2018-01-20T06:20:38Z
http://ijfs.usb.ac.ir/?_action=export&rf=summon&issue=57
Iranian Journal of Fuzzy Systems
IJFS
1735-0654
1735-0654
2009
6
1
Cover Vol.6, No.1, Februery 2009
2009
03
01
0
http://ijfs.usb.ac.ir/article_2899_64803482e5166a819fb1a57a0125543d.pdf
Iranian Journal of Fuzzy Systems
IJFS
1735-0654
1735-0654
2009
6
1
ROBUST $H_{infty}$ CONTROL FOR T–S TIME-VARYING DELAY
SYSTEMS WITH NORM BOUNDED UNCERTAINTY BASED ON
LMI APPROACH
Han-Liang
Huang
Fu-Gui
Shi
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
2009
02
11
1
14
http://ijfs.usb.ac.ir/article_214_04d0cd9efac09c8afac5f1cebbedce64.pdf
Iranian Journal of Fuzzy Systems
IJFS
1735-0654
1735-0654
2009
6
1
COMBINING FUZZY QUANTIFIERS AND NEAT OPERATORS
FOR SOFT COMPUTING
Ferenc
szidarovszky
Mahdi
Zarghami
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
2009
02
11
15
25
http://ijfs.usb.ac.ir/article_216_718ace55bcfe8d8ebb8889beaac78deb.pdf
Iranian Journal of Fuzzy Systems
IJFS
1735-0654
1735-0654
2009
6
1
THE PERCENTILES OF FUZZY NUMBERS AND THEIR
APPLICATIONS
Eynollah
Pasha
Abolfazl
Saiedifar
Babak
Asady
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
2009
02
11
27
44
http://ijfs.usb.ac.ir/article_217_28963c5c70c04cbeae3128254ac46d54.pdf
Iranian Journal of Fuzzy Systems
IJFS
1735-0654
1735-0654
2009
6
1
ABSORBENT ORDERED FILTERS AND THEIR
FUZZIFICATIONS IN IMPLICATIVE SEMIGROUPS
Young Bae
Jun
Chul Hwan
Park
D. R.
Prince Williams
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
2009
02
11
45
61
http://ijfs.usb.ac.ir/article_219_2b5d899b27b4fb5bad6f5035658c89f7.pdf
Iranian Journal of Fuzzy Systems
IJFS
1735-0654
1735-0654
2009
6
1
ON L-FUZZIFYING CONVERGENCE SPACES
Wei
Yao
Based on a complete Heyting algebra L, the relations between Lfuzzifyingconvergence spaces and L-fuzzifying topological spaces are studied.It is shown that, as a reflective subcategory, the category of L-fuzzifying topologicalspaces could be embedded in the category of L-fuzzifying convergencespaces and the latter is cartesian closed. Also the specialization L-preorderof L-fuzzifying convergence spaces and that of L-fuzzifying topological spacesare investigated.
L-fuzzifying topology
L-filter of ordinary subsets
L-fuzzifying convergence
space
L-preorder
2009
02
11
63
80
http://ijfs.usb.ac.ir/article_220_60c18d2dc4972018a9b61194fa28e509.pdf
Iranian Journal of Fuzzy Systems
IJFS
1735-0654
1735-0654
2009
6
1
ON ($epsilon, epsilon vee q$)-FUZZY IDEALS OF BCI-ALGEBRAS
Jianming
Zhan
Young Bae
Jun
Bijan
Davvaz
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
2009
02
11
81
94
http://ijfs.usb.ac.ir/article_222_5803dad8f3359c0150f261e18f2d8330.pdf
Iranian Journal of Fuzzy Systems
IJFS
1735-0654
1735-0654
2009
6
1
Persian-translation Vol.6, No.1, Februery 2009
2009
02
01
97
102
http://ijfs.usb.ac.ir/article_2900_7982b613498239c3a5bb8604cc60869b.pdf