نتایج جستجو برای: type 2 fuzzy expert system

تعداد نتایج: 5239710  

ژورنال: محاسبات نرم 2013

A type-2 fuzzy set (or fuzzy-fuzzy set) is a fuzzy set that has fuzzy membership degrees. Such a set is useful wherein it is difficult to determine the exact membership degrees. A type-2 fuzzy system is robust against uncertainties that occur in fuzzy rules and system parameters. In this paper, first, The history of type-2 fuzzy theory which is developed during 25 recently years briefly is revi...

Controller design remains an elusive and challenging problem foruncertain nonlinear dynamics. Interval type-2 fuzzy logic systems (IT2FLS) incomparison with type-1 fuzzy logic systems claim to effectively handle systemuncertainties especially in the presence of disturbances and noises, but lack aformal mechanism to guarantee performance. In contrast, adaptive sliding modecontrol (ASMC) provides...

Journal: :international journal of information, security and systems management 0

expert systems are computer programs that make the knowledge of experts available when a human expert is not with in easy reach. the systems are to simulate the thinking and inference pattern of human being. the ultimate goal of expert system is to be analogous to human as much as possible. utilizing the intelligent system in commerce is indispensable for establishing a better connection with c...

2014
Chun - Ying Lee Ying Liu Chiang - Ho Cheng

The main objective of this article is to present the semi-active vibration control using an electro-rheological fluid embedded sandwich structure for a cantilever beam. ER fluid is a smart material, which cause the suspended particles polarize and connect each other to form chain. The stiffness and damping coefficients of the ER fluid can be changed in 10 micro seconds; therefore, ERF is suitab...

Journal: :مدیریت فناوری اطلاعات 0
محمد تقی تقوی فرد استادیار، گروه مهندسی صنایع، دانشکدۀ مدیریت و حسابداری، دانشگاه علامه طباطبایی، تهران، ایران فریبا سادات حسینی کارشناس ارشد مدیریت فناوری اطلاعات، دانشگاه علامه طباطبایی، تهران، ایران محمد خان بابایی دانشگاه آزاد اسلامی، واحد علوم و تحقیقات تهران، گروه مدیریت فناوری اطلاعات، تهران، ایران

expert systems can help to build banks customers' credit scoring models. here, selection of key features of the credit scoring is important. also, it is possible to express the features values as fuzzy. the problem is how to improve features selection by genetic algorithm, in way that these features can be employed as input in fuzzy expert system. this paper presents a hybrid credit scorin...

Journal: :shiraz journal of system management 0

higher education plays a very vital role in developing human resources as well as economic ones in every country. in so doing, the act of evaluation would help the decision makers as well as managers to spot the weaknesses to use the required provisions to work more effectively. the present study with a different approach toward the designing a comprehensive evaluation expert system using fuzzy...

Due to the multiplicity of standards and complex rules; maintenance, repair and servicing of machinery could be done only by the fully qualified and proficient experts. Since the knowledge of such experts is not available all times, using expert systems can help to improve the maintenance process. To address this need and the uncertainty of the maintenance process indicators, this research prop...

پایان نامه :وزارت علوم، تحقیقات و فناوری - دانشگاه صنعتی خواجه نصیرالدین طوسی - دانشکده نقشه برداری 1390

در تعیین مناسبت کاربری اراضی شهری (urban land use suitability)کنونی به لحاظ دخیل بودن معیارهای مختلف، پیچیدگی (complexity) محیط پیرامون و عدم قطعیت uncertainty)) در اطلاعات به نظر می رسد استفاده از یک سیستم خبره مکانی فازی (spatial fuzzy expert system ) دارای انعطاف بیشتری نسبت به روشهای عددی مرسوم می باشد و هوش و نبوغ انسانی را در تصمیم گیریها بهتر منعکس کرده و نتایج مفیدی را در پی خواهد داشت....

This paper deals with a multi-agent-based interval type-2 fuzzy (IT2F) expert systemfor scheduling steel continuous casting. Continuous caster scheduling is a complex and extensiveprocess that needs expert staff. In this study, a distributed multi-agent-based structure is proposed as asolution. The agents used herein can cooperate with each other via various communication protocols.To facilitat...

In this paper an adaptive neuro fuzzy inference system based on interval Gaussian type-2 fuzzy sets in the antecedent part and Gaussian type-1 fuzzy sets as coefficients of linear combination of input variables in the consequent part is presented. The capability of the proposed method (we named ANFIS2) to function approximation and dynamical system identification is shown. The ANFIS2 structure ...

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