University of Sistan and BaluchestanIranian Journal of Fuzzy Systems1735-065411620141230Cover vol. 11, no. 6, December 20140266910.22111/ijfs.2014.2669ENJournal Article20161005http://ijfs.usb.ac.ir/article_2669_8784e6c60392b06dcfb588e417506222.pdfUniversity of Sistan and BaluchestanIranian Journal of Fuzzy Systems1735-065411620141230Categories of fuzzy topology in the context of graded ditopologies on textures120174410.22111/ijfs.2014.1744ENAlexanderSostakDepartment of Mathematics, and Institute of Mathematics &
CS, University of Latvia, Riga, LatviaLawrence M.BrownHacettepe University, Ankara, TurkeyJournal Article20121210This 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.pdfUniversity of Sistan and BaluchestanIranian Journal of Fuzzy Systems1735-065411620141230A Self-organized Multi Agent Decision Making System Based on Fuzzy Probabilities: The Case of Aphasia Diagnosis2146174510.22111/ijfs.2014.1745ENF.TatariElectrical Engineering Department, Ferdowsi University of Mashhad,
Mashhad, IranM. R.Akbarzadeh TElectrical Engineering Department, Ferdowsi University of
Mashhad, Mashhad, IranM.MazouchiElectrical Engineering Department, Ferdowsi University of Mashhad,
Mashhad, IranJournal Article20140410Aphasia 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.pdfUniversity of Sistan and BaluchestanIranian Journal of Fuzzy Systems1735-065411620141230Robust Potato Color Image Segmentation using Adaptive Fuzzy Inference System4765174810.22111/ijfs.2014.1748ENP.MoallemElectrical Engineering Department, University of Isfahan, Isfahan,
IranN.RazmjooyYoung Researchers and Elite Club, Majlesi branch, Islamic Azad Uni-
versity, Isfahan, IranB. S.MousaviElectrical Engineering Department, Hatef Higher Education Insti-
tute, Zahedan, IranJournal Article20130615Potato 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.pdfUniversity of Sistan and BaluchestanIranian Journal of Fuzzy Systems1735-065411620141230Krasner $F^{(m, n)}$-Hyperrings6788174910.22111/ijfs.2014.1749ENB.DavvazDepartment of Mathematics, Yazd University, Yazd, IranM.FarshiDepartment of Mathematics, Yazd University, Yazd, IranJournal Article20121215$!!!!$ In this paper, the notion of fuzzy $!$ Krasner $!(m, n)$-hyperrings<br />($!F^{(m, n)}!$-hyperrings) by using the notion of<br />$F^m$-hyperoperations and $F^n$-operations is introduced and some<br />related properties are investigated. In this regards,<br />relationships between Krasner $F^{(m, n)}$-hyperrings and Krasner<br />$(m, n)$-hyperrings are considered. We shall prove that every<br />Krasner $F^{(m, n)}$-hyperring is extended by a Krasner $F^{(2,<br />n)}$-hyperring. The concepts of normal $F$-hyperideals and<br />homomorphisms of Krasner $F^{(m, n)}$-hyperrings are adopted.<br />Also, the quotient of Krasner $F^{(m, n)}$-hyperrings by defining<br />regular relations are studied. Finally, the classical isomorphism<br />theorems of groups are generalized to Krasner $F^{(m,<br />n)}$-hyperrings provided the $F$-hyperideals considered in them<br />are normal.http://ijfs.usb.ac.ir/article_1749_0c2c383b515252fb3d9e98a52b484472.pdfUniversity of Sistan and BaluchestanIranian Journal of Fuzzy Systems1735-065411620141230Fuzzy order congruences on fuzzy posets89109175010.22111/ijfs.2014.1750ENJingHaoCollege of Mathematics and Information Science, Henan University of
Economics and Law, Zhengzhou, 450000, ChinaQingguoLiCollege of Mathematics and Econometrics, Hunan University, Chang-
sha, 410082, ChinaLankunGuoCollege of Information Science and Engineering, Hunan University,
Changsha, 410082, ChinaJournal Article20130115Fuzzy order congruences play an important role in studying the categorical<br />properties of fuzzy posets. In this paper, the correspondence between the fuzzy<br />order congruences and the fuzzy order-preserving maps is discussed. We focus on<br />the characterization of fuzzy order congruences on the fuzzy poset in terms of<br />the fuzzy preorders containing the fuzzy partial order. At last, fuzzy complete<br />congruences on fuzzy complete lattices are discussed.http://ijfs.usb.ac.ir/article_1750_7c3d36fc2c07242ed59fdace177ea9a8.pdfUniversity of Sistan and BaluchestanIranian Journal of Fuzzy Systems1735-065411620141230Some Characterizations of Hopf Group on Fuzzy Topological Spaces111121175110.22111/ijfs.2014.1751ENS.DemiralpDepartment of Mathematics, Faculty of Sciences and Literatures,
Kastamonu University, 37110, Kastamonu, TurkeyE.GunerDepartment of Mathematics, Faculty of Sciences, Ankara University,
06100, Ankara, TurkeyJournal Article20130615In this paper, some fundamental concepts are given relating to fuzzy<br />topological spaces. Then it is shown that there is a contravariant functor<br />from the category of the pointed fuzzy topological spaces to the category of<br />groups and homomorphisms. Also the fuzzy topological spaces which are Hopf<br />spaces are investigated and it is shown that a pointed fuzzy toplogical<br />space having the same homotopy type as an Hopf group is itself an Hopf group.http://ijfs.usb.ac.ir/article_1751_62a221a05a97d374823cf9bddca2afcd.pdfUniversity of Sistan and BaluchestanIranian Journal of Fuzzy Systems1735-065411620141230On Fixed Point Theorems for Contractive-type Mappings in Fuzzy Metric Spaces123130175210.22111/ijfs.2014.1752END.QiuCollege of Mathematics and Physics, Chongqing University of Posts and
Telecommunications, Nanan, Chongqing, 400065, P. R. ChinaC.LuCollege of Mathematics and Physics, Chongqing University of Posts and
Telecommunications, Nanan, Chongqing, 400065, P. R. ChinaW.ZhangCollege of Mathematics and Physics, Chongqing University of Posts and
Telecommunications, Nanan, Chongqing, 400065, P. R. ChinaJournal Article20140415In this paper, we provide two different kinds of fixed point<br />theorems in fuzzy metric spaces. The first kind is for the fuzzy<br />$varepsilon$-contractive type mappings and the second kind is for<br />the fuzzy order $psi$-contractive type mappings. They improve the<br />corresponding conclusions in the literature.http://ijfs.usb.ac.ir/article_1752_b359aa16d715df4332e91e9a576d5135.pdfUniversity of Sistan and BaluchestanIranian Journal of Fuzzy Systems1735-065411620141230Persian-translation vol. 11, no. 6, December 2014133139267010.22111/ijfs.2014.2670ENJournal Article20161005http://ijfs.usb.ac.ir/article_2670_2a989bb30c102e3809959c2b27a266b9.pdf