eng
University of Sistan and Baluchestan
Iranian Journal of Fuzzy Systems
1735-0654
1735-0654
2010-03-02
7
1
0
10.22111/ijfs.2010.2882
2882
Cover Vol.7, No.1, February 2010
http://ijfs.usb.ac.ir/article_2882_805c73a895fae89f104edbd1129a9be3.pdf
eng
University of Sistan and Baluchestan
Iranian Journal of Fuzzy Systems
1735-0654
1735-0654
2010-02-04
7
1
1
14
10.22111/ijfs.2010.157
157
مقاله پژوهشی
AN INTELLIGENT INFORMATION SYSTEM FOR FUZZY ADDITIVE MODELLING
(HYDROLOGICAL RISK APPLICATION)
L Iliadis
liliadis@fmenr.duth.gr
1
S Spartalis
sspart@pme.duth.gr
2
Department of Forestry, Management of the Environment & Natural
Resources, Democritus University of Thrace, 193 Padazidou st., 68200, N. Orestiada,
Greece
Department of Production Engineering & Management, School of Engineering,
Democritus University of Thrace, University Library Building, 67100Xanthi,
Greece
In this paper we propose and construct Fuzzy Algebraic Additive Model, for the estimation of risk in various fields of human activities or nature’s behavior. Though the proposed model is useful in a wide range of scientific fields, it was designed for to torrential risk evaluation in the area of river Evros. Clearly the model’s performance improves when the number of parameters and the actual data increases. A Fuzzy Decision Support System was designed and implemented to incorporate the model’s risk estimation capacity and the risk estimation output of the system was compared with the output of other existing methods with very interesting results.
http://ijfs.usb.ac.ir/article_157_4505a193f72c5619791b6d85f1248951.pdf
Fuzzy additive models
fuzzy algebra
Decision support system
Torrential risk
eng
University of Sistan and Baluchestan
Iranian Journal of Fuzzy Systems
1735-0654
1735-0654
2010-02-05
7
1
15
31
10.22111/ijfs.2010.158
158
مقاله پژوهشی
SUBCLASS FUZZY-SVM CLASSIFIER AS AN EFFICIENT
METHOD TO ENHANCE THE MASS DETECTION IN
MAMMOGRAMS
Fatemeh Moayedi
moayyedi,boostani,kazemi,katebi@cse.shirazu.ac.ir
1
Ebrahim Dashti
sayed.dashti@jia.ac.ir
2
Reza Boostani, Ali Reza Kazemi and Serajodin Katebi, Vision and
Image Processing Laboratory, School of Electrical and Computer Engineering, Shiraz
University, Shiraz, Iran
Board of Science, Azad Universitiy Branch of Jahrom, Iran
This paper is concerned with the development of a novel classifier
for automatic mass detection of mammograms, based on contourlet feature
extraction in conjunction with statistical and fuzzy classifiers. In this method,
mammograms are segmented into regions of interest (ROI) in order to extract
features including geometrical and contourlet coefficients. The extracted features
benefit from the superiority of the contourlet method to the state of the
art multi-scale techniques. A genetic algorithm is applied for feature weighting
with the objective of increasing classification accuracy. Although fuzzy classifiers
are interpretable, the majority are order sensitive and suffer from the
lack of generalization. In this study, a kernel SVM is integrated with a nerofuzzy
rule-based classifier to form a support vector based fuzzy neural network
( SVFNN). This classifier benefits from the superior classification power of
SVM in high dimensional data spaces and also from the efficient human-like
reasoning of fuzzy and neural networks in handling uncertainty information.
We use the Mammographic Image Analysis Society (MIAS) standard data
set and the features extracted of the digital mammograms are applied to the
fuzzy-SVM classifiers to assess the performance. Our experiments resulted in
95.6%,91.52%,89.02%, 85.31% classification accuracy for the subclass FSVM,
SVFNN, fuzzy rule based and kernel SVM classifiers respectively and we conclude
that the subclass fuzzy-SVM is superior to the other classifiers.
http://ijfs.usb.ac.ir/article_158_da31701004c02b62a0d1ce107e8ebbb2.pdf
Mammography
Support vector based fuzzy neural network
Fuzzy
support vector machine
Contourlet
eng
University of Sistan and Baluchestan
Iranian Journal of Fuzzy Systems
1735-0654
1735-0654
2010-02-05
7
1
33
45
10.22111/ijfs.2010.159
159
مقاله پژوهشی
THE URYSOHN AXIOM AND THE COMPLETELY HAUSDORFF
AXIOM IN L-TOPOLOGICAL SPACES
Fu-Gui Shi
fuguishi@bit.edu.cn or f.g.shi@263.net
1
Peng Chen
chenpengbeijing@sina.com
2
Department of Mathematics, School of Science, Beijing Institute of Technology, Beijing, 100081, P. R. China
Department of Mathematics, School of Science, Beijing Institute of Technology, Beijing, 100081, P. R. China
In this paper, the Urysohn and completely Hausdorff axioms in general topology are generalized to L-topological spaces so as to be compatible with pointwise metrics. Some properties and characterizations are also derived
http://ijfs.usb.ac.ir/article_159_a392d427a40e4380b76776825363be68.pdf
eng
University of Sistan and Baluchestan
Iranian Journal of Fuzzy Systems
1735-0654
1735-0654
2010-02-04
7
1
58
47
10.22111/ijfs.2010.160
160
CHARACTERIZATION OF L-FUZZIFYING MATROIDS BY
L-FUZZIFYING CLOSURE OPERATORS
Lan Wang
wanglantongtong@126.com or wanglan@bit.edu.cn
1
Fu-Gui Shi
fuguishi@bit.edu.cn or f.g.shi@263.net
2
Department of Mathematics, Beijing Institute of Technology, Beijing 100081, P.R.China; Department of Mathematics, Mudanjiang Teachers college, Heilongjiang 157012, P.R.China
Department of Mathematics, Beijing Institute of Technology, Beijing, 100081, P. R. China
An L-fuzzifying matroid is a pair (E, I), where I is a map from2E to L satisfying three axioms. In this paper, the notion of closure operatorsin matroid theory is generalized to an L-fuzzy setting and called L-fuzzifyingclosure operators. It is proved that there exists a one-to-one correspondencebetween L-fuzzifying matroids and their L-fuzzifying closure operators.
http://ijfs.usb.ac.ir/article_160_b9a40ba3ae101fd311f2d462be3c2c23.pdf
L-fuzzifying matroid
L-fuzzifying rank function
L-fuzzifying closure
operator
eng
University of Sistan and Baluchestan
Iranian Journal of Fuzzy Systems
1735-0654
1735-0654
2010-02-04
7
1
59
64
10.22111/ijfs.2010.161
161
مقاله پژوهشی
FUZZY QUASI-METRIC VERSIONS OF A THEOREM OF
GREGORI AND SAPENA
Dorel Mihet
mihet@math.uvt.ro
1
Department of Mathematics, West University of Timisoara, Bv. V. Parvan 4, Timisoara, Romania
We provide fuzzy quasi-metric versions of a fixed point theorem ofGregori and Sapena for fuzzy contractive mappings in G-complete fuzzy metricspaces and apply the results to obtain fixed points for contractive mappingsin the domain of words.
http://ijfs.usb.ac.ir/article_161_614217821ae8b59f4fcebbf4ac3ae84e.pdf
Fuzzy metric space
Non-archimedean fuzzy quasi-metric
Gbicomplete
Domain of words
eng
University of Sistan and Baluchestan
Iranian Journal of Fuzzy Systems
1735-0654
1735-0654
2010-02-04
7
1
65
79
10.22111/ijfs.2010.162
162
مقاله پژوهشی
BI-MATRIX GAMES WITH INTUITIONISTIC FUZZY GOALS
Prasun Kumar Nayak
nayak prasun@rediffmail.com
1
Madhumangal Pal
mmpalvu@gmail.com
2
Department of Mathematics, Bankura Christian College, P.O.+ Dist- Bankura, West Bengal,722101, India
Department of Applied Mathematics with Oceanology and Computer Programming, Vidyasagar University, Midnapore-721 102, India
In this paper, we present an application of intuitionistic fuzzyprogramming to a two person bi-matrix game (pair of payoffs matrices) for thesolution with mixed strategies using linear membership and non-membershipfunctions. We also introduce the intuitionistic fuzzy(IF) goal for a choiceof a strategy in a payoff matrix in order to incorporate ambiguity of humanjudgements; a player wants to maximize his/her degree of attainment of the IFgoal. It is shown that this solution is the optimal solution of a mathematicalprogramming problem. Finally, we present a numerical example to illustratethe methodology.
http://ijfs.usb.ac.ir/article_162_2cfcb7b16ba7eb37bf63f20ae72666b8.pdf
Bi-matrix game
Nash equilibrium
Intuitionistic fuzzy sets
Fuzzy
optimization
Intuitionistic fuzzy optimization
eng
University of Sistan and Baluchestan
Iranian Journal of Fuzzy Systems
1735-0654
1735-0654
2010-02-04
7
1
81
89
10.22111/ijfs.2010.163
163
مقاله پژوهشی
CATEGORICAL RELATIONS AMONG MATROIDS, FUZZY
MATROIDS AND FUZZIFYING MATROIDS
Ling-Xia Lu
lulingxia1214@gmail.com
1
Wei-Wei Zheng
zww@nwpu.edu.cn
2
School of Mathematics and Science, Shijiazhuang University of Technology, Shijiazhuang 050031, P.R. China
School of Science, Xi’an Polytechnic University, Xi’an 710048, P.R. China
The aim of this paper is to study the categorical relations betweenmatroids, Goetschel-Voxman’s fuzzy matroids and Shi’s fuzzifying matroids.It is shown that the category of fuzzifying matroids is isomorphic to that ofclosed fuzzy matroids and the latter is concretely coreflective in the categoryof fuzzy matroids. The category of matroids can be embedded in that offuzzifying matroids as a simultaneously concretely reflective and coreflectivesubcategory.
http://ijfs.usb.ac.ir/article_163_26f26b535f5ffeeed74f751fe9378466.pdf
Matroid
Fuzzy matroid
Closed fuzzy matroid
Fuzzifying matroid.
This paper is supported by the national natural science foundation of china(10926055)
eng
University of Sistan and Baluchestan
Iranian Journal of Fuzzy Systems
1735-0654
1735-0654
2010-02-04
7
1
91
96
10.22111/ijfs.2010.165
165
مقاله پژوهشی
SOME FIXED POINT THEOREMS FOR SINGLE AND MULTI
VALUED MAPPINGS ON ORDERED NON-ARCHIMEDEAN
FUZZY METRIC SPACES
Ishak Altun
ialtun@kku.edu.tr, ishakaltun@yahoo.com
1
Department of Mathematics, Faculty of Science and Arts, Kirikkale University, 71450 Yahsihan, Kirikkale , Turkey
In the present paper, a partial order on a non- Archimedean fuzzymetric space under the Lukasiewicz t-norm is introduced and fixed point theoremsfor single and multivalued mappings are proved.
http://ijfs.usb.ac.ir/article_165_dedba155defd976c6a33406b81aa9208.pdf
Fixed point
Partial order
Fuzzy metric space
eng
University of Sistan and Baluchestan
Iranian Journal of Fuzzy Systems
1735-0654
1735-0654
2010-03-02
7
1
99
106
10.22111/ijfs.2010.2883
2883
Persian-translation Vol.7, No.1, February 2010
http://ijfs.usb.ac.ir/article_2883_7ccdb12e0be3e8f2b2dbcd7ece66e8e3.pdf