href="https://www.academia.edu/27103002/A_Fuzzy_Logic_Approach_to_Decision_Support_in_Medicine">A Fuzzy Logic Approach to Decision Support in Medicine</a><div class="ds-related-work--metadata"><a class="js-wsj-grid-card-author ds2-5-body-sm ds2-5-body-link" data-author-id="51113383" href="https://enea.academia.edu/StefanoPizzuti">Stefano Pizzuti</a></div><p class="ds-related-work--metadata ds2-5-body-xs">Bangladesh Journal of …, 2011</p><p class="ds-related-work--abstract ds2-5-body-sm">We present an application of fuzzy logic for the development of a decision support system in medicine. As a working example we model the prognosis of a patient suffering hearth failure treated with beta-blockers. It is shown how the basic rules, based on expert experience, are represented in a system based on fuzzy logic.</p><div class="ds-related-work--ctas"><button class="ds2-5-text-link ds2-5-text-link--inline js-swp-download-button" data-signup-modal="{"location":"wsj-grid-card-download-pdf-modal","work_title":"A Fuzzy Logic Approach to Decision Support in Medicine","attachmentId":47354280,"attachmentType":"pdf","work_url":"https://www.academia.edu/27103002/A_Fuzzy_Logic_Approach_to_Decision_Support_in_Medicine","alternativeTracking":true}"><span class="material-symbols-outlined" style="font-size: 18px" translate="no">download</span><span class="ds2-5-text-link__content">Download free PDF</span></button><a class="ds2-5-text-link ds2-5-text-link--inline js-wsj-grid-card-view-pdf" href="https://www.academia.edu/27103002/A_Fuzzy_Logic_Approach_to_Decision_Support_in_Medicine"><span class="ds2-5-text-link__content">View PDF</span><span class="material-symbols-outlined" style="font-size: 18px" translate="no">chevron_right</span></a></div></div><div class="ds-related-work--container js-wsj-grid-card" data-collection-position="2" data-entity-id="4392569" data-sort-order="default"><a class="ds-related-work--title js-wsj-grid-card-title ds2-5-body-md ds2-5-body-link" href="https://www.academia.edu/4392569/_Medical_Decision_Support_Systems_based_on_Soft_Computing_Techniques_">“Medical Decision Support Systems based on Soft Computing Techniques”</a><div class="ds-related-work--metadata"><a class="js-wsj-grid-card-author ds2-5-body-sm ds2-5-body-link" data-author-id="713166" href="https://teiep.academia.edu/Chrysostomosstylios">Chrysostomos Stylios</a></div><p class="ds-related-work--abstract ds2-5-body-sm">Medical Decision Support Systems (MDSS) are very important constructions that are incorporated into Intelligent Information E - Health Systems aiming to produce warning s or to consult and suggest clinical ju dgments either to inexperienced medical professionals or in their light er versions to the general public through medical advisors websites . Soft Computing (SC) techniques , especially th ose that are based on exploit ing human knowledge and experience , are extr emely useful to model complex decision making procedures and thus , they have a key role in development such MDSS. Such a modeling methodology i s Fuzzy Cognitive Maps which is suitable to represent human reasoning and to infer conclusions and decisions in a human - like way. In order to develop an integrated stand alone MDSS, Fuzzy Cognitive Maps could be complemented by other Soft Computing techniques such as Genetic Algorithms and/ or Case Based Reasoning and so to construct more efficient advanced Medical De cision Support Systems. 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AITs, offer the possibility of designing intelligent mathematical models involving Fuzzy Logic(FL), Artificial Neural Network(ANN), Genetic Algorithm(GA), and as such. In this, Fuzzy set theory is a highly suitable and applicable basis for developing knowledge-based systems in medical fields for diagnosing diseases and predicting risk factors. Fuzzy Logic decides uncertainty, incomplete, vagueness, and flexible structure with the use of intuitive methods. Due to the advent of digitalization in the field of the medical diagnostic process, Fuzzy Logic is highly suitable to make the decisions for diagnosis and treatment of different diseases. This article mainly focuses on a review of the applications of Fuzzy Logic in the Application areas of Medicines like Heart Disease, Asthma, Cold and Flu, Malaria, Parkinson's Disease, Diabetic Disease, Tuberculosis, Breast Cancer, and Covid-19 as well.</p><div class="ds-related-work--ctas"><button class="ds2-5-text-link ds2-5-text-link--inline js-swp-download-button" data-signup-modal="{"location":"wsj-grid-card-download-pdf-modal","work_title":"Impact of fuzzy logic and its applications in medicine: A review","attachmentId":82477808,"attachmentType":"pdf","work_url":"https://www.academia.edu/74266891/Impact_of_fuzzy_logic_and_its_applications_in_medicine_A_review","alternativeTracking":true}"><span class="material-symbols-outlined" style="font-size: 18px" translate="no">download</span><span class="ds2-5-text-link__content">Download free PDF</span></button><a class="ds2-5-text-link ds2-5-text-link--inline js-wsj-grid-card-view-pdf" href="https://www.academia.edu/74266891/Impact_of_fuzzy_logic_and_its_applications_in_medicine_A_review"><span class="ds2-5-text-link__content">View PDF</span><span class="material-symbols-outlined" style="font-size: 18px" translate="no">chevron_right</span></a></div></div><div class="ds-related-work--container js-wsj-grid-card" data-collection-position="4" data-entity-id="48610020" data-sort-order="default"><a class="ds-related-work--title js-wsj-grid-card-title ds2-5-body-md ds2-5-body-link" href="https://www.academia.edu/48610020/Design_of_Fuzzy_Expert_Systems_and_Its_Applications_in_Some_Medical_Areas">Design of Fuzzy Expert Systems and Its Applications in Some Medical Areas</a><div class="ds-related-work--metadata"><a class="js-wsj-grid-card-author ds2-5-body-sm ds2-5-body-link" data-author-id="98758005" href="https://karatay.academia.edu/NovruzAllahverdi">Novruz Allahverdi</a></div><p class="ds-related-work--metadata ds2-5-body-xs">International Journal of Applied Mathematics, Electronics and Computers, 2014</p><p class="ds-related-work--abstract ds2-5-body-sm">This paper is the survey of studies that include design processes of some fuzzy expert systems for applications in some medical area. Recent studies of us that include fuzzy expert systems that make use of fuzzy logic method were described. Some of fuzzy expert systems mentioned in this paper have been developed as first time. Followings were investigated; the risk of prostate cancer, risk of coronary heart disease, degree of child anemia, determination the level of iron deficiency anemia, diagnosis of periodontal dental disease, determination of drug dose and etc. All designed fuzzy expert systems can help in support decision process of physicians. It can be claimed that in many cases such systems can help the physicians in diagnostics, treatment of illness, patient pursuit, prediction of disease risk and etc. As can be seen from the paper accuracies ratios of the proposed FESs were find as high by doctors involved to studies. Robustness and reliabilities of the developed FESs were proved on patients by doctors. The numbers and other arguments that support our claim can be found in the paper.</p><div class="ds-related-work--ctas"><button class="ds2-5-text-link ds2-5-text-link--inline js-swp-download-button" data-signup-modal="{"location":"wsj-grid-card-download-pdf-modal","work_title":"Design of Fuzzy Expert Systems and Its Applications in Some Medical Areas","attachmentId":67132791,"attachmentType":"pdf","work_url":"https://www.academia.edu/48610020/Design_of_Fuzzy_Expert_Systems_and_Its_Applications_in_Some_Medical_Areas","alternativeTracking":true}"><span class="material-symbols-outlined" style="font-size: 18px" translate="no">download</span><span class="ds2-5-text-link__content">Download free PDF</span></button><a class="ds2-5-text-link ds2-5-text-link--inline js-wsj-grid-card-view-pdf" href="https://www.academia.edu/48610020/Design_of_Fuzzy_Expert_Systems_and_Its_Applications_in_Some_Medical_Areas"><span class="ds2-5-text-link__content">View PDF</span><span class="material-symbols-outlined" style="font-size: 18px" translate="no">chevron_right</span></a></div></div><div class="ds-related-work--container js-wsj-grid-card" data-collection-position="5" data-entity-id="112504586" data-sort-order="default"><a class="ds-related-work--title js-wsj-grid-card-title ds2-5-body-md ds2-5-body-link" href="https://www.academia.edu/112504586/Integrated_Fuzzy_based_Decision_Support_System_for_the_Management_of_Human_Disease">Integrated Fuzzy based Decision Support System for the Management of Human Disease</a><div class="ds-related-work--metadata"><a class="js-wsj-grid-card-author ds2-5-body-sm ds2-5-body-link" data-author-id="290067669" href="https://independent.academia.edu/IUdoeka">Ifreke Udoeka</a></div><p class="ds-related-work--metadata ds2-5-body-xs">International Journal of Advanced Computer Science and Applications, 2020</p><p class="ds-related-work--abstract ds2-5-body-sm">To eliminate some of the inaccuracies in the diagnosis of human diseases, decision support systems based on algorithms and technologies such as Artificial Neural Network, Fuzzy Logic etc. have been used. The results of such diagnosis are used for treatment and management purposes. Inaccurate and imprecise diagnosis may lead to wrong treatment methods which in turn may result in death or complications. Although treatments are widely carried out using drugs, there exist other treatment methods such as alternative medicine, complimentary medicine which could be used for treatment. We propose an Integrated Fuzzy Based Decision Support System which focuses on the integration of both alternative and pure medicine for the management of malaria. The results obtained showed that integrating these two treatment and management methods will eliminate the limitations of the individual methods therefore bridging the gap between alternative and pure medicine in the treatment and management of human diseases. The system is implemented in C#.</p><div class="ds-related-work--ctas"><button class="ds2-5-text-link ds2-5-text-link--inline js-swp-download-button" data-signup-modal="{"location":"wsj-grid-card-download-pdf-modal","work_title":"Integrated Fuzzy based Decision Support System for the Management of Human Disease","attachmentId":109714780,"attachmentType":"pdf","work_url":"https://www.academia.edu/112504586/Integrated_Fuzzy_based_Decision_Support_System_for_the_Management_of_Human_Disease","alternativeTracking":true}"><span class="material-symbols-outlined" style="font-size: 18px" translate="no">download</span><span class="ds2-5-text-link__content">Download free PDF</span></button><a class="ds2-5-text-link ds2-5-text-link--inline js-wsj-grid-card-view-pdf" href="https://www.academia.edu/112504586/Integrated_Fuzzy_based_Decision_Support_System_for_the_Management_of_Human_Disease"><span class="ds2-5-text-link__content">View PDF</span><span class="material-symbols-outlined" style="font-size: 18px" translate="no">chevron_right</span></a></div></div><div class="ds-related-work--container js-wsj-grid-card" data-collection-position="6" data-entity-id="3069799" data-sort-order="default"><a class="ds-related-work--title js-wsj-grid-card-title ds2-5-body-md ds2-5-body-link" href="https://www.academia.edu/3069799/Medical_decision_making_through_fuzzy_computational_intelligent_approaches">Medical decision making through fuzzy computational intelligent approaches</a><div class="ds-related-work--metadata"><a class="js-wsj-grid-card-author ds2-5-body-sm ds2-5-body-link" data-author-id="1418969" href="https://teilam.academia.edu/ElpinikiPapageorgiou">Elpiniki Papageorgiou</a></div><p class="ds-related-work--metadata ds2-5-body-xs">2009</p><p class="ds-related-work--abstract ds2-5-body-sm">Abstract. A new approach for the construction of Fuzzy Cognitive Maps augmented by knowledge through fuzzy rule-extraction methods for medical decision making is investigated. This new approach develops an augmented Fuzzy Cognitive Mapping based Decision Support System combining knowledge from experts and knowledge from data in the form of fuzzy rules generated from rule-based knowledge discovery methods.</p><div class="ds-related-work--ctas"><button class="ds2-5-text-link ds2-5-text-link--inline js-swp-download-button" data-signup-modal="{"location":"wsj-grid-card-download-pdf-modal","work_title":"Medical decision making through fuzzy computational intelligent approaches","attachmentId":30997065,"attachmentType":"pdf","work_url":"https://www.academia.edu/3069799/Medical_decision_making_through_fuzzy_computational_intelligent_approaches","alternativeTracking":true}"><span class="material-symbols-outlined" style="font-size: 18px" translate="no">download</span><span class="ds2-5-text-link__content">Download free PDF</span></button><a class="ds2-5-text-link ds2-5-text-link--inline js-wsj-grid-card-view-pdf" href="https://www.academia.edu/3069799/Medical_decision_making_through_fuzzy_computational_intelligent_approaches"><span class="ds2-5-text-link__content">View PDF</span><span class="material-symbols-outlined" style="font-size: 18px" translate="no">chevron_right</span></a></div></div><div class="ds-related-work--container js-wsj-grid-card" data-collection-position="7" data-entity-id="84317451" data-sort-order="default"><a class="ds-related-work--title js-wsj-grid-card-title ds2-5-body-md ds2-5-body-link" href="https://www.academia.edu/84317451/A_Study_on_FUZZY_LOGIC_and_its_applications_in_Medical_Field">A Study on FUZZY LOGIC and its applications in Medical Field</a><div class="ds-related-work--metadata"><a class="js-wsj-grid-card-author ds2-5-body-sm ds2-5-body-link" data-author-id="7144607" href="https://independent.academia.edu/vijayfranklin">vijay franklin</a></div><p class="ds-related-work--metadata ds2-5-body-xs">2019</p><p class="ds-related-work--abstract ds2-5-body-sm">Fuzzy Logic (FL) is a powerful tool which is applied extensively in various diverse fields like Aerospace, Agriculture, Automotives, Commercial Applications, Medicine, etc. FL can be conceptualized as generalization of classical logic. FL allows us to organize ideas vaguely that would not have been determined with precision otherwise. FL has advantage over other soft computing tools in decision making where the rules are written directly in a form that is ease for human’s to understand. Yet the benefits of FL are not completely harvested in solving very complex problems. Here, in this review paper a brief study of Fuzzy Logic process is attempted.</p><div class="ds-related-work--ctas"><button class="ds2-5-text-link ds2-5-text-link--inline js-swp-download-button" data-signup-modal="{"location":"wsj-grid-card-download-pdf-modal","work_title":"A Study on FUZZY LOGIC and its applications in Medical Field","attachmentId":89382263,"attachmentType":"pdf","work_url":"https://www.academia.edu/84317451/A_Study_on_FUZZY_LOGIC_and_its_applications_in_Medical_Field","alternativeTracking":true}"><span class="material-symbols-outlined" style="font-size: 18px" translate="no">download</span><span class="ds2-5-text-link__content">Download free PDF</span></button><a class="ds2-5-text-link ds2-5-text-link--inline js-wsj-grid-card-view-pdf" href="https://www.academia.edu/84317451/A_Study_on_FUZZY_LOGIC_and_its_applications_in_Medical_Field"><span class="ds2-5-text-link__content">View PDF</span><span class="material-symbols-outlined" style="font-size: 18px" translate="no">chevron_right</span></a></div></div><div class="ds-related-work--container js-wsj-grid-card" data-collection-position="8" data-entity-id="105199429" data-sort-order="default"><a class="ds-related-work--title js-wsj-grid-card-title ds2-5-body-md ds2-5-body-link" href="https://www.academia.edu/105199429/Medical_Applications_on_Fuzzy_Logic_Inference_System_A_Review">Medical Applications on Fuzzy Logic Inference System: A Review</a><div class="ds-related-work--metadata"><a class="js-wsj-grid-card-author ds2-5-body-sm ds2-5-body-link" data-author-id="258215532" href="https://independent.academia.edu/jatinderBal1">jatinder Bal</a></div><p class="ds-related-work--metadata ds2-5-body-xs">International Journal of Advanced Networking and Applications, 2019</p><p class="ds-related-work--abstract ds2-5-body-sm">Traditional approaches based on algorithms are not feasible for solving detection of diseases throughout the world. Fuzzy Logic becomes more and more popular for diagnosing diseases based on different parameters and methodologies. This paper represents the literature review of articles in fuzzy logic to deal with various medical applications for last decade (2008-2018)because of identified different methodologies developed in this timeperiod. On the basis of different fuzzy applications in medical field, this article focused on eight common medical issues like heart disease, asthma disease, liver disease, breast cancer, Parkinson disease, cholera, dental and diabetes disease. Based on these different medical applications, the basic objective is to explore and implement fuzzy logic in existing and different domains in future.</p><div class="ds-related-work--ctas"><button class="ds2-5-text-link ds2-5-text-link--inline js-swp-download-button" data-signup-modal="{"location":"wsj-grid-card-download-pdf-modal","work_title":"Medical Applications on Fuzzy Logic Inference System: A Review","attachmentId":104718787,"attachmentType":"pdf","work_url":"https://www.academia.edu/105199429/Medical_Applications_on_Fuzzy_Logic_Inference_System_A_Review","alternativeTracking":true}"><span class="material-symbols-outlined" style="font-size: 18px" translate="no">download</span><span class="ds2-5-text-link__content">Download free PDF</span></button><a class="ds2-5-text-link ds2-5-text-link--inline js-wsj-grid-card-view-pdf" href="https://www.academia.edu/105199429/Medical_Applications_on_Fuzzy_Logic_Inference_System_A_Review"><span class="ds2-5-text-link__content">View PDF</span><span class="material-symbols-outlined" style="font-size: 18px" translate="no">chevron_right</span></a></div></div><div class="ds-related-work--container js-wsj-grid-card" data-collection-position="9" data-entity-id="8612205" data-sort-order="default"><a class="ds-related-work--title js-wsj-grid-card-title ds2-5-body-md ds2-5-body-link" href="https://www.academia.edu/8612205/Medical_Diagnosis_System_Using_Fuzzy_Logic">Medical Diagnosis System Using Fuzzy Logic</a><div class="ds-related-work--metadata"><a class="js-wsj-grid-card-author ds2-5-body-sm ds2-5-body-link" data-author-id="5746408" href="https://unilorin.academia.edu/AwotundeJosephBamidele">Awotunde Joseph Bamidele</a></div><p class="ds-related-work--metadata ds2-5-body-xs">African Journal of Computing & ICTs, , 2014</p><p class="ds-related-work--abstract ds2-5-body-sm">One of the major problems that both the developed and under-developed countries are facing is the difficulties of treating illhealth people. There is shortage of medical expertise in various hospitals, most of these countries are spending affluence of their resources to meet this challenge but still they are unable to meet the demands of providing good medical services for their people. It has become of great concern to find a lasting solution to the problem of traditional method of medical diagnostic which is characterized by inaccuracy and imprecision. Many researchers have developed several algorithms and technologies (including Fuzzy Logic, Genetic Algorithms and even Artificial Neural Network) to ensure accuracy and precision in the field of medicine which are branches of Artificial Intelligence. This paper covers the development of a medical diagnostic system using fuzzy logic; so as to enhance the accuracy and precision of medical diagnosis. The proposed medical diagnostic system was developed using Visual Prolog Programming language. The proposed system proffers solution to the enormous responsibilities of the diagnostic process carried out by medical personnel using fuzzy logic. More advance medical diagnosis system can be designed to help in the area like drugs prescription, registering of patients as well as keeping of patients’ details and records in the medical sector.</p><div class="ds-related-work--ctas"><button class="ds2-5-text-link ds2-5-text-link--inline js-swp-download-button" data-signup-modal="{"location":"wsj-grid-card-download-pdf-modal","work_title":"Medical Diagnosis System Using Fuzzy Logic","attachmentId":34977075,"attachmentType":"pdf","work_url":"https://www.academia.edu/8612205/Medical_Diagnosis_System_Using_Fuzzy_Logic","alternativeTracking":true}"><span class="material-symbols-outlined" style="font-size: 18px" translate="no">download</span><span class="ds2-5-text-link__content">Download free PDF</span></button><a class="ds2-5-text-link ds2-5-text-link--inline js-wsj-grid-card-view-pdf" href="https://www.academia.edu/8612205/Medical_Diagnosis_System_Using_Fuzzy_Logic"><span class="ds2-5-text-link__content">View PDF</span><span class="material-symbols-outlined" style="font-size: 18px" translate="no">chevron_right</span></a></div></div></div></div><div class="ds-sticky-ctas--wrapper js-loswp-sticky-ctas hidden"><div class="ds-sticky-ctas--grid-container"><div class="ds-sticky-ctas--container"><button class="ds2-5-button js-swp-download-button" data-signup-modal="{"location":"continue-reading-button--sticky-ctas","attachmentId":110869114,"attachmentType":"pdf","workUrl":null}">See full PDF</button><button class="ds2-5-button ds2-5-button--secondary js-swp-download-button" data-signup-modal="{"location":"download-pdf-button--sticky-ctas","attachmentId":110869114,"attachmentType":"pdf","workUrl":null}"><span class="material-symbols-outlined" style="font-size: 20px" translate="no">download</span>Download PDF</button></div></div></div><div class="ds-below-fold--grid-container"><div class="ds-work--container js-loswp-embedded-document"><div class="attachment_preview" data-attachment="Attachment_110869114" style="display: none"><div class="js-scribd-document-container"><div class="scribd--document-loading js-scribd-document-loader" style="display: block;"><img alt="Loading..." src="//a.academia-assets.com/images/loaders/paper-load.gif" /><p>Loading Preview</p></div></div><div style="text-align: center;"><div class="scribd--no-preview-alert js-preview-unavailable"><p>Sorry, preview is currently unavailable. 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