دانلود رایگان مجموعه مقالات علمی اشپرینگر در زمینه منطق فازی — بخش چهلم
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 | Artificial neuro fuzzy logic system for detecting human emotions |
| نوع مقاله | مقاله ژورنال |
| نویسندگان | Mohammad Malkawi, Omayya Murad |
| چکیده / توضیح | This paper presents an adaptive neuro/fuzzy system which can be trained to detect the current human emotions from a set of measured responses. Six models are built using different types of input/output membership functions and trained by different kinds of input arrays. The models are compared based on their ability to train with lowest error values. Many factors impact the error values such as input/output membership functions, the training data arrays, and the number of epochs required to train the model. ANFIS editor in MATLAB is used to build the models. |
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| عنوان اصلی مقاله | Assisting regional policy by rapidly comparing enterprise innovation between regions |
| نوع مقاله | مقاله ژورنال |
| نویسندگان | Yiannis Nikolaidis, Konstantinos Fouskas, Elias G Carayannis |
| چکیده / توضیح | Regional development must heavily rely on innovation in order to be competitive and improve the standard of living of its citizens. However, regional policies regarding innovation is often limited by decelerated decision making process which is often based on outdated qualitative information and data which are difficult to statistically analyze. In order to continuously evaluate the progress of regions and assess different innovation indicators in shorter periods, a quantitative measurement of innovation should be followed. |
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| عنوان اصلی مقاله | Weak forms of continuity in I-double gradation fuzzy topological spaces |
| نوع مقاله | مقاله ژورنال |
| نویسندگان | A Ghareeb |
| چکیده / توضیح | In this paper, we introduce and characterize double fuzzy weakly preopen and double fuzzy weakly preclosed functions between I-double gradation fuzzy topological spaces and also study these functions in relation to some other types of already known functions. |
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| عنوان اصلی مقاله | Neuro-fuzzy controller to navigate an unmanned vehicle |
| نوع مقاله | مقاله ژورنال |
| نویسندگان | Boumediene Selma, Samira Chouraqui |
| چکیده / توضیح | A Neuro-fuzzy control method for an Unmanned Vehicle (UV) simulation is described. The objective is guiding an autonomous vehicle to a desired destination along a desired path in an environment characterized by a terrain and a set of distinct objects, such as obstacles like donkey traffic lights and cars circulating in the trajectory. The autonomous navigate ability and road following precision are mainly influenced by its control strategy and real-time control performance. Fuzzy Logic Controller can very well describe the desired system behavior with simple “if-then” relations owing the designer to derive “if-then” rules manually by trial and error. On the other hand, Neural Networks perform function approximation of a system but cannot interpret the solution obtained neither check if its solution is plausible. The two approaches are complementary. Combining them, Neural Networks will allow learning capability while Fuzzy-Logic will bring knowledge representation (Neuro-Fuzzy). In this paper, an artificial neural network fuzzy inference system (ANFIS) controller is described and implemented to navigate the autonomous vehicle. Results show several improvements in the control system adjusted by neuro-fuzzy techniques in comparison to the previous methods like Artificial Neural Network (ANN). |
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| عنوان اصلی مقاله | Competitiveness measurement system in the advertising sector |
| نوع مقاله | مقاله ژورنال |
| نویسندگان | Rocío Poveda-Bautista, Mónica García-Melón, Doris C Baptista |
| چکیده / توضیح | In this paper a new approach to find indicators that can be used to measure companies’ competitiveness and performance in an efficient and reliable way is presented. |
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| عنوان اصلی مقاله | Fuzzy inference game approach to uncertainty in business decisions and market competitions |
| نوع مقاله | مقاله ژورنال |
| نویسندگان | Festus Oluseyi Oderanti |
| چکیده / توضیح | The increasing challenges and complexity of business environments are making business decisions and operations more difficult for entrepreneurs to predict the outcomes of these processes. Therefore, we developed a decision support scheme that could be used and adapted to various business decision processes. These involve decisions that are made under uncertain situations such as business competition in the market or wage negotiation within a firm. The scheme uses game strategies and fuzzy inference concepts to effectively grasp the variables in these uncertain situations. The games are played between human and fuzzy players. The accuracy of the fuzzy rule base and the game strategies help to mitigate the adverse effects that a business may suffer from these uncertain factors. We also introduced learning which enables the fuzzy player to adapt over time. We tested this scheme in different scenarios and discover that it could be an invaluable tool in the hand of entrepreneurs that are operating under uncertain and competitive business environments. |
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| عنوان اصلی مقاله | A study of an adaptive replication framework for orchestrated composite web services |
| نوع مقاله | مقاله ژورنال |
| نویسندگان | Marwa F Mohamed, Hany F ElYamany, Hamed M Nassar |
| چکیده / توضیح | Replication is considered one of the most important techniques to improve the Quality of Services (QoS) of published Web Services. It has achieved impressive success in managing resource sharing and usage in order to moderate the energy consumed in IT environments. For a robust and successful replication process, attention should be paid to suitable time as well as the constraints and capabilities in which the process runs. The replication process is time-consuming since outsourcing some new replicas into other hosts is lengthy. Furthermore, nowadays, most of the business processes that might be implemented over the Web are composed of multiple Web services working together in two main styles: Orchestration and Choreography. Accomplishing a replication over such business processes is another challenge due to the complexity and flexibility involved. In this paper, we present an adaptive replication framework for regular and orchestrated composite Web services. The suggested framework includes a number of components for detecting unexpected and unhappy events that might occur when consuming the original published web services including failure or overloading. It also includes a specific replication controller to manage the replication process and select the best host that would encapsulate a new replica. In addition, it includes a component for predicting the incoming load in order to decrease the time needed for outsourcing new replicas, enhancing the performance greatly. A simulation environment has been created to measure the performance of the suggested framework. The results indicate that adaptive replication with prediction scenario is the best option for enhancing the performance of the replication process in an online business environment. |
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| عنوان اصلی مقاله | A knowledge representation approach using fuzzy cognitive maps for better navigation support in an adaptive learning system |
| نوع مقاله | مقاله ژورنال |
| نویسندگان | Konstantina Chrysafiadi, Maria Virvou |
| چکیده / توضیح | In this paper a knowledge representation approach of an adaptive and/or personalized tutoring system is presented. The domain knowledge should be represented in a more realistic way in order to allow the adaptive and/or personalized tutoring system to deliver the learning material to each individual learner dynamically taking into account her/his learning needs and her/his different learning pace. To succeed this, the domain knowledge representation has to depict the possible increase or decrease of the learner’s knowledge. Considering that the domain concepts that constitute the learning material are not independent from each other, the knowledge representation approach has to allow the system to recognize either the domain concepts that are already partly or completely known for a learner, or the domain concepts that s/he has forgotten, taking into account the learner’s knowledge level of the related concepts. In other words, the system should be informed about the knowledge dependencies that exist among the domain concepts of the learning material, as well as the strength on impact of each domain concept on others. Fuzzy Cognitive Maps (FCMs) seem to be an ideal way for representing graphically this kind of information. The suggested knowledge representation approach has been implemented in an e-learning adaptive system for teaching computer programming. The particular system was used by the students of a postgraduate program in the field of Informatics in the University of Piraeus and was compared with a corresponding system, in which the domain knowledge was represented using the most common used technique of network of concepts. The results of the evaluation were very encouraging. |
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| عنوان اصلی مقاله | Public warning systems for forecasting ambient ozone pollution in Kuwait |
| نوع مقاله | مقاله ژورنال |
| نویسندگان | Eiman Tamah Al-Shammari |
| چکیده / توضیح | In this paper, the performances of different forecasting systems are compared using the daily maximum ozone levels across three locations in Kuwait. The two analytical tools used in this study to forecast daily maximum ozone levels are time series modeling and fuzzy modeling. The structure of the two proposed forecasting models are derived from basic principles, which include a combination of persistence and daily maximum air temperature as input variables. |
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| عنوان اصلی مقاله | Determining the revenue contribution of logistics customer service improvements: a multi criteria decision making approach |
| نوع مقاله | مقاله ژورنال |
| نویسندگان | Philip Wessely, Erik Hofmann |
| چکیده / توضیح | In operations and service management generating revenues is as important as reducing costs. Although logistics customer service is an important measure for executives, little research has been conducted to quantify the extent to which improvements of service levels contribute to a company’s revenues. The paper applies existing fuzzy-based methods to monetarily determine the revenue contribution of logistics customer service. A logistics customer service-revenue curve and its influencing parameters are derived to obtain a quantitative relation. The method of the analytical hierarchy process is evolved dynamically by involving competitors and customer reactions. A case study from the consumer goods industry illustrates the main findings. |
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