دانلود رایگان مجموعه مقالات علمی اشپرینگر در زمینه منطق فازی — بخش بیست و هشتم

منطق فازی (Fuzzy Logic) اولین بار در پی تنظیم نظریه مجموعه‌های فازی به وسیله پروفسور لطفی زاده (۱۹۶۵ میلادی) در صحنه محاسبات نو ظاهر شد. در واقع منطق فازی از منطق ارزش‌های «صفر و یک» نرم‌افزارهای کلاسیک فراتر رفته و درگاهی جدید برای دنیای علوم نرم‌افزاری و رایانه‌ها می‌گشاید، زیرا فضای شناور و نامحدود بین اعداد صفر و یک را نیز در منطق و استدلال‌های خود به کار می‌گیرد. در ادامه مقالات علمی انتشارات بین المللی اشپرینگر (Springer) در زمینه منطق فازی (Fuzzy Logic) برای دانلود آمده است. می توانید برای دانلود هر یک از مقالات از سرور دانلود متلب سایت، بر روی لینک دانلود هر یک از آن ها، کلیک کنید.

این نوشته حاوی بخشی از مجموعه کامل مقالات است. برای دریافت سایر بخش ها، به لینک زیر مراجعه نمایید:

دانلود رایگان مجموعه مقالات علمی اشپرینگر در زمینه منطق فازی — فهرست اصلی

عنوان اصلی مقاله Making it possible to measure knowledge, experience and intuition in diagnosing lung injury severity: a fuzzy logic vision based on the Murray score
نوع مقاله مقاله ژورنال
نویسندگان Carlos E D'Negri, Eduardo L De Vito
چکیده / توضیح Murray score is the result of an equation that gives all its variables the same linear contribution and weight and makes use of consented cut-offs. Everyday physicians' vocabulary is full of terms (adjectives) like: little, small, low, high, etc. that they handle in an intuitive and not always linear way to make therapeutic decisions. The purpose of this paper is to develop a fuzzy logic (FL) vision of Murray's score variables to enable the measurement of physicians' knowledge, experience and intuition in diagnosing lung injury and test if they followed Murray's equation predictions.
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عنوان اصلی مقاله Detecting referral and selection bias by the anonymous linkage of practice, hospital and clinic data using Secure and Private Record Linkage (SAPREL): case study from the evaluation of the Improved Access to Psychological Therapy (IAPT) service
نوع مقاله مقاله ژورنال
نویسندگان Simon de Lusignan, Rob Navarro, Tom Chan, Glenys Parry, Kim Dent-Brown, Tony Kendrick
چکیده / توضیح The evaluation of demonstration sites set up to provide improved access to psychological therapies (IAPT) comprised the study of all people identified as having common mental health problems (CMHP), those referred to the IAPT service, and a sample of attenders studied in-depth. Information technology makes it feasible to link practice, hospital and IAPT clinic data to evaluate the representativeness of these samples. However, researchers do not have permission to browse and link these data without the patients' consent.
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عنوان اصلی مقاله Practice guidelines and clinical risk assessment models: is it time to reform?
نوع مقاله مقاله ژورنال
نویسندگان Nariman Sepehrvand, Ghaderi Firouz Pakdel, Mohammad Hosein Rahimi-Rad, Babak Moosavi-Toomatari, Shahrzad Bazargan-Hejazi
چکیده / توضیح Clinical practice guidelines and Risk Assessment Models (RAMs) are some useful tools to bring medical evidences into our daily clinical practice. Despite the improvement over the time, they still have some shortcomings.
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عنوان اصلی مقاله A data-driven epidemiological prediction method for dengue outbreaks using local and remote sensing data
نوع مقاله مقاله ژورنال
نویسندگان Anna L Buczak, Phillip T Koshute, Steven M Babin, Brian H Feighner, Sheryl H Lewis
چکیده / توضیح Dengue is the most common arboviral disease of humans, with more than one third of the world’s population at risk. Accurate prediction of dengue outbreaks may lead to public health interventions that mitigate the effect of the disease. Predicting infectious disease outbreaks is a challenging task; truly predictive methods are still in their infancy.
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عنوان اصلی مقاله Dual processing model of medical decision-making
نوع مقاله مقاله ژورنال
نویسندگان Benjamin Djulbegovic, Iztok Hozo, Jason Beckstead, Athanasios Tsalatsanis, Stephen G Pauker
چکیده / توضیح Dual processing theory of human cognition postulates that reasoning and decision-making can be described as a function of both an intuitive, experiential, affective system (system I) and/or an analytical, deliberative (system II) processing system. To date no formal descriptive model of medical decision-making based on dual processing theory has been developed. Here we postulate such a model and apply it to a common clinical situation: whether treatment should be administered to the patient who may or may not have a disease.
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عنوان اصلی مقاله Supporting meningitis diagnosis amongst infants and children through the use of fuzzy cognitive mapping
نوع مقاله مقاله ژورنال
نویسندگان Vijay K Mago, Ravinder Mehta, Ryan Woolrych, Elpiniki I Papageorgiou
چکیده / توضیح Meningitis is characterized by an inflammation of the meninges, or the membranes surrounding the brain and spinal cord. Early diagnosis and treatment is crucial for a positive outcome, yet identifying meningitis is a complex process involving an array of signs and symptoms and multiple causal factors which require novel solutions to support clinical decision-making. In this work, we explore the potential of fuzzy cognitive map to assist in the modeling of meningitis, as a support tool for physicians in the accurate diagnosis and treatment of the condition.
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عنوان اصلی مقاله Analyzing the impact of social factors on homelessness: a Fuzzy Cognitive Map approach
نوع مقاله مقاله ژورنال
نویسندگان Vijay K Mago, Hilary K Morden, Charles Fritz, Tiankuang Wu, Sara Namazi, Parastoo Geranmayeh, Rakhi Chattopadhyay, Vahid Dabbaghian
چکیده / توضیح The forces which affect homelessness are complex and often interactive in nature. Social forces such as addictions, family breakdown, and mental illness are compounded by structural forces such as lack of available low-cost housing, poor economic conditions, and insufficient mental health services. Together these factors impact levels of homelessness through their dynamic relations. Historic models, which are static in nature, have only been marginally successful in capturing these relationships.
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عنوان اصلی مقاله A genetic fuzzy system for unstable angina risk assessment
نوع مقاله مقاله ژورنال
نویسندگان Wei Dong, Zhengxing Huang, Lei Ji, Huilong Duan
چکیده / توضیح Unstable Angina (UA) is widely accepted as a critical phase of coronary heart disease with patients exhibiting widely varying risks. Early risk assessment of UA is at the center of the management program, which allows physicians to categorize patients according to the clinical characteristics and stratification of risk and different prognosis. Although many prognostic models have been widely used for UA risk assessment in clinical practice, a number of studies have highlighted possible shortcomings. One serious drawback is that existing models lack the ability to deal with the intrinsic uncertainty about the variables utilized.
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عنوان اصلی مقاله Prediction models in the design of neural network based ECG classifiers: A neural network and genetic programming approach
نوع مقاله مقاله ژورنال
نویسندگان Chris D Nugent, Jesus A Lopez, Ann E Smith, Norman D Black
چکیده / توضیح Classification of the electrocardiogram using Neural Networks has become a widely used method in recent years. The efficiency of these classifiers depends upon a number of factors including network training. Unfortunately, there is a shortage of evidence available to enable specific design choices to be made and as a consequence, many designs are made on the basis of trial and error. In this study we develop prediction models to indicate the point at which training should stop for Neural Network based Electrocardiogram classifiers in order to ensure maximum generalisation.
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عنوان اصلی مقاله Computer-aided DSM-IV-diagnostics – acceptance, use and perceived usefulness in relation to users' learning styles
نوع مقاله مقاله ژورنال
نویسندگان Lars G Bergman, Uno GH Fors
چکیده / توضیح CDSS (computerized decision support system) for medical diagnostics have been studied for long. This study was undertaken to investigate how different preferences of Learning Styles (LS) of psychiatrists might affect acceptance, use and perceived usefulness of a CDSS for diagnostics in psychiatry.
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