University of Sistan and Baluchestan
Iranian Journal of Fuzzy Systems
1735-0654
6
1
2009
03
01
Cover Vol.6, No.1, Februery 2009
0
EN
10.22111/ijfs.2009.2899
http://ijfs.usb.ac.ir/article_2899.html
http://ijfs.usb.ac.ir/article_2899_64803482e5166a819fb1a57a0125543d.pdf
University of Sistan and Baluchestan
Iranian Journal of Fuzzy Systems
1735-0654
6
1
2009
02
11
ROBUST $H_{infty}$ CONTROL FOR T–S TIME-VARYING DELAY
SYSTEMS WITH NORM BOUNDED UNCERTAINTY BASED ON
LMI APPROACH
1
14
EN
Han-Liang
Huang
Department of Mathematics, Beijing Institute of Technology,
Beijing 100081, China
hl_huang1980.student@sina.com
Fu-Gui
Shi
Department of Mathematics, Beijing Institute of Technology, Beijing
100081, China
f.g.shi@263.net
10.22111/ijfs.2009.214
In this paper we consider the problem of delay-dependent robustH1 control for uncertain fuzzy systems with time-varying delay. The Takagi–Sugeno (T–S) fuzzy model is used to describe such systems. Time-delay isassumed to have lower and upper bounds. Based on the Lyapunov-Krasovskiifunctional method, a sufficient condition for the existence of a robust $H_{infty}$controller is obtained. The fuzzy state feedback gains are derived by solvingpertinent LMIs. The proposed method can avoid restrictions on the derivativeof the time-varying delay assumed in previous works. The effectiveness of ourmethod is demonstrated by a numerical example.
$H_{\infty}$ control,Linear Matrix Inequality (LMI),Delay-dependent,T–S
fuzzy systems,Uncertainty
http://ijfs.usb.ac.ir/article_214.html
http://ijfs.usb.ac.ir/article_214_04d0cd9efac09c8afac5f1cebbedce64.pdf
University of Sistan and Baluchestan
Iranian Journal of Fuzzy Systems
1735-0654
6
1
2009
02
11
COMBINING FUZZY QUANTIFIERS AND NEAT OPERATORS
FOR SOFT COMPUTING
15
25
EN
Ferenc
szidarovszky
Systems and Industrial Engineering Department, University of
Arizona, Tucson, Az 85721-0020, USA
szidar@sie.arizona.edu
Mahdi
Zarghami
Faculty of Civil Engineering, University of Tabriz, Tabriz 51664,
Iran
mzarghami@tabrizu.ac.ir
10.22111/ijfs.2009.216
This paper will introduce a new method to obtain the order weightsof the Ordered Weighted Averaging (OWA) operator. We will first show therelation between fuzzy quantifiers and neat OWA operators and then offer anew combination of them. Fuzzy quantifiers are applied for soft computingin modeling the optimism degree of the decision maker. In using neat operators,the ordering of the inputs is not needed resulting in better computationefficiency. The theoretical results will be illustrated in a water resources managementproblem. This case study shows that more sensitive decisions areobtained by using the new method.
OWA operator,Fuzzy quantifiers,Neat operator,Multi criteria decision
making,Watershed management
http://ijfs.usb.ac.ir/article_216.html
http://ijfs.usb.ac.ir/article_216_718ace55bcfe8d8ebb8889beaac78deb.pdf
University of Sistan and Baluchestan
Iranian Journal of Fuzzy Systems
1735-0654
6
1
2009
02
11
THE PERCENTILES OF FUZZY NUMBERS AND THEIR
APPLICATIONS
27
44
EN
Eynollah
Pasha
Department of Mathematics, The teacher Training University,
Tehran, Iran
pasha@saba.tmu.ac.ir
Abolfazl
Saiedifar
Department of Statistics, Science and Research branch, Islamic
Azad University, Tehran 14515-775, Iran
a-saiedi@iau-arak.ac.ir or saiedifar1349@yahoo.com
Babak
Asady
Department of Mathematics, Islamic Azad University, Arak, Iran
babakmz2002@yahoo.com
10.22111/ijfs.2009.217
The purpose of this study is to find the percentiles of fuzzy numbersand to demonstrate their applications, which include finding weightedmeans, dispersion indices, and the percentile intervals of fuzzy numbers. Thecrisp approximations of fuzzy numbers introduced in this paper are new andinteresting for the comparison of fuzzy environments, such as a variety of economic,financial, and engineering systems control problems.
Trimmed mean,Winsorized mean,Interquartile range,Skewness,Kurtosis,Percentile interval
http://ijfs.usb.ac.ir/article_217.html
http://ijfs.usb.ac.ir/article_217_28963c5c70c04cbeae3128254ac46d54.pdf
University of Sistan and Baluchestan
Iranian Journal of Fuzzy Systems
1735-0654
6
1
2009
02
11
ABSORBENT ORDERED FILTERS AND THEIR
FUZZIFICATIONS IN IMPLICATIVE SEMIGROUPS
45
61
EN
Young Bae
Jun
Department of Mathematics Education and (RINS), Gyeongsang National
University, Chinju 660-701, Korea
skywine@gmail.com
Chul Hwan
Park
Department of Mathematics, University of Ulsan, Ulsan 680-749,
Korea
skyrosemary@gmail.com
D. R.
Prince Williams
Department of Information Technology, Salalah College of
Technology, Post Box: 608, Salalah-211, Sultanate of Oman
princeshree1@gmail.com
10.22111/ijfs.2009.219
The notion of absorbent ordered filters in implicative semigroupsis introduced, and its fuzzification is considered. Relations among (fuzzy) orderedfilters, (fuzzy) absorbent ordered filters, and (fuzzy) positive implicativeordered filters are stated. The extensionproperty for (fuzzy) absorbent orderedfilters is established. Conditions for (fuzzy) ordered filters to be (fuzzy)absorbent ordered filters are provided. The notions of normal/maximal fuzzyabsorbent ordered filters and complete absorbent ordered filters are introducedand their properties are investigated.
Implicative semigroup,(fuzzy) positive implicative ordered filter,(fuzzy) absorbent ordered filter,Normal fuzzy absorbent ordered filter,Maximal fuzzy absorbent
ordered filter,Complete fuzzy absorbent ordered filter
http://ijfs.usb.ac.ir/article_219.html
http://ijfs.usb.ac.ir/article_219_2b5d899b27b4fb5bad6f5035658c89f7.pdf
University of Sistan and Baluchestan
Iranian Journal of Fuzzy Systems
1735-0654
6
1
2009
02
11
ON ($epsilon, epsilon vee q$)-FUZZY IDEALS OF BCI-ALGEBRAS
81
94
EN
Jianming
Zhan
Department of Mathematics, Hubei Institute for Nationalities, Enshi,
Hubei Province,445000, P. R. China
zhanjianming@hotmail.com
Young Bae
Jun
Department of Mathematics Education, Gyeongsang National University,
Chinju 660-701, Korea
skywine@gmail.com
Bijan
Davvaz
Department of Mathematics, Yazd University, Yazd, Iran
davvaz@yazduni.ac.ir
10.22111/ijfs.2009.222
The aim of this paper is to introduce the notions of ($epsilon, epsilon vee q$)-fuzzy p-ideals, ($epsilon, epsilon vee q$)-fuzzy q-ideals and ($epsilon, epsilon vee q$)-fuzzy a-ideals in BCIalgebras and to investigate some of their properties. Several characterizationtheorems for these generalized fuzzy ideals are proved and the relationshipamong these generalized fuzzy ideals of BCI-algebras is discussed. It is shownthat a fuzzy set of a BCI-algebra is an ($epsilon, epsilon vee q$)-fuzzy a-ideal if and only if itis both an ($epsilon, epsilon vee q$)-fuzzy p-ideal and an ($epsilon, epsilon vee q$)-fuzzy q-ideal. Finally, the concept of implication-based fuzzy a-ideals in BCI-algebras is introduced and,in particular, the implication operators in Lukasiewicz system of continuousvaluedlogic are discussed.
BCI-algebra,($\epsilon,\epsilon \vee q$)-fuzzy (p-,q- and a-) ideal,Fuzzy logic,Implication
operator
http://ijfs.usb.ac.ir/article_222.html
http://ijfs.usb.ac.ir/article_222_5803dad8f3359c0150f261e18f2d8330.pdf
University of Sistan and Baluchestan
Iranian Journal of Fuzzy Systems
1735-0654
6
1
2009
02
01
Persian-translation Vol.6, No.1, Februery 2009
97
102
EN
10.22111/ijfs.2009.2900
http://ijfs.usb.ac.ir/article_2900.html
http://ijfs.usb.ac.ir/article_2900_7982b613498239c3a5bb8604cc60869b.pdf