نتایج جستجو برای: fuzzy w

تعداد نتایج: 288049  

2003
H. D. Cheng Muyi Cui

This paper presents a novel fuzzy neural network (FNN) approach to detect malignant mass lesions on mammograms. The FNN is a self-adjusting and adaptive system. It is simple in structure and easy to incorporate experts' knowledge and fuzzified factors in the detection of malignant mass lesions on mammograms. The FNN has four layers. The first layer is the input layer consisting of 4 fuzzy neuro...

1974
Eiichiro Tazaki Michio Amagasa

1. I n t r o d u c t i o n ~ ]e concep t o f fuzzy s e t s d e f i n e d by Zadeh 1 ) g i v e s an i m p o r t a n t m a t h e m a t i c a l c l u e f o r an approach to s t u d i e s o f sys tems w i th no sha rp b o u n d a r i e s . L a t e l y , t h e fuzzy i n t e g r a l 2 ) b a s e d on t h e fuzzy s e t t h e o r y has been proposed and a p p l i e d t o t he measurement o f fuzzy o b j...

2005
CHENG-JIAN LIN CHENG-HUNG CHEN

K e y w o r d s C o m p e n s a t o r y , Fuzzy similarity measure, Inverted wedge system, Backpropagation algorithm. 1. I N T R O D U C T I O N Recently, the neural fuzzy approach to system modeling has become a popular research topic [110]. Moreover, the neural fuzzy method possesses the advantages of both the pure neural and the fuzzy methods; it brings the low-level learning and computation...

Journal: :Applicable Analysis and Discrete Mathematics 2021

The purpose of this paper is to present a common fixed point theorem for pair R-weakly commuting mappings defined on b-fuzzy metric spaces satisfying nonlinear contractive conditions Boyd-Wong type, obtained in D. W. Boyd, J. S. Wong: On contractions, Proc. Amer. Math. Soc. 20 (1969), 458-464.

پایان نامه :وزارت علوم، تحقیقات و فناوری - دانشگاه فردوسی مشهد - دانشکده مهندسی 1389

abstract type-ii fuzzy logic has shown its superiority over traditional fuzzy logic when dealing with uncertainty. type-ii fuzzy logic controllers are however newer and more promising approaches that have been recently applied to various fields due to their significant contribution especially when the noise (as an important instance of uncertainty) emerges. during the design of type- i fuz...

2007
Amarjeet Kaur

The systems and software development industry is characterized by a paradigm of project failure. One of the known contributing causes of these project failures is poor requirements engineering and management, which has been repeatedly and widely discussed and documented. But there are other factors also like poor project management practices, poor design strategy and inefficient testing princip...

Journal: : 2022

W artykule podjęto problematykę przekładu wierszowanego felietonu, który stanowi materiał ilustracyjny do innych badań naukowych. Ten cel, podobnie jak odległość temporalna między powstaniem oryginału a przekładu, narzuca tłumaczowi pewne wybory. Dlatego też obok prezentacji praktycznych rozwiązań translatorskich w pracy odniesiono się koncepcji wyboru odpowiedników spośród różnych możliwości i...

Journal: :Int. J. Systems Science 2005
W.-J. Chang C.-C. Shing

Discrete fuzzy covariance control for specified decay rate W.-J. Chang a & C.-C. Shing b a Department of Marine Engineering , National Taiwan Ocean University , Keelung 202, Taiwan, Republic of China b Institute of Electrical and Control Engineering , National Chiao Tung University , Hsinchu 300, Taiwan, Republic of China c Department of Marine Engineering , National Taiwan Ocean University , K...

Journal: :Int. J. Fuzzy Logic and Intelligent Systems 2003
Young Hoon Joo Veun-Woo Lee

A b st r a c t In th is papa -w e propose a new w avelet-ba d f uzzy model ing using a DN A coding method . General ly , it is wel l M om that the DN A coding method is more diverse in the know ledge expre ssion and better in the opt im izat ion P Hot¤tnm Ä £ an me genetalgor ithm (GA ) because i t can encode mom plent i ful genet ic informations bascd on the biological DN A M e proposed mcthod...

2012
Dun-wei Gong Xiao-yan Sun Jie Yuan

Interactive genetic algorithms (IGAs), proposed in mid 1980s, are effective methods to solve an optimization problem with implicit or fuzzy indices (Dawkins, 1986). These algorithms combine traditional evolution mechanism with a user’s intelligent evaluation, and the user assigns an individual’s fitness rather than a function that is difficult or even impossible to explicitly express. Up to now...

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