University of Sistan and Baluchestan
Iranian Journal of Fuzzy Systems
1735-0654
11
6
2014
12
30
Cover vol. 11, no. 6, December 2014
0
EN
10.22111/ijfs.2014.2669
http://ijfs.usb.ac.ir/article_2669.html
http://ijfs.usb.ac.ir/article_2669_8784e6c60392b06dcfb588e417506222.pdf
University of Sistan and Baluchestan
Iranian Journal of Fuzzy Systems
1735-0654
11
6
2014
12
30
Categories of fuzzy topology in the context of graded ditopologies on textures
1
20
EN
Alexander
Sostak
Department of Mathematics, and Institute of Mathematics &
CS, University of Latvia, Riga, Latvia
Lawrence M.
Brown
Hacettepe University, Ankara, Turkey
lawrencemichaelbrown@gmail.com
10.22111/ijfs.2014.1744
This paper extends the notion of ditopology to the case where openness and closedness are given in terms of {em a priori} unrelated Drading functions. The resulting notion of graded ditopology is considered both in the setting of lattices and in that textures, the relation between the two approaches being discussed in detail. Interrelations between graded ditopologies and ditopologies on textures are also studied.
Complete lattice,Completely distributive lattice,Fuzzy topology,Graded ditopology,Texture,Difunction,Ditopology,Category
http://ijfs.usb.ac.ir/article_1744.html
http://ijfs.usb.ac.ir/article_1744_6799dcc90c9c5f8a7a6c9fcb6a50856b.pdf
University of Sistan and Baluchestan
Iranian Journal of Fuzzy Systems
1735-0654
11
6
2014
12
30
A Self-organized Multi Agent Decision Making System Based on Fuzzy Probabilities: The Case of Aphasia Diagnosis
21
46
EN
F.
Tatari
Electrical Engineering Department, Ferdowsi University of Mashhad,
Mashhad, Iran
fa_tatari@yahoo.com
M. R.
Akbarzadeh T
Electrical Engineering Department, Ferdowsi University of
Mashhad, Mashhad, Iran
akbarzadeh@ieee.org
M.
Mazouchi
Electrical Engineering Department, Ferdowsi University of Mashhad,
Mashhad, Iran
majid mazouchi@yahoo.com
10.22111/ijfs.2014.1745
Aphasia diagnosis is a challenging medical diagnostic task due to the linguistic uncertainty and vagueness, large number of measurements with imprecision, inconsistencies in the definition of Aphasic syndromes, natural diversity and subjectivity in test objects as well as in options of experts who diagnose the disease. In this paper we present a new self-organized multi agent system that diagnoses different types of Aphasia based on fuzzy probabilities. In the proposed multi agent system, the characteristic of self organization is employed as both a decision making feature selection paradigm as well as a mechanism to estimate the probability mass functions of Aphasia factors. The estimated probability mass functions are involved in fuzzy probability calculation of different types of Aphasia. The performance and robustness of the proposed method is compared with several earlier approaches. While the proposed method requires more of the available test parameters, the comparison clearly shows the superiority of the proposed method in terms of accuracy as well as robustness.
Aphasia,Decision making,Fuzzy probabilities,Self-organized multi-agent systems,Uncertainty
http://ijfs.usb.ac.ir/article_1745.html
http://ijfs.usb.ac.ir/article_1745_035e6ba64157d96537d321ae8ed44898.pdf
University of Sistan and Baluchestan
Iranian Journal of Fuzzy Systems
1735-0654
11
6
2014
12
30
Robust Potato Color Image Segmentation using Adaptive Fuzzy Inference System
47
65
EN
P.
Moallem
Electrical Engineering Department, University of Isfahan, Isfahan,
Iran
p_moallem@eng.ui.ac.ir
N.
Razmjooy
Young Researchers and Elite Club, Majlesi branch, Islamic Azad Uni-
versity, Isfahan, Iran
navid.razmjooy@hotmail.com
B. S.
Mousavi
Electrical Engineering Department, Hatef Higher Education Insti-
tute, Zahedan, Iran
bbmoosavi@gmail.com
10.22111/ijfs.2014.1748
Potato image segmentation is an important part of image-based potato defect detection. This paper presents a robust potato color image segmentation through a combination of a fuzzy rule based system, an image thresholding based on Genetic Algorithm (GA) optimization and morphological operators. The proposed potato color image segmentation is robust against variation of background, distance and view of potato from digital camera. In the proposed algorithm, after selecting appropriate color space, distance between an image pixel and real potato pixels is computed. Furthermore, this distance feeds to a fuzzy rule-based classifier to extract potato candidate in the input image. A subtractive clustering algorithm is also used to decide on the number of rules and membership functions of the fuzzy system. To improve the performance of the fuzzy rule-based classifier, the membership functions shapes are also optimized by the GA. To segment potatoes in the input color image, an image thresholding is applied to the output of the fuzzy system, where the corresponding threshold is optimized by the GA. To improve the segmentation results, a sequence of some morphological operators are also applied to the output of thresholding stage. The proposed algorithm is applied to different databases with different backgrounds, including USDA, CFIA, and obtained potato images database from Ardabil (Iran's northwest), separately. The correct segmentation rate of the proposed algorithm is approximately 98% over totally more than 500 potato images. Finally, the results of the proposed segmentation algorithm are evaluated for some images taken from real environments of potato industries and farms.
Potato image segmentation,Color-space,Fuzzy rule-based inference system,Genetic-based thresholding,Morphology
http://ijfs.usb.ac.ir/article_1748.html
http://ijfs.usb.ac.ir/article_1748_60718b2b831f2eb7587b7b94fc6b250b.pdf
University of Sistan and Baluchestan
Iranian Journal of Fuzzy Systems
1735-0654
11
6
2014
12
30
Krasner $F^{(m, n)}$-Hyperrings
67
88
EN
B.
Davvaz
Department of Mathematics, Yazd University, Yazd, Iran
davvaz@yazd.ac.ir
M.
Farshi
Department of Mathematics, Yazd University, Yazd, Iran
m.farshi@yahoo.com
10.22111/ijfs.2014.1749
$!!!!$ In this paper, the notion of fuzzy $!$ Krasner $!(m, n)$-hyperrings($!F^{(m, n)}!$-hyperrings) by using the notion of$F^m$-hyperoperations and $F^n$-operations is introduced and somerelated properties are investigated. In this regards,relationships between Krasner $F^{(m, n)}$-hyperrings and Krasner$(m, n)$-hyperrings are considered. We shall prove that everyKrasner $F^{(m, n)}$-hyperring is extended by a Krasner $F^{(2,n)}$-hyperring. The concepts of normal $F$-hyperideals andhomomorphisms of Krasner $F^{(m, n)}$-hyperrings are adopted.Also, the quotient of Krasner $F^{(m, n)}$-hyperrings by definingregular relations are studied. Finally, the classical isomorphismtheorems of groups are generalized to Krasner $F^{(m,n)}$-hyperrings provided the $F$-hyperideals considered in themare normal.
Hyperstructure,Hyperoperation,$F^m$-hyperoperation,Krasner $(m,n)$-hyperring,Krasner $F^{(m,n)}$-hyperring,$F$-hyperideal,Regular and
strongly regular relation
http://ijfs.usb.ac.ir/article_1749.html
http://ijfs.usb.ac.ir/article_1749_0c2c383b515252fb3d9e98a52b484472.pdf
University of Sistan and Baluchestan
Iranian Journal of Fuzzy Systems
1735-0654
11
6
2014
12
30
Fuzzy order congruences on fuzzy posets
89
109
EN
Jing
Hao
College of Mathematics and Information Science, Henan University of
Economics and Law, Zhengzhou, 450000, China
haojingzy@gmail.com
Qingguo
Li
College of Mathematics and Econometrics, Hunan University, Chang-
sha, 410082, China
liqingguoli@aliyun.com
Lankun
Guo
College of Information Science and Engineering, Hunan University,
Changsha, 410082, China
lankun.guo@gmail.com
10.22111/ijfs.2014.1750
Fuzzy order congruences play an important role in studying the categoricalproperties of fuzzy posets. In this paper, the correspondence between the fuzzyorder congruences and the fuzzy order-preserving maps is discussed. We focus onthe characterization of fuzzy order congruences on the fuzzy poset in terms ofthe fuzzy preorders containing the fuzzy partial order. At last, fuzzy completecongruences on fuzzy complete lattices are discussed.
Fuzzy poset,Fuzzy
relation,Fuzzy order congruence,Fuzzy preorder,Fuzzy complete congruence
http://ijfs.usb.ac.ir/article_1750.html
http://ijfs.usb.ac.ir/article_1750_7c3d36fc2c07242ed59fdace177ea9a8.pdf
University of Sistan and Baluchestan
Iranian Journal of Fuzzy Systems
1735-0654
11
6
2014
12
30
Some Characterizations of Hopf Group on Fuzzy Topological Spaces
111
121
EN
S.
Demiralp
Department of Mathematics, Faculty of Sciences and Literatures,
Kastamonu University, 37110, Kastamonu, Turkey
sdemiralp@kastamonu.edu.tr
E.
Guner
Department of Mathematics, Faculty of Sciences, Ankara University,
06100, Ankara, Turkey
guner@science.ankara.edu.tr
10.22111/ijfs.2014.1751
In this paper, some fundamental concepts are given relating to fuzzytopological spaces. Then it is shown that there is a contravariant functorfrom the category of the pointed fuzzy topological spaces to the category ofgroups and homomorphisms. Also the fuzzy topological spaces which are Hopfspaces are investigated and it is shown that a pointed fuzzy toplogicalspace having the same homotopy type as an Hopf group is itself an Hopf group.
Fuzzy homotopy,Fuzzy pointed topological space,Fuzzy set,Hopf group,Hopf space
http://ijfs.usb.ac.ir/article_1751.html
http://ijfs.usb.ac.ir/article_1751_62a221a05a97d374823cf9bddca2afcd.pdf
University of Sistan and Baluchestan
Iranian Journal of Fuzzy Systems
1735-0654
11
6
2014
12
30
On Fixed Point Theorems for Contractive-type Mappings in Fuzzy Metric Spaces
123
130
EN
D.
Qiu
College of Mathematics and Physics, Chongqing University of Posts and
Telecommunications, Nanan, Chongqing, 400065, P. R. China
dongqiumath@163.com
C.
Lu
College of Mathematics and Physics, Chongqing University of Posts and
Telecommunications, Nanan, Chongqing, 400065, P. R. China
lcx19882012@163.com
W.
Zhang
College of Mathematics and Physics, Chongqing University of Posts and
Telecommunications, Nanan, Chongqing, 400065, P. R. China
zhangwei@cqupt.edu.cn
10.22111/ijfs.2014.1752
In this paper, we provide two different kinds of fixed pointtheorems in fuzzy metric spaces. The first kind is for the fuzzy$varepsilon$-contractive type mappings and the second kind is forthe fuzzy order $psi$-contractive type mappings. They improve thecorresponding conclusions in the literature.
Contractive type mappings,Fixed point theorems,Fuzzy metric spaces
http://ijfs.usb.ac.ir/article_1752.html
http://ijfs.usb.ac.ir/article_1752_b359aa16d715df4332e91e9a576d5135.pdf
University of Sistan and Baluchestan
Iranian Journal of Fuzzy Systems
1735-0654
11
6
2014
12
30
Persian-translation vol. 11, no. 6, December 2014
133
139
EN
10.22111/ijfs.2014.2670
http://ijfs.usb.ac.ir/article_2670.html
http://ijfs.usb.ac.ir/article_2670_2a989bb30c102e3809959c2b27a266b9.pdf