eng
University of Sistan and Baluchestan
Iranian Journal of Fuzzy Systems
1735-0654
1735-0654
2008-02-29
5
1
0
10.22111/ijfs.2008.2905
2905
Cover Vol.5 No.1, February 2008
http://ijfs.usb.ac.ir/article_2905_0ba1ebddb100516d815ebe45cc27db3b.pdf
eng
University of Sistan and Baluchestan
Iranian Journal of Fuzzy Systems
1735-0654
1735-0654
2008-02-07
5
1
1
26
10.22111/ijfs.2008.313
313
مقاله پژوهشی
THE p-CENTER PROBLEM ON FUZZY NETWORKS AND
REDUCTION OF COST
Sk. Md. Abu Nayeem
nayeemsma@gmail.com
1
Madhumangal Pal
madhumangal@lycos.com
2
Department of Mathematics, Jhargram Raj College, Jhargram,
West Bengal, 721 507, India
Madhumangal Pal, Department of Applied Mathematics with Oceanology and Computer
Programming, Vidyasagar University, Midnapore, West Bengal, 721 102, India
Here we consider the
p-center problem on different types of fuzzy
networks. In particular, we are interested in the networks with interval and
triangular fuzzy arc lengths and vertex-weights. A methodology to obtain the
best satisfaction level of the decision maker who wishes to reduce the cost
within the tolerance limits is proposed. Illustrative examples are provided.
http://ijfs.usb.ac.ir/article_313_0738a752fd403495bad8e7740e8f8abd.pdf
Fuzzy sets
Location
Networks
eng
University of Sistan and Baluchestan
Iranian Journal of Fuzzy Systems
1735-0654
1735-0654
2008-02-08
5
1
27
45
10.22111/ijfs.2008.314
314
مقاله پژوهشی
INTELLIGENT TECHNIQUE OF CANCELING MATERNAL ECG IN
FECG EXTRACTION
C. KEZI SELVA VIJIILA
vijila_2000@yahoo.com,vijila@karunya.edu
1
P. KANAGASABAPATHY
pks@mail.mitindia.edu
2
DEPARTMENT OF ELECTRONICS AND COMMUNICATION ENGINEERING KARUNYA
UNIVERSITY, COIMBATORE, INDIA
DEAN MIT CAMPUS, ANNA UNIVERSITY, CHENNAL, INDIA
In this paper, we propose a technique of artificial intelligence called adaptive neuro fuzzy inference system (ANFIS) for canceling maternal electrocardiogram (MECG) in fetal electrocardiogram extraction (FECG).This technique is used to estimate the MECG present in the abdominal signal of a pregnant woman. The FECG is then extracted by subtracting the estimated MECG from the abdominal signal. Performance of the proposed method in terms of mean square error, signal to noise ratio is compared with neural network. Our results show that this method is a simple and powerful means for the extraction of FECG.
http://ijfs.usb.ac.ir/article_314_f843ad26f87fb8068ddf60da36570ec3.pdf
Interference cancellation
Neuro fuzzy logic
Fetal ECG extraction
eng
University of Sistan and Baluchestan
Iranian Journal of Fuzzy Systems
1735-0654
1735-0654
2008-02-08
5
1
47
53
10.22111/ijfs.2008.315
315
مقاله پژوهشی
A COMMON FIXED POINT THEOREM FOR $psi$-WEAKLY
COMMUTING MAPS IN L-FUZZY METRIC SPACES
R. Saadati
rsaadati@eml.cc
1
S. Sedghi
2
H. Zhou
3
Faculty of Sciences, University of Shomal, Amol, P.O. Box 731, Iran
Department of Mathematics, Islamic Azad University-Ghaemshahr Branch,
Ghaemshar, P.O. Box 163, Iran
Department of Mathematics, Shijiazhuang Mechnical Engineering University,
Shijiazhuang 050003, People’s Republic of China
In this paper, a common fixed point theorem for $psi$-weakly commuting
maps in L-fuzzy metric spaces is proved.
http://ijfs.usb.ac.ir/article_315_aa6fa13685f0d564567d253b8e56287a.pdf
L-Fuzzy contractive mapping
Complete L-fuzzy metric space
Common
fixed point theorem
$psi$-weakly commuting maps
eng
University of Sistan and Baluchestan
Iranian Journal of Fuzzy Systems
1735-0654
1735-0654
2008-02-08
5
1
55
64
10.22111/ijfs.2008.316
316
مقاله پژوهشی
FUZZY IDEALS AND FUZZY LIMIT STRUCTURES
Yueli Yue
yueliyue@163.com
1
Jinming Fang
jinming-fang@163.com
2
Department of Mathematics, Ocean University of China, Qingdao, 266071,
P. R. China
Department of Mathematics, Ocean University of China, Qingdao,
266071, P. R. China
In this paper, we establish the theory of fuzzy ideal convergence on
completely distributive lattices and give characterizations of some topological
notions. We also study fuzzy limit structures and discuss the relationship
between fuzzy co-topologies and fuzzy limit structures.
http://ijfs.usb.ac.ir/article_316_e3d8093b3eb52427ca38bd04776b8583.pdf
Fuzzy co-topology
Fuzzy ideal
Fuzzy limit structure
Fuzzy remote
neighborhood system
eng
University of Sistan and Baluchestan
Iranian Journal of Fuzzy Systems
1735-0654
1735-0654
2008-02-08
5
1
65
78
10.22111/ijfs.2008.317
317
مقاله پژوهشی
SOME RESULTS OF INTUITIONISTIC FUZZY WEAK DUAL
HYPER K-IDEALS
L. Torkzadeh
ltorkzadeh@yahoo.com
1
M. Abbasi
2
M. M. Zahedi Zahedi
zahedi mm@mail.uk.ac.ir
3
Department Of Mathematics, Islamic Azad University
of Kerman, Kerman, Iran
Department Of Mathematics, Islamic Azad University
of Kerman, Kerman, Iran
Department Of Mathematics, Shahid Bahonar University Of Kerman,
Kerman, Iran
In this note we consider the notion of intuitionistic fuzzy (weak) dual hyper K-ideals and obtain related results. Then we classify this notion according to level sets. After that we determine the relationships between intuitionistic fuzzy (weak) dual hyper K-ideals and intuitionistic fuzzy (weak) hyper K-ideals. Finally, we define the notion of the product of two intuitionistic fuzzy (weak) dual hyper K-ideals and prove several Decomposition Theorems.
http://ijfs.usb.ac.ir/article_317_d5e1b17cf8849cf020dee0e8e092a8ed.pdf
Dual hyper K-ideal
Intuitionistic fuzzy dual hyper K-ideal
eng
University of Sistan and Baluchestan
Iranian Journal of Fuzzy Systems
1735-0654
1735-0654
2008-02-08
5
1
79
97
10.22111/ijfs.2008.318
318
مقاله پژوهشی
GENERALIZATION OF ($epsilon $, $epsilon $ $vee$ q)−FUZZY SUBNEAR-RINGS AND
IDEALS
P. Dheena
dheenap@yahoo.com
1
S. Coumaressane
coumaressane_s@yahoo.com
2
Department of Mathematics, Annamalai University, Annamalainagar-
608002, India
Department of Mathematics, Annamalai University, Annamalainagar-
608002, India
In this paper, we introduce the notion of ($epsilon $, $epsilon $ $vee$ q_{k})− fuzzy subnear-ring which is a generalization of ($epsilon $, $epsilon $ $vee$ q)−fuzzy subnear-ring. We have given examples which are ($epsilon $, $epsilon $ $vee$ q_{k})−fuzzy ideals but they are not ($epsilon $, $epsilon $ $vee$ q)−fuzzy ideals. We have also introduced the notions of ($epsilon $, $epsilon $ $vee$ q_{k})−fuzzyquasi-ideals and ($epsilon $, $epsilon $ $vee$ q_{k})−fuzzy bi-ideals of near-ring. We have characterized($epsilon $, $epsilon $ $vee$ q_{k})−fuzzy quasi-ideals and ($epsilon $, $epsilon $ $vee$ q_{k})−fuzzy bi-ideals of nearrings.
http://ijfs.usb.ac.ir/article_318_b1c8298fc1fdcba2269072e05efde125.pdf
Near ring
Fuzzy subnear-ring
Fuzzy ideal
Fuzzy quasi-ideal
Fuzzy bi-ideal ($epsilon $
$epsilon $ $vee$ q)−fuzzy subnear-ring
($epsilon $
$epsilon $ $vee$ q)−fuzzy ideal
($epsilon $
$epsilon $ $vee$ q)−fuzzy quasi-ideal
($epsilon $
$epsilon $ $vee$ q)−fuzzy bi-ideal
($epsilon $
$epsilon $ $vee$ q_{k})−fuzzy subnear-ring
($epsilon $
$epsilon $ $vee$ q_{k})− fuzzy ideal
($epsilon $
$epsilon $ $vee$ q_{k})− fuzzy quasi-ideal
($epsilon $
$epsilon $ $vee$ q_{k})− fuzzy bi-ideal
eng
University of Sistan and Baluchestan
Iranian Journal of Fuzzy Systems
1735-0654
1735-0654
2008-02-29
5
1
101
106
10.22111/ijfs.2008.2906
2906
Persian-translation Vol.5 No.1, February 2008
http://ijfs.usb.ac.ir/article_2906_bce9f7073e7d8c924a02b83b217cc0f2.pdf