Cover vol. 11, no. 6, December 2014
text
article
2014
eng
Iranian Journal of Fuzzy Systems
University of Sistan and Baluchestan
1735-0654
11
v.
6
no.
2014
0
http://ijfs.usb.ac.ir/article_2669_8784e6c60392b06dcfb588e417506222.pdf
dx.doi.org/10.22111/ijfs.2014.2669
Categories of fuzzy topology in the context of graded ditopologies on textures
Alexander
Sostak
Department of Mathematics, and Institute of Mathematics &
CS, University of Latvia, Riga, Latvia
author
Lawrence M.
Brown
Hacettepe University, Ankara, Turkey
author
text
article
2014
eng
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.
Iranian Journal of Fuzzy Systems
University of Sistan and Baluchestan
1735-0654
11
v.
6
no.
2014
1
20
http://ijfs.usb.ac.ir/article_1744_6799dcc90c9c5f8a7a6c9fcb6a50856b.pdf
dx.doi.org/10.22111/ijfs.2014.1744
A Self-organized Multi Agent Decision Making System Based on Fuzzy Probabilities: The Case of Aphasia Diagnosis
F.
Tatari
Electrical Engineering Department, Ferdowsi University of Mashhad,
Mashhad, Iran
author
M. R.
Akbarzadeh T
Electrical Engineering Department, Ferdowsi University of
Mashhad, Mashhad, Iran
author
M.
Mazouchi
Electrical Engineering Department, Ferdowsi University of Mashhad,
Mashhad, Iran
author
text
article
2014
eng
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.
Iranian Journal of Fuzzy Systems
University of Sistan and Baluchestan
1735-0654
11
v.
6
no.
2014
21
46
http://ijfs.usb.ac.ir/article_1745_035e6ba64157d96537d321ae8ed44898.pdf
dx.doi.org/10.22111/ijfs.2014.1745
Robust Potato Color Image Segmentation using Adaptive Fuzzy Inference System
P.
Moallem
Electrical Engineering Department, University of Isfahan, Isfahan,
Iran
author
N.
Razmjooy
Young Researchers and Elite Club, Majlesi branch, Islamic Azad Uni-
versity, Isfahan, Iran
author
B. S.
Mousavi
Electrical Engineering Department, Hatef Higher Education Insti-
tute, Zahedan, Iran
author
text
article
2014
eng
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.
Iranian Journal of Fuzzy Systems
University of Sistan and Baluchestan
1735-0654
11
v.
6
no.
2014
47
65
http://ijfs.usb.ac.ir/article_1748_60718b2b831f2eb7587b7b94fc6b250b.pdf
dx.doi.org/10.22111/ijfs.2014.1748
Krasner $F^{(m, n)}$-Hyperrings
B.
Davvaz
Department of Mathematics, Yazd University, Yazd, Iran
author
M.
Farshi
Department of Mathematics, Yazd University, Yazd, Iran
author
text
article
2014
eng
$\!\!\!\!$ 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.
Iranian Journal of Fuzzy Systems
University of Sistan and Baluchestan
1735-0654
11
v.
6
no.
2014
67
88
http://ijfs.usb.ac.ir/article_1749_0c2c383b515252fb3d9e98a52b484472.pdf
dx.doi.org/10.22111/ijfs.2014.1749
Fuzzy order congruences on fuzzy posets
Jing
Hao
College of Mathematics and Information Science, Henan University of
Economics and Law, Zhengzhou, 450000, China
author
Qingguo
Li
College of Mathematics and Econometrics, Hunan University, Chang-
sha, 410082, China
author
Lankun
Guo
College of Information Science and Engineering, Hunan University,
Changsha, 410082, China
author
text
article
2014
eng
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.
Iranian Journal of Fuzzy Systems
University of Sistan and Baluchestan
1735-0654
11
v.
6
no.
2014
89
109
http://ijfs.usb.ac.ir/article_1750_7c3d36fc2c07242ed59fdace177ea9a8.pdf
dx.doi.org/10.22111/ijfs.2014.1750
Some Characterizations of Hopf Group on Fuzzy Topological Spaces
S.
Demiralp
Department of Mathematics, Faculty of Sciences and Literatures,
Kastamonu University, 37110, Kastamonu, Turkey
author
E.
Guner
Department of Mathematics, Faculty of Sciences, Ankara University,
06100, Ankara, Turkey
author
text
article
2014
eng
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.
Iranian Journal of Fuzzy Systems
University of Sistan and Baluchestan
1735-0654
11
v.
6
no.
2014
111
121
http://ijfs.usb.ac.ir/article_1751_62a221a05a97d374823cf9bddca2afcd.pdf
dx.doi.org/10.22111/ijfs.2014.1751
On Fixed Point Theorems for Contractive-type Mappings in Fuzzy Metric Spaces
D.
Qiu
College of Mathematics and Physics, Chongqing University of Posts and
Telecommunications, Nanan, Chongqing, 400065, P. R. China
author
C.
Lu
College of Mathematics and Physics, Chongqing University of Posts and
Telecommunications, Nanan, Chongqing, 400065, P. R. China
author
W.
Zhang
College of Mathematics and Physics, Chongqing University of Posts and
Telecommunications, Nanan, Chongqing, 400065, P. R. China
author
text
article
2014
eng
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.
Iranian Journal of Fuzzy Systems
University of Sistan and Baluchestan
1735-0654
11
v.
6
no.
2014
123
130
http://ijfs.usb.ac.ir/article_1752_b359aa16d715df4332e91e9a576d5135.pdf
dx.doi.org/10.22111/ijfs.2014.1752
Persian-translation vol. 11, no. 6, December 2014
text
article
2014
eng
Iranian Journal of Fuzzy Systems
University of Sistan and Baluchestan
1735-0654
11
v.
6
no.
2014
133
139
http://ijfs.usb.ac.ir/article_2670_2a989bb30c102e3809959c2b27a266b9.pdf
dx.doi.org/10.22111/ijfs.2014.2670