2017-11-21T20:43:06Z
http://ijfs.usb.ac.ir/?_action=export&rf=summon&issue=287
Iranian Journal of Fuzzy Systems
IJFS
1735-0654
1735-0654
2014
11
6
Cover vol. 11, no. 6, December 2014
2014
12
30
0
http://ijfs.usb.ac.ir/article_2669_8784e6c60392b06dcfb588e417506222.pdf
Iranian Journal of Fuzzy Systems
IJFS
1735-0654
1735-0654
2014
11
6
Categories of fuzzy topology in the context of graded ditopologies on textures
Alexander
Sostak
Lawrence M.
Brown
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
2014
12
30
1
20
http://ijfs.usb.ac.ir/article_1744_6799dcc90c9c5f8a7a6c9fcb6a50856b.pdf
Iranian Journal of Fuzzy Systems
IJFS
1735-0654
1735-0654
2014
11
6
A Self-organized Multi Agent Decision Making System Based on Fuzzy Probabilities: The Case of Aphasia Diagnosis
F.
Tatari
M. R.
Akbarzadeh T
M.
Mazouchi
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
2014
12
30
21
46
http://ijfs.usb.ac.ir/article_1745_035e6ba64157d96537d321ae8ed44898.pdf
Iranian Journal of Fuzzy Systems
IJFS
1735-0654
1735-0654
2014
11
6
Robust Potato Color Image Segmentation using Adaptive Fuzzy Inference System
P.
Moallem
N.
Razmjooy
B. S.
Mousavi
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
2014
12
30
47
65
http://ijfs.usb.ac.ir/article_1748_60718b2b831f2eb7587b7b94fc6b250b.pdf
Iranian Journal of Fuzzy Systems
IJFS
1735-0654
1735-0654
2014
11
6
Krasner $F^{(m, n)}$-Hyperrings
B.
Davvaz
M.
Farshi
$!!!!$ 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
2014
12
30
67
88
http://ijfs.usb.ac.ir/article_1749_0c2c383b515252fb3d9e98a52b484472.pdf
Iranian Journal of Fuzzy Systems
IJFS
1735-0654
1735-0654
2014
11
6
Fuzzy order congruences on fuzzy posets
Jing
Hao
Qingguo
Li
Lankun
Guo
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
2014
12
30
89
109
http://ijfs.usb.ac.ir/article_1750_7c3d36fc2c07242ed59fdace177ea9a8.pdf
Iranian Journal of Fuzzy Systems
IJFS
1735-0654
1735-0654
2014
11
6
Some Characterizations of Hopf Group on Fuzzy Topological Spaces
S.
Demiralp
E.
Guner
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
2014
12
30
111
121
http://ijfs.usb.ac.ir/article_1751_62a221a05a97d374823cf9bddca2afcd.pdf
Iranian Journal of Fuzzy Systems
IJFS
1735-0654
1735-0654
2014
11
6
On Fixed Point Theorems for Contractive-type Mappings in Fuzzy Metric Spaces
D.
Qiu
C.
Lu
W.
Zhang
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
2014
12
30
123
130
http://ijfs.usb.ac.ir/article_1752_b359aa16d715df4332e91e9a576d5135.pdf
Iranian Journal of Fuzzy Systems
IJFS
1735-0654
1735-0654
2014
11
6
Persian-translation vol. 11, no. 6, December 2014
2014
12
30
133
139
http://ijfs.usb.ac.ir/article_2670_2a989bb30c102e3809959c2b27a266b9.pdf