دانلود رایگان مجموعه مقالات علمی اشپرینگر در زمینه منطق فازی — بخش 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 Spatially explicit decision support for selecting translocation areas for Mojave desert tortoises
نوع مقاله مقاله ژورنال
نویسندگان Jill S. Heaton, Kenneth E. Nussear, Todd C. Esque, Richard D. Inman, Frank M. Davenport, Thomas E. Leuteritz, Philip A. Medica, Nathan W. Strout, Paul A. Burgess, Lisa Benvenuti
چکیده / توضیح Spatially explicit decision support systems are assuming an increasing role in natural resource and conservation management. In order for these systems to be successful, however, they must address real-world management problems with input from both the scientific and management communities. The National Training Center at Fort Irwin, California, has expanded its training area, encroaching U.S. Fish and Wildlife Service critical habitat set aside for the Mojave desert tortoise (Gopherus agassizii), a federally threatened species. Of all the mitigation measures proposed to offset expansion, the most challenging to implement was the selection of areas most feasible for tortoise translocation. We developed an objective, open, scientifically defensible spatially explicit decision support system to evaluate translocation potential within the Western Mojave Recovery Unit for tortoise populations under imminent threat from military expansion. Using up to a total of 10 biological, anthropogenic, and/or logistical criteria, seven alternative translocation scenarios were developed. The final translocation model was a consensus model between the seven scenarios. Within the final model, six potential translocation areas were identified.
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عنوان اصلی مقاله Using crisp and fuzzy modelling to identify favourability hotspots useful to perform gap analysis
نوع مقاله مقاله ژورنال
نویسندگان Alba Estrada, Raimundo Real, J. Mario Vargas
چکیده / توضیح In this study, we propose the use of a favourability function to perform Gap Analysis. To exemplify this, we modelled the distribution of terrestrial mammal species in Andalusia (South of Spain) on the basis of their presence/absence on a grid of 10 km × 10 km UTM cells (n = 961). Using logistic regression and 30 variables related with the environment, space and human influence, we obtained probabilities of occurrence for each species in each cell. We computed a crisp favourability index considering the areas as favourable or unfavourable for a species if the probability of occurrence was higher or lower than the species prevalence, respectively. We also used a favourability function and fuzzy logic to level all species to the same threshold of favourability, which allowed to compare and to combine species distributions. Adding up the fuzzy favourability values for each species in each cell we obtained a fuzzy favourability index that we compared with species richness (sum of species in each cell) and with the crisp favourability index. We performed Gap Analysis by overlapping these results with the current reserve network of Andalusia. Gaps were grouped in fewer and bigger zones after applying the favourability indices. Considerations and recommendations for the use of the favourability function to select areas of conservation interest are discussed.
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عنوان اصلی مقاله Agreeing to disagree: uncertainty management in assessing climate change, impacts and responses by the IPCC
نوع مقاله مقاله ژورنال
نویسندگان Rob Swart, Lenny Bernstein, Minh Ha-Duong, Arthur Petersen
چکیده / توضیح Dealing consistently with risk and uncertainty across the IPCC reports is a difficult challenge. Huge practical difficulties arise from the Panel’s scale and interdisciplinary context, the complexity of the climate change issue and its political context. The key question of this paper is if the observed differences in the handling of uncertainties by the three IPCC Working Groups can be clarified. To address this question, the paper reviews a few key issues on the foundations of uncertainty analysis, and summarizes the history of the treatment of uncertainty by the IPCC. One of the key findings is that there is reason to agree to disagree: the fundamental differences between the issues covered by the IPCC’s three interdisciplinary Working Groups, between the type of information available, and between the dominant paradigms of the practitioners, legitimately lead to different approaches. We argue that properly using the IPCC’s Guidance Notes for Lead Authors for addressing uncertainty, adding a pedigree analysis for key findings, and particularly communicating the diverse nature of uncertainty to the users of the assessment would increase the quality of the assessment. This approach would provide information about the nature of the uncertainties in addition to their magnitude and the confidence assessors have in their findings.
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عنوان اصلی مقاله Recent trends in interactive multimedia computing for industry
نوع مقاله مقاله ژورنال
نویسندگان Raouf Boutaba, Kyung-Yong Chung, Mitsuo Gen
چکیده / توضیح As the development of IT convergence technology reaches its zenith, data in almost all areas have been developed and operated as knowledge based system after digitalization [1]. Interactive multimedia computing services allow people to access rich multimedia content anytime and anywhere using any device and different access networks. It is anticipated that multimedia services will change the way we operate and interact with the world by developing numerous interesting multimedia applications. Interactive multimedia computing in ubiquitous environment poses many research challenges. One of the challenges is processing overhead in a service environment [2–7]. Therefore, novel techniques, architectures, algorithms, experiences regarding multimedia applications, and industry services should be considered, including the following fundamental issues.
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عنوان اصلی مقاله Search of visually similar microscopic rock images
نوع مقاله مقاله ژورنال
نویسندگان Magdalena Ładniak, Mariusz Młynarczuk
چکیده / توضیح The present paper discusses the essential tenets of the method whose purpose is to enable effective search of images of given rock in multimedia databases. The search is based exclusively on an image request, to which the system’s response is a set of images presenting visually similar rocks. The images that constitute the basis of the discussed research had been registered with an optical microscope. The collection of images that were used in the process of performing measurements encompassed 5700 digital images presenting 19 rock types. The proposed method is based on the application of image analysis and artificial intelligence concepts. The very process of inference, in turn, makes use of the methods of data classification and grouping. In the paper, the authors demonstrate that these may turn out to be effective mathematical methods, successfully applied to the problem of image search, performed with imagings presenting rock textures. The discussed system concept, based on a feature space defined by the authors, successfully matches up images with the reference standard. The effectiveness rate of that process is very high (very often, it is 100 %). Failed classifications concern only the images which differ visually—in a considerable way—from the rest of the images within a given group. The proposed system concept is to facilitate the decision-making process involved in determining the similarity of investigated objects. In the opinion of the authors, it meets the requirements—and, as such, can be applied to the problem of searching for images in databases, searching discs in order to find images of given rocks and automatic information gain on the basis of video sequences, e.g., in order to find frames presenting particular rock structures.
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عنوان اصلی مقاله Strengthening the reporting of genetic risk prediction studies (GRIPS): explanation and elaboration
نوع مقاله مقاله ژورنال
نویسندگان A. Cecile J. W. Janssens, John P. A. Ioannidis, Sara Bedrosian, Paolo Boffetta, Siobhan M. Dolan, Nicole Dowling, Isabel Fortier, Andrew N. Freedman, Jeremy M. Grimshaw, Jeffrey Gulcher, Marta Gwinn, Mark A. Hlatky, Holly Janes, Peter Kraft, Stephanie Melillo, Christopher J. O’Donnell, Michael J. Pencina, David Ransohoff, Sheri D. Schully, Daniela Seminara, Deborah M. Winn, Caroline F. Wright, Cornelia M. van Duijn, Julian Little, Muin J. Khoury
چکیده / توضیح The rapid and continuing progress in gene discovery for complex diseases is fuelling interest in the potential application of genetic risk models for clinical and public health practice. The number of studies assessing the predictive ability is steadily increasing, but they vary widely in completeness of reporting and apparent quality. Transparent reporting of the strengths and weaknesses of these studies is important to facilitate the accumulation of evidence on genetic risk prediction. A multidisciplinary workshop sponsored by the Human Genome Epidemiology Network developed a checklist of 25 items recommended for strengthening the reporting of Genetic RIsk Prediction Studies (GRIPS), building on the principles established by prior reporting guidelines. These recommendations aim to enhance the transparency, quality and completeness of study reporting, and thereby to improve the synthesis and application of information from multiple studies that might differ in design, conduct or analysis.
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عنوان اصلی مقاله Experimental evaluation of a tool for the verification and transformation of source code in event-driven systems
نوع مقاله مقاله ژورنال
نویسندگان Gürcan Güleşir, Klaas van den Berg, Lodewijk Bergmans, Mehmet Akşit
چکیده / توضیح In event-driven systems, separating the reactive part of software (i.e., event-driven control) from the non-reactive part is a common design practice. The reactive part is typically structured according to the states and transitions of a system, whereas the non-reactive part is typically structured according to the concepts of the application domain (e.g., the services provided by the system). In such systems, the non-reactive part of software stimulates the reactive part with event calls. Whenever the non-reactive part is modified (e.g., during evolution), the existing event calls may become invalid, new event calls may become necessary, and the two parts of software may become incompatible. Manually finding and repairing these types of defects is a time-consuming and error-prone maintenance task. In this article, we present a solution that combines source code model checking and aspect-oriented programming techniques, to reduce the time spent by developers and to automatically find defects, while performing the maintenance task mentioned above. In addition, we present controlled experiments showing that the solution can reduce the time by 75%, and enable the prevention of one defect per 140 lines of source code.
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عنوان اصلی مقاله Introduction to the Special Issue Epistemic Aspects of Many-Valued Logics
نوع مقاله مقاله ژورنال
نویسندگان Timothy Childers, Ondrej Majer
چکیده / توضیح The papers in this special issue are based on presentations delivered at the conference Epistemic Aspects of Many-valued Logics, held at the Institute of Philosophy of the Academy of Sciences of the Czech Republic, in Prague, 2010. All papers consequently revolve around the application of non-classical logical tools—mathematical fuzzy logic and/or probability theory—to epistemological issues.
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عنوان اصلی مقاله On the boundary between laboratory ‘givens’ and laboratory ‘tangibles’
نوع مقاله مقاله ژورنال
نویسندگان Conal Boyce
چکیده / توضیح From the 4-part Procedure/Observations/Data/Analysis structure of a laboratory report (generalized from Italian, Chinese and US sources), we distill a fifth flavor, the givens, whose flip side is the freedoms or tangibles of an experiment. (Stated in terms of computer science, we are trying to find inputs and outputs, but these turn out to be surprisingly vague in chemistry.) Then, in the service of a white-boxing ethos (which sounds less severe than ‘anti black-boxing’), we establish a movable boundary between givens and tangibles, with implications for ‘ontological attitudes’ and for the future of chemistry. Next, in revisiting a 2002 exchange between Schummer and Laszlo, which might be paraphrased as the chemist-as-philosopher versus chemist-as-artisan, we apply a second kind of sliding scale which seems to harmonize the discussion. Finally, on a possibly quixotic note, we look briefly at a third kind of sliding scale, now aimed squarely at ontology itself. For illustrative purposes, we adopt an atomocentric viewpoint (as distinct from atomistic), and assign it the provisional name ‘Fuzzy CH4 Ontology’.
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عنوان اصلی مقاله Prediction of Uplift Pile Displacement Based on Cone Penetration Tests (CPT)
نوع مقاله مقاله ژورنال
نویسندگان A. Saeedi Azizkandi, A. Kashkooli, M. H. Baziar
چکیده / توضیح Accurate prediction of uplift pile displacement is necessary to ensure appropriate structural and serviceability performance of civil projects. On the other hand, in recent years, machine-learning models have been applied to many geotechnical-engineering problems, with some degrees of success. The scope of this research includes three main stages: (1) the compilation of load–displacement data sets, obtained from the published literature, (2) analysis of machine learning models that predict the uplift pile displacement based on the cone penetration test data, and the relative importance of input parameters that have been evaluated using senility analysis by the artificial neural network, In addition, this paper also examines the different selection of input parameters and internal network parameters to obtain the optimum model, (3) A parametric study has also been performed for the input parameters to study the consistency of the suggested model. The statistical parameters and parametric study obtained in this research show the superiority of the current model. It is demonstrated that machine learning models such as ANN and GP models outperform the traditional methods, and provide accurate uplift pile displacement predictions.
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