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

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.

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

عنوان اصلی مقاله Brain activity and medical diagnosis: an EEG study
نوع مقاله مقاله ژورنال
نویسندگان Laila Massad Ribas, Fábio Theoto Rocha, Neli Regina Siqueira Ortega, Armando Freitas da Rocha, Eduardo Massad
چکیده / توضیح Despite new brain imaging techniques that have improved the study of the underlying processes of human decision-making, to the best of our knowledge, there have been very few studies that have attempted to investigate brain activity during medical diagnostic processing. We investigated brain electroencephalography (EEG) activity associated with diagnostic decision-making in the realm of veterinary medicine using X-rays as a fundamental auxiliary test. EEG signals were analysed using Principal Components (PCA) and Logistic Regression Analysis
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عنوان اصلی مقاله Hybridization of multi-objective evolutionary algorithms and fuzzy control for automated construction, tuning, and analysis of neuronal models
نوع مقاله مقاله ژورنال
نویسندگان Parth Patel, Myles Johnson-Gray, Emlyne Forren, Atish Malik, Tomasz G Smolinski
چکیده / توضیح As of late, automated methods for generation and tuning of neuronal models have been gaining popularity (e.g. [1]). Several such techniques, including brute-force parameter search space exploration (e.g.[2]) or particle swarm optimization (e.g.[3]), have been successfully applied in this area; however, evolutionary/genetic algorithms seem to be the tool of choice for an increasing number of computational neuroscientists (e.g.[4, 5]). Multi-objective evolutionary algorithms (MOEA) lend themselves especially well to this application, as they are capable of generating or tuning neuronal models by optimizing multiple, often conflicting, objectives at the same time (e.g.[6, 7]). The one weakness of MOEA-based construction of neuronal models, however, is the fact that it solely relies on the convergence efficiency of the chosen algorithm, and it largely ignores the plethora of available biological knowledge (other than what is utilized in the initial stages of model building in terms of the ...
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عنوان اصلی مقاله Medical concepts related to individual risk are better explained with "plausibility" rather than "probability"
نوع مقاله مقاله ژورنال
نویسندگان Enzo Grossi
چکیده / توضیح The concept of risk has pervaded medical literature in the last decades and has become a familiar topic, and the concept of probability, linked to binary logic approach, is commonly applied in epidemiology and clinical medicine. The application of probability theory to groups of individuals is quite straightforward but can pose communication challenges at individual level. Few articles by the way have tried to focus the concept of "risk" at the individual subject level rather than at population level.
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عنوان اصلی مقاله How artificial intelligence tools can be used to assess individual patient risk in cardiovascular disease: problems with the current methods
نوع مقاله مقاله ژورنال
نویسندگان Enzo Grossi
چکیده / توضیح In recent years a number of algorithms for cardiovascular risk assessment has been proposed to the medical community. These algorithms consider a number of variables and express their results as the percentage risk of developing a major fatal or non-fatal cardiovascular event in the following 10 to 20 years
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عنوان اصلی مقاله Implementation of workflow engine technology to deliver basic clinical decision support functionality
نوع مقاله مقاله ژورنال
نویسندگان Vojtech Huser, Luke V Rasmussen, Ryan Oberg, Justin B Starren
چکیده / توضیح Workflow engine technology represents a new class of software with the ability to graphically model step-based knowledge. We present application of this novel technology to the domain of clinical decision support. Successful implementation of decision support within an electronic health record (EHR) remains an unsolved research challenge. Previous research efforts were mostly based on healthcare-specific representation standards and execution engines and did not reach wide adoption. We focus on two challenges in decision support systems: the ability to test decision logic on retrospective data prior prospective deployment and the challenge of user-friendly representation of clinical logic.
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عنوان اصلی مقاله Creating groups with similar expected behavioural response in randomized controlled trials: a fuzzy cognitive map approach
نوع مقاله مقاله ژورنال
نویسندگان Philippe J Giabbanelli, Rik Crutzen
چکیده / توضیح Controlling bias is key to successful randomized controlled trials for behaviour change. Bias can be generated at multiple points during a study, for example, when participants are allocated to different groups. Several methods of allocations exist to randomly distribute participants over the groups such that their prognostic factors (e.g., socio-demographic variables) are similar, in an effort to keep participants’ outcomes comparable at baseline. Since it is challenging to create such groups when all prognostic factors are taken together, these factors are often balanced in isolation or only the ones deemed most relevant are balanced. However, the complex interactions among prognostic factors may lead to a poor estimate of behaviour, causing unbalanced groups at baseline, which may introduce accidental bias.
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عنوان اصلی مقاله Fuzzy technique for microcalcifications clustering in digital mammograms
نوع مقاله مقاله ژورنال
نویسندگان Letizia Vivona, Donato Cascio, Francesco Fauci, Giuseppe Raso
چکیده / توضیح Mammography has established itself as the most efficient technique for the identification of the pathological breast lesions. Among the various types of lesions, microcalcifications are the most difficult to identify since they are quite small (0.1-1.0 mm) and often poorly contrasted against an images background. Within this context, the Computer Aided Detection (CAD) systems could turn out to be very useful in breast cancer control.
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عنوان اصلی مقاله Use of cerebral state index to predict long-term unconsciousness in patients after elective craniotomy with delay recovery
نوع مقاله مقاله ژورنال
نویسندگان Ming Xu, Yan-Ni Lei, Jian-Xin Zhou
چکیده / توضیح The major difficulty in postoperative care in patients after craniotomy is to distinguish the intracranial deficits from the residual effect of general anesthesia. In present study, we used cerebral state index (CSI) monitoring in patients after craniotomy with delayed recovery, and evaluated the prediction probability of CSI for long-term postoperative unconsciousness.
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عنوان اصلی مقاله Detection of leukocoria using a soft fusion of expert classifiers under non-clinical settings
نوع مقاله مقاله ژورنال
نویسندگان Pablo Rivas-Perea, Erich Baker, Greg Hamerly, Bryan F Shaw
چکیده / توضیح Leukocoria is defined as a white reflection and its manifestation is symptomatic of several ocular pathologies, including retinoblastoma (Rb). Early detection of recurrent leukocoria is critical for improved patient outcomes and can be accomplished via the examination of recreational photography. To date, there exists a paucity of methods to automate leukocoria detection within such a dataset.
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عنوان اصلی مقاله A regret theory approach to decision curve analysis: A novel method for eliciting decision makers' preferences and decision-making
نوع مقاله مقاله ژورنال
نویسندگان Athanasios Tsalatsanis, Iztok Hozo, Andrew Vickers, Benjamin Djulbegovic
چکیده / توضیح Decision curve analysis (DCA) has been proposed as an alternative method for evaluation of diagnostic tests, prediction models, and molecular markers. However, DCA is based on expected utility theory, which has been routinely violated by decision makers. Decision-making is governed by intuition (system 1), and analytical, deliberative process (system 2), thus, rational decision-making should reflect both formal principles of rationality and intuition about good decisions. We use the cognitive emotion of regret to serve as a link between systems 1 and 2 and to reformulate DCA.
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