نتایج جستجو برای: interval type ii fuzzy logic

تعداد نتایج: 2150852  

Background: One of the serious complications of type 1 diabetes is a sudden increase and drop in blood glucose levels causing risks of anesthesia and coma. Thus, an important step towards the optimal control of the disease is to use intelligent methods with low error rate and available information in order to predict and prevent such complications. In this paper, a combined Fuzzy SARSA algorith...

Journal: :international journal of industrial engineering and productional research- 0
m.h. fazel zarandi department of industrial engineering, amirkabir university of technology, tehran, iran m. zarinbal department of industrial engineering, amirkabir university of technology, tehran, iran

image segmentation is an essential issue in image description and classification. currently, in many real applications, segmentation is still mainly manual or strongly supervised by a human expert, which makes it irreproducible and deteriorating. moreover, there are many uncertainties and vagueness in images, which crisp clustering and even type-1 fuzzy clustering could not handle. hence, type-...

The purpose of this research is Identifying and Prioritizing Sustainable Outsourcing Risk with Fuzzy Type II Data in National Company for Southern Oilfields. This research was a Mix methodology and used qualitative and quantitative analytical processes to collect and analyze data. In the qualitative part, meta-analysis was first used to identify its components and themes to assess the risk of s...

Journal: :Fuzzy Sets and Systems 2003
Mai Gehrke Carol L. Walker Elbert A. Walker

In this paper, we examine and compare De Morgan-, Kleene-, and Booleandisjunctive and conjunctive normal forms and consider their role in fuzzy settings. In particular, we describe normal forms and truth tables for classical fuzzy propositional logic and interval-valued fuzzy propositional logic that are completely analogous to those for Boolean propositional logic. Thus, determining logical eq...

2014
Mohammed Z. Al-Faiz Mohammed S. Saleh

Uncertainty is an inherent part in controllers for real world applications. In this paper we compare the performance differences between type-1 and interval type-2 fuzzy logic (IT2FLC) controllers, with five and three term membership functions. The controllers are used to control a PM DC motor in a closed loop real time system. The performance of system with each controller to a step is recorde...

Journal: :journal of advances in computer research 0
vahid khodashenas limouni department of electrical engineering, ali abad katoul branch, islamic azad university, ali abad katoul, iran young researchers and elite club, ali abad katoul branch, islamic azad university, ali abad katoul, iran s.asghar gholamian faculty of electrical and computer engineering, babol university of technology, babol, iran mehran taghipour gorjikolaie faculty of electrical engineering, university of birjand, birjand, iran

the idea of this paper is designing an automatic fault detection system based on fuzzy logic, therefore two signals of pmsm in fault condition are analyzed for inter turn fault detection: current and torque. in this fault type there is some distortion in these signals, but it is not good enough to detecting with fuzzy logic solely, so with combination of wavelet transform and fcm a new method f...

داوود نظری مریم آبادی علیرضا الفی, محمدحسن خوبان مهدی سیاهی,

This paper introduces a novel control methodology based on fuzzy controller for a glucose-insulin regulatory system of type I diabetes patient. First, in order to incorporate knowledge about patient treatment, a fuzzy logic controller is employed for regulating the gains of the basis Proportional-Integral (PI) as a self-tuning controller. Then, to overcome the key drawback of fuzzy logic contro...

2007
E. Jammeh M. Fleury C. Wagner H. Hagras M. Ghanbari

Intelligent congestion control is vital in encoded video streaming of a clip or film, as network traffic volatility requires constant adjustment of the bit-rate. Equation-based solutions to congestion control are prone to fluctuations in the delivery rate and may respond only when packet loss has already occurred, while both fluctuations and packet loss affect the end-user’s perception of the d...

Journal: :IEICE Transactions 2009
Bing-Fei Wu Li-Shan Ma Jau-Woei Perng

This study analyzes the absolute stability in P and PD type fuzzy logic control systems with both certain and uncertain linear plants. Stability analysis includes the reference input, actuator gain and interval plant parameters. For certain linear plants, the stability (i.e. the stable equilibriums of error) in P and PD types is analyzed with the Popov or linearization methods under various ref...

2008
L. A. ZADEH

PRUF--an acronym for Possibilistie Relational Universal Fuzzy--is a meaning representation language for natural languages which departs from the conventional approaches to the theory of meaning in several important respects. First, a basic assumption underlying PRUF is that the imprecision that is intrinsic in natural languages is, for the most part, possibilistic rather than probabilistic in n...

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