eng
University of Sistan and Baluchestan
Iranian Journal of Fuzzy Systems
1735-0654
1735-0654
2014-12-30
11
6
0
10.22111/ijfs.2014.2669
2669
Cover vol. 11, no. 6, December 2014
http://ijfs.usb.ac.ir/article_2669_8784e6c60392b06dcfb588e417506222.pdf
eng
University of Sistan and Baluchestan
Iranian Journal of Fuzzy Systems
1735-0654
1735-0654
2014-12-30
11
6
1
20
10.22111/ijfs.2014.1744
1744
مقاله پژوهشی
Categories of fuzzy topology in the context of graded ditopologies on textures
Alexander Sostak
1
Lawrence M. Brown
lawrencemichaelbrown@gmail.com
2
Department of Mathematics, and Institute of Mathematics & CS, University of Latvia, Riga, Latvia
Hacettepe University, Ankara, Turkey
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.
http://ijfs.usb.ac.ir/article_1744_6799dcc90c9c5f8a7a6c9fcb6a50856b.pdf
Complete lattice
Completely distributive lattice
Fuzzy topology
Graded ditopology
Texture
Difunction
Ditopology
Category
eng
University of Sistan and Baluchestan
Iranian Journal of Fuzzy Systems
1735-0654
1735-0654
2014-12-30
11
6
21
46
10.22111/ijfs.2014.1745
1745
مقاله پژوهشی
A Self-organized Multi Agent Decision Making System Based on Fuzzy Probabilities: The Case of Aphasia Diagnosis
F. Tatari
fa_tatari@yahoo.com
1
M. R. Akbarzadeh T
akbarzadeh@ieee.org
2
M. Mazouchi
majid mazouchi@yahoo.com
3
Electrical Engineering Department, Ferdowsi University of Mashhad, Mashhad, Iran
Electrical Engineering Department, Ferdowsi University of Mashhad, Mashhad, Iran
Electrical Engineering Department, Ferdowsi University of Mashhad, Mashhad, Iran
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.
http://ijfs.usb.ac.ir/article_1745_035e6ba64157d96537d321ae8ed44898.pdf
Aphasia
decision making
Fuzzy probabilities
Self-organized multi-agent systems
Uncertainty
eng
University of Sistan and Baluchestan
Iranian Journal of Fuzzy Systems
1735-0654
1735-0654
2014-12-30
11
6
47
65
10.22111/ijfs.2014.1748
1748
مقاله پژوهشی
Robust Potato Color Image Segmentation using Adaptive Fuzzy Inference System
P. Moallem
p_moallem@eng.ui.ac.ir
1
N. Razmjooy
navid.razmjooy@hotmail.com
2
B. S. Mousavi
bbmoosavi@gmail.com
3
Electrical Engineering Department, University of Isfahan, Isfahan, Iran
Young Researchers and Elite Club, Majlesi branch, Islamic Azad Uni- versity, Isfahan, Iran
Electrical Engineering Department, Hatef Higher Education Insti- tute, Zahedan, Iran
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.
http://ijfs.usb.ac.ir/article_1748_60718b2b831f2eb7587b7b94fc6b250b.pdf
Potato image segmentation
Color-space
Fuzzy rule-based inference system
Genetic-based thresholding
Morphology
eng
University of Sistan and Baluchestan
Iranian Journal of Fuzzy Systems
1735-0654
1735-0654
2014-12-30
11
6
67
88
10.22111/ijfs.2014.1749
1749
مقاله پژوهشی
Krasner $F^{(m, n)}$-Hyperrings
B. Davvaz
davvaz@yazd.ac.ir
1
M. Farshi
m.farshi@yahoo.com
2
Department of Mathematics, Yazd University, Yazd, Iran
Department of Mathematics, Yazd University, Yazd, Iran
$!!!!$ 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.
http://ijfs.usb.ac.ir/article_1749_0c2c383b515252fb3d9e98a52b484472.pdf
Hyperstructure
Hyperoperation
$F^m$-hyperoperation
Krasner $(m
n)$-hyperring
Krasner $F^{(m
n)}$-hyperring
$F$-hyperideal
Regular and
strongly regular relation
eng
University of Sistan and Baluchestan
Iranian Journal of Fuzzy Systems
1735-0654
1735-0654
2014-12-30
11
6
89
109
10.22111/ijfs.2014.1750
1750
مقاله پژوهشی
Fuzzy order congruences on fuzzy posets
Jing Hao
haojingzy@gmail.com
1
Qingguo Li
liqingguoli@aliyun.com
2
Lankun Guo
lankun.guo@gmail.com
3
College of Mathematics and Information Science, Henan University of Economics and Law, Zhengzhou, 450000, China
College of Mathematics and Econometrics, Hunan University, Chang- sha, 410082, China
College of Information Science and Engineering, Hunan University, Changsha, 410082, China
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.
http://ijfs.usb.ac.ir/article_1750_7c3d36fc2c07242ed59fdace177ea9a8.pdf
Fuzzy poset
Fuzzy
relation
Fuzzy order congruence
Fuzzy preorder
Fuzzy complete congruence
eng
University of Sistan and Baluchestan
Iranian Journal of Fuzzy Systems
1735-0654
1735-0654
2014-12-30
11
6
111
121
10.22111/ijfs.2014.1751
1751
مقاله پژوهشی
Some Characterizations of Hopf Group on Fuzzy Topological Spaces
S. Demiralp
sdemiralp@kastamonu.edu.tr
1
E. Guner
guner@science.ankara.edu.tr
2
Department of Mathematics, Faculty of Sciences and Literatures, Kastamonu University, 37110, Kastamonu, Turkey
Department of Mathematics, Faculty of Sciences, Ankara University, 06100, Ankara, Turkey
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.
http://ijfs.usb.ac.ir/article_1751_62a221a05a97d374823cf9bddca2afcd.pdf
Fuzzy homotopy
Fuzzy pointed topological space
Fuzzy set
Hopf group
Hopf space
eng
University of Sistan and Baluchestan
Iranian Journal of Fuzzy Systems
1735-0654
1735-0654
2014-12-30
11
6
123
130
10.22111/ijfs.2014.1752
1752
مقاله پژوهشی
On Fixed Point Theorems for Contractive-type Mappings in Fuzzy Metric Spaces
D. Qiu
dongqiumath@163.com
1
C. Lu
lcx19882012@163.com
2
W. Zhang
zhangwei@cqupt.edu.cn
3
College of Mathematics and Physics, Chongqing University of Posts and Telecommunications, Nanan, Chongqing, 400065, P. R. China
College of Mathematics and Physics, Chongqing University of Posts and Telecommunications, Nanan, Chongqing, 400065, P. R. China
College of Mathematics and Physics, Chongqing University of Posts and Telecommunications, Nanan, Chongqing, 400065, P. R. China
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.
http://ijfs.usb.ac.ir/article_1752_b359aa16d715df4332e91e9a576d5135.pdf
Contractive type mappings
Fixed point theorems
Fuzzy metric spaces
eng
University of Sistan and Baluchestan
Iranian Journal of Fuzzy Systems
1735-0654
1735-0654
2014-12-30
11
6
133
139
10.22111/ijfs.2014.2670
2670
Persian-translation vol. 11, no. 6, December 2014
http://ijfs.usb.ac.ir/article_2670_2a989bb30c102e3809959c2b27a266b9.pdf