eng
University of Sistan and Baluchestan
Iranian Journal of Fuzzy Systems
1735-0654
1735-0654
2009-03-01
6
1
0
10.22111/ijfs.2009.2899
2899
Cover Vol.6, No.1, Februery 2009
http://ijfs.usb.ac.ir/article_2899_64803482e5166a819fb1a57a0125543d.pdf
eng
University of Sistan and Baluchestan
Iranian Journal of Fuzzy Systems
1735-0654
1735-0654
2009-02-11
6
1
1
14
10.22111/ijfs.2009.214
214
مقاله پژوهشی
ROBUST $H_{infty}$ CONTROL FOR T–S TIME-VARYING DELAY
SYSTEMS WITH NORM BOUNDED UNCERTAINTY BASED ON
LMI APPROACH
Han-Liang Huang
hl_huang1980.student@sina.com
1
Fu-Gui Shi
f.g.shi@263.net
2
Department of Mathematics, Beijing Institute of Technology, Beijing 100081, China
Department of Mathematics, Beijing Institute of Technology, Beijing 100081, China
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.
http://ijfs.usb.ac.ir/article_214_04d0cd9efac09c8afac5f1cebbedce64.pdf
$H_{infty}$ control
Linear Matrix Inequality (LMI)
Delay-dependent
T–S
fuzzy systems
Uncertainty
eng
University of Sistan and Baluchestan
Iranian Journal of Fuzzy Systems
1735-0654
1735-0654
2009-02-11
6
1
15
25
10.22111/ijfs.2009.216
216
مقاله پژوهشی
COMBINING FUZZY QUANTIFIERS AND NEAT OPERATORS
FOR SOFT COMPUTING
Ferenc szidarovszky
szidar@sie.arizona.edu
1
Mahdi Zarghami
mzarghami@tabrizu.ac.ir
2
Systems and Industrial Engineering Department, University of Arizona, Tucson, Az 85721-0020, USA
Faculty of Civil Engineering, University of Tabriz, Tabriz 51664, Iran
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.
http://ijfs.usb.ac.ir/article_216_718ace55bcfe8d8ebb8889beaac78deb.pdf
OWA operator
Fuzzy quantifiers
Neat operator
Multi criteria decision
making
Watershed management
eng
University of Sistan and Baluchestan
Iranian Journal of Fuzzy Systems
1735-0654
1735-0654
2009-02-11
6
1
27
44
10.22111/ijfs.2009.217
217
مقاله پژوهشی
THE PERCENTILES OF FUZZY NUMBERS AND THEIR
APPLICATIONS
Eynollah Pasha
pasha@saba.tmu.ac.ir
1
Abolfazl Saiedifar
a-saiedi@iau-arak.ac.ir or saiedifar1349@yahoo.com
2
Babak Asady
babakmz2002@yahoo.com
3
Department of Mathematics, The teacher Training University, Tehran, Iran
Department of Statistics, Science and Research branch, Islamic Azad University, Tehran 14515-775, Iran
Department of Mathematics, Islamic Azad University, Arak, Iran
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.
http://ijfs.usb.ac.ir/article_217_28963c5c70c04cbeae3128254ac46d54.pdf
Trimmed mean
Winsorized mean
Interquartile range
Skewness
Kurtosis
Percentile interval
eng
University of Sistan and Baluchestan
Iranian Journal of Fuzzy Systems
1735-0654
1735-0654
2009-02-11
6
1
45
61
10.22111/ijfs.2009.219
219
مقاله پژوهشی
ABSORBENT ORDERED FILTERS AND THEIR
FUZZIFICATIONS IN IMPLICATIVE SEMIGROUPS
Young Bae Jun
skywine@gmail.com
1
Chul Hwan Park
skyrosemary@gmail.com
2
D. R. Prince Williams
princeshree1@gmail.com
3
Department of Mathematics Education and (RINS), Gyeongsang National University, Chinju 660-701, Korea
Department of Mathematics, University of Ulsan, Ulsan 680-749, Korea
Department of Information Technology, Salalah College of Technology, Post Box: 608, Salalah-211, Sultanate of Oman
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.
http://ijfs.usb.ac.ir/article_219_2b5d899b27b4fb5bad6f5035658c89f7.pdf
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
eng
University of Sistan and Baluchestan
Iranian Journal of Fuzzy Systems
1735-0654
1735-0654
2009-02-11
6
1
81
94
10.22111/ijfs.2009.222
222
مقاله پژوهشی
ON ($epsilon, epsilon vee q$)-FUZZY IDEALS OF BCI-ALGEBRAS
Jianming Zhan
zhanjianming@hotmail.com
1
Young Bae Jun
skywine@gmail.com
2
Bijan Davvaz
davvaz@yazduni.ac.ir
3
Department of Mathematics, Hubei Institute for Nationalities, Enshi, Hubei Province,445000, P. R. China
Department of Mathematics Education, Gyeongsang National University, Chinju 660-701, Korea
Department of Mathematics, Yazd University, Yazd, Iran
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.
http://ijfs.usb.ac.ir/article_222_5803dad8f3359c0150f261e18f2d8330.pdf
BCI-algebra
($epsilon
epsilon vee q$)-fuzzy (p-
q- and a-) ideal
Fuzzy logic
Implication
operator
eng
University of Sistan and Baluchestan
Iranian Journal of Fuzzy Systems
1735-0654
1735-0654
2009-02-01
6
1
97
102
10.22111/ijfs.2009.2900
2900
Persian-translation Vol.6, No.1, Februery 2009
http://ijfs.usb.ac.ir/article_2900_7982b613498239c3a5bb8604cc60869b.pdf