نتایج جستجو برای: interval type 2 fuzzy logic

تعداد نتایج: 3756803  

Journal: :iranian journal of science and technology transactions of mechanical engineering 2015
h. beirami m. m. zerafat

a novel technique is investigated for pid controller adaptation in order to control thetemperature of a liquid-phase reactor tank by using a heat exchanger system. as for nonlinearity,time delay problems and model uncertainties introduced by the heat exchanger, an interval type-2fuzzy system (it2fs) is implemented to enhance and improve the total control performance.moreover, the fuzzy inferenc...

Journal: :IEEE Sensors Journal 2021

This paper presents a novel approach to identify the prediction interval associated with data using type-2 fuzzy logic systems support vector regression. For such purpose, constrained quadratic objective function is defined which then solved well-established programming approaches. Not only does output of system replicates measured value, but also it provides lower bound and upper for values. I...

Journal: :EURASIP J. Adv. Sig. Proc. 2016
Noura Baccar Ridha Bouallegue

Indoor localization in wireless sensor networks (WSN) is a challenging process. This paper proposes a new approach to solve the localization problematic. A fuzzy linguistic localization scheme is proposed. Based on interval type 2 fuzzy logic (IT2FL), a signal processing of the radio signal strength indicator (RSSI) minimizes the uncertainty in RSSI measurements from anchors caused by the indoo...

Journal: :Algorithms 2017
Mauricio A. Sanchez Juan R. Castro Violeta Ocegueda-Miramontes Leticia Cervantes

This work is focused on creating fuzzy granular classification models based on general type-2 fuzzy logic systems when consequents are represented by interval type-2 TSK linear functions. Due to the complexity of general type-2 TSK fuzzy logic systems, a hybrid learning approach is proposed, where the principle of justifiable granularity is heuristically used to define an amount of uncertainty ...

2005
Simon Coupland Robert Ivor John

In this paper we give a complete description of an interval type-2 fuzzy logic system based on geometry. We compare our novel defuzzification technique with type-reduction.

Journal: :Journal of Japan Society for Fuzzy Theory and Systems 1990

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: :International Research Journal of Innovations in Engineering and Technology 2020

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