نتایج جستجو برای: type 2 fuzzy system

تعداد نتایج: 5203047  

2008
Mohsen Zamani Hossein Nejati Amin T. Jahromi AliReza Partovi Sadegh H. Nobari Ghasem N. Shirazi

Type-2 systems has been becoming the focus of research in the field of fuzzy logic in recent years. Comparing with type-1 systems, type-2 fuzzy systems are more complex and relatively more difficult to understand and implement. We developed an interactive graphical user interface (GUI) based toolbox, MFLS tool, for interval type-2 fuzzy logic system. This paper presents MFLS toolbox. Moreover, ...

ژورنال: کنترل 2021

Due to the continuation of the pandemic of Coronavirus in the whole world, the number of deaths has reached over one million, based on the World Health Organization reports. Early diagnosis of the illness can be great assistance in order to break the chain of disease transmission. Nowadays, COVID-19 test kits are so limited in numbers, and expensive in terms of cost, which slows down the diagno...

2010
Tsung-Chih Lin

In order to handle noisy measurement data, an interval type-2 fuzzy logic system (T2FLS) is proposed. In this paper, the evolution of soft fault diagnosis for analog circuits is explored based on a type-2 fuzzy logic system (T2FLS) which can handle measurement uncertainties. In order to evaluate the values of the faulty components accurately, a type-2 fuzzy rule base is adopted to describe the ...

Journal: :Appl. Soft Comput. 2008
Oscar Castillo Luis T. Aguilar Nohé R. Cázarez-Castro Selene L. Cardenas-Maciel

The concept of a type-2 fuzzy set was introduced by Prof. Zadeh, as an extension of the concept of an ordinary fuzzy set. A Fuzzy Logic System (FLS) described using at least one type-2 fuzzy set is called a type-2 FLS. Type-1 FLSs are unable to directly handle rule uncertainties, because they use type-1 fuzzy sets that are certain. On the other hand, type-2 FLSs, are very useful in circumstance...

2011
B. Cosenza M. Galluzzo

The objective of this experimental study is to compare the performance of type-1 and type-2 fuzzy logic controllers on a real system where the control of liquid level and temperature are considered. By the use of genetic algorithms it is possible to optimize the fuzzy sets of each fuzzy controller assuring high control performance. The experimental results show that a better control in terms of...

2018
Lakshmi Shrinivasan J. R. Raol

Received Jan 9, 2018 Revised Mar 2, 2018 Accepted Mar 18, 2018 This paper gives an overview of Type-2 Fuzzy sets (T2FSs) and Type-2 fuzzy Logic system (T2FLS) considering one aviation scenario. The existing type-1 Fuzzy system has limited capability to handle the uncertainty directly. In order to overcome the limitations of Type-1 fuzzy Logic system (T1FLS), a next level of fuzzy set is introdu...

J. M. Mendel W. Wang

Interval type-2 fuzzy sets, each of which is characterized by the footprint of uncertainty, are a very useful means to depict the linguistic information in the process of decision making. In this article, we investigate the group decision making problems in which all the linguistic information provided by the decision makers is expressed as interval type-2 fuzzy decision matrices where each of ...

Journal: :Journal of Japan Society for Fuzzy Theory and Intelligent Informatics 2013

پایان نامه :دانشگاه آزاد اسلامی - دانشگاه آزاد اسلامی واحد تهران مرکزی - دانشکده ادبیات و علوم انسانی 1389

abstract abstract of thesis (includes summary, goals, execution methods, and results) story “al-obnosat al-bayza” is one of the short stories from “hanna mineh” collection. this story is a selection of lives of some humans during a voyage together, each of them is a symbol of human nature (love, mind, kindness) and examine social, cultural, and political aspects of governing system, and it...

Journal: :Fuzzy Sets and Systems 2001
Nilesh N. Karnik Jerry M. Mendel

In this paper, we discuss set operations on type-2 fuzzy sets (including join and meet under minimum=product t-norm), algebraic operations, properties of membership grades of type-2 sets, and type-2 relations and their compositions. All this is needed to implement a type-2 fuzzy logic system (FLS). c © 2001 Elsevier Science B.V. All rights reserved.

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