eng
University of Sistan and Baluchestan
Iranian Journal of Fuzzy Systems
1735-0654
1735-0654
2014-10-29
11
5
0
10.22111/ijfs.2014.2683
2683
Cover vol. 11, no. 5, October 2014
http://ijfs.usb.ac.ir/article_2683_cc8b69bce4395e0f795ef058c1b724a7.pdf
eng
University of Sistan and Baluchestan
Iranian Journal of Fuzzy Systems
1735-0654
1735-0654
2014-10-30
11
5
1
21
10.22111/ijfs.2014.1698
1698
مقاله پژوهشی
Indirect Adaptive Interval Type-2 Fuzzy PI Sliding Mode Control for a Class of Uncertain Nonlinear Systems
Mostafa Ghaemi
mostafa.ghaemi@stu.um.ac.ir
1
Mohammad-Reza Akbarzadeh-Totonchi
akbarzadeh@ieee.org
2
Department of Electrical Engineering, Center of Excellence on Soft Computing and Intelligent Information Processing, Ferdowsi University of Mash- had, Iran
Department of Electrical Engineering, Cen- ter of Excellence on Soft Computing and Intelligent Information Processing, Fer- dowsi University of Mashhad, Iran
Controller design remains an elusive and challenging problem foruncertain nonlinear dynamics. Interval type-2 fuzzy logic systems (IT2FLS) incomparison with type-1 fuzzy logic systems claim to effectively handle systemuncertainties especially in the presence of disturbances and noises, but lack aformal mechanism to guarantee performance. In contrast, adaptive sliding modecontrol (ASMC) provides a robust mechanism to provide system stability againstparameter changes and uncertainties, but suffers from chattering phenomenon.In this paper, a stable indirect adaptive interval type-2 fuzzy PI sliding modecontroller (AIT2FSMC) is investigated for a class of nonlinear systems in thepresence of system's unmodeled dynamics and external disturbances. The addedProportional Integral (PI) structure is used to further attenuate the chatteringproblem that is common in sliding mode control systems. The interval type-2fuzzy adaptation law adjusts the consequent parameters of the rules based on aLyapunov synthesis approach. Mathematical analysis proves the closed loopasymptotic stability, while benefiting from human expert knowledge to improvetransient response of the system. Application to two nonlinear systems verifiesthe robustness of the proposed AIT2FSMC approach in the presence ofuncertainties and bounded external disturbances, especially when disturbanceshave fast changes and large magnitudes.
http://ijfs.usb.ac.ir/article_1698_6cd8c0b441200a1b59cf32f2e4deb60a.pdf
Interval type-2 fuzzy logic systems
Sliding mode control
Uncertainty
Adaptive PI control
Lyapunov theory
Nonlinear systems
eng
University of Sistan and Baluchestan
Iranian Journal of Fuzzy Systems
1735-0654
1735-0654
2014-10-30
11
5
23
38
10.22111/ijfs.2014.1699
1699
مقاله پژوهشی
FUZZY AHP METHOD FOR PLANT SPECIES SELECTION IN MINE RECLAMATION PLANS: CASE STUDY SUNGUN COPPER MINE
Iraj Alavi
iraj_alavi@yahoo.com
1
Department of Mining Engineering, Science and Research Branch, Islamic Azad University, Tehran, Iran
All steps of a mining project generally disturb the environment'soriginal condition during construction. Therefore, it is crucial toimplement an appropriate mine reclamation plan throughout all mineplanning stages from sustainable and environmental point of view.Planting the suitable plant species in each step of any reclamationplan and each area is one of the necessities in this respect.Selecting of plant species is carried out on the basis of theprimary factors. After that priorities between the selected speciesare defined on account of the secondary factors by a MCDM model. Inthis regard, a Fuzzy AHP approach was used. This method was appliedto Sungun open pit copper mine in Iran as a case study. Decisionmaking was conducted on the basis of oral judgments and groupexpertise in the case study. The results achieved from the analysesshowed that the priorities of alternatives are as Maple, Ash, Oak,Barberry, Paliurus spina -Christi, Sloe, respectively.
http://ijfs.usb.ac.ir/article_1699_4f6219400db3a73b14fe1ac316969856.pdf
Mine reclamation
Plant species selection
MCDM
Fuzzy AHP
Sungun open pit copper mine
Maple
eng
University of Sistan and Baluchestan
Iranian Journal of Fuzzy Systems
1735-0654
1735-0654
2014-10-30
11
5
39
46
10.22111/ijfs.2014.1700
1700
مقاله پژوهشی
Some Remarks on Generalized Sequence Space of Bounded Variation of Sequences of Fuzzy Numbers
H. Altinok
hifsialtinok@gmail.com
1
M. Et
mikailet@yahoo.com
2
R. Colak
rcolak@firat.edu.tr
3
Department of Mathematics, Firat University, Elazig, Turkey
Department of Mathematics, Firat University, Elazig, Turkey
Department of Mathematics, Firat University, Elazig, Turkey
The idea of difference sequences of real (or complex) numbers was introducedby Ki zmaz cite{Kizmaz}. In this paper, using the difference operator and alacunary sequence, we introduce and examine the class of sequence $bv_{theta}left( Delta,mathcal{F}right) .$ We study some of its properties likesolidity, symmetricity, etc.
http://ijfs.usb.ac.ir/article_1700_270f02138ecd150c48eccb6291138b41.pdf
Fuzzy number
Difference operator
Lacunary
sequence
eng
University of Sistan and Baluchestan
Iranian Journal of Fuzzy Systems
1735-0654
1735-0654
2014-10-30
11
5
47
53
10.22111/ijfs.2014.1721
1721
مقاله پژوهشی
Characterizations and properties of bounded $L$-fuzzy sets
Hua-Peng Zhang
huapengzhang@163.com
1
School of Science, Nanjing University of Posts and Telecommuni- cations, Nanjing 210023, China
In 1997, Fang proposed the concept of boundedness of $L$-fuzzy setsin $L$-topological vector spaces. Since then, this concept has beenwidely accepted and adopted in the literature. In this paper,several characterizations of bounded $L$-fuzzy sets in$L$-topological vector spaces are obtained and some properties ofbounded $L$-fuzzy sets are investigated.
http://ijfs.usb.ac.ir/article_1721_1b512eacef6bd80d8d50286d0e43cd01.pdf
$L$-topological vector space
Bounded $L$-fuzzy set
Induced $L$-topology
eng
University of Sistan and Baluchestan
Iranian Journal of Fuzzy Systems
1735-0654
1735-0654
2014-10-30
11
5
55
66
10.22111/ijfs.2014.1722
1722
مقاله پژوهشی
Fuzzy rules for fuzzy $overline{X}$ and $R$ control charts
M. Khademi
mahdiyeh_khademi@yahoo.com
1
V. Amirzadeh
v_amirzadeh@uk.ac.ir
2
Department of Statistics, Faculty of Mathematics and Computer Sience, Shahid Bahonar University of Kerman, Kerman, Iran
Department of Statistics, Faculty of Mathematics and Computer Sience, Shahid Bahonar University of Kerman, Kerman, Iran
Statistical process control ($SPC$), an internationally recognized technique for improving product quality and productivity, has been widely employed in various industries. $SPC$ relies on the use of control charts to monitor a manufacturing process for identifying causes of process variation and signaling the necessity of corrective action for the process. Fuzzy data exist ubiquitously in the modern manufacturing process, and in this paper, two alternative approaches to fuzzy control charts are developed for monitoring sample averages and range. These approaches are based on "fuzzy mode" and "fuzzy rules" methods, when the measures are expressed by non-symmetric triangular fuzzy numbers. In contrast to the existing fuzzy control charts, the proposed approach does not require the use of the defuzzification and this prevents the loss of information included in samples. A numeric example illustrates the performance of the method and interprets the results.
http://ijfs.usb.ac.ir/article_1722_b706f471fcd59f5cefef2e6ebb39ab63.pdf
Fuzzy control charts
Fuzzy rules
Fuzzy numbers
Fuzzy mode
eng
University of Sistan and Baluchestan
Iranian Journal of Fuzzy Systems
1735-0654
1735-0654
2014-10-30
11
5
67
79
10.22111/ijfs.2014.1723
1723
مقاله پژوهشی
Weighted similarity measure on interval-valued fuzzy sets and its application to pattern recognition
M. Arefi
arefi@birjand.ac.ir
1
S. M. Taheri
sm_taheri@ut.ac.ir
2
Department of Statistics, Faculty of Mathematical Sciences and Statis- tics, University of Birjand, Birjand, Iran
Department of Engineering Science, College of Engineering, Univer- sity of Tehran, Tehran, P.O. Box 11365-4563, Iran
A new approach to define the similarity measure betweeninterval-valued fuzzy sets is presented. The proposed approach isbased on a weighted measure in which the normalized similaritiesbetween lower functions and also between upper functions arecombined by a weight parameter. The properties of this similaritymeasure are investigated. It is shown that, the proposed measurehas some advantages in comparison with the commonly usedsimilarity measures.
http://ijfs.usb.ac.ir/article_1723_990861478a72bbd5c595d6077a046f00.pdf
Interval-valued fuzzy set
Intuitionistic fuzzy set
Pattern
recognition
Similarity measure
eng
University of Sistan and Baluchestan
Iranian Journal of Fuzzy Systems
1735-0654
1735-0654
2014-10-30
11
5
81
92
10.22111/ijfs.2014.1724
1724
مقاله پژوهشی
Fixed point results in fuzzy metric-like spaces
Satish Shukla
satishmathematics@yahoo.co.in
1
Mujahid Abbas
mujahidabbas14@yahoo.com
2
Department of Applied Mathematics, Shri Vaishnav Institute of Technology & Science, Gram Baroli, Sanwer Road, Indore (M.P.) 453331, India
Department of Mathematics and Applied Mathematics, University of Pretoria, Lynnwood road, Pretoria 0002, South Africa
In this paper, the concept of fuzzy metric-like spaces is introduced which generalizes the notion of fuzzy metric spaces given by George and Veeramani cite{Vee1}. Some fixed point results for fuzzy contractive mappings on fuzzy metric-like spaces are derived. These results generalize several comparable results from the current literature. We also provide illustrative examples in support of our new results where result from current literature are not applicable.
http://ijfs.usb.ac.ir/article_1724_8623f897d8bd53f9f275d919ae8777d9.pdf
Fuzzy metric space
Fuzzy metric-like space
Fuzzy contractive mapping
Fixed point
eng
University of Sistan and Baluchestan
Iranian Journal of Fuzzy Systems
1735-0654
1735-0654
2014-10-30
11
5
93
103
10.22111/ijfs.2014.1725
1725
مقاله پژوهشی
$L$-enriched topological systems---a common framework of $L$-topology and $L$-frames
M. Liu
liumin@chd.edu.cn
1
School of Sciences, Chang'an University, Xi'an, China
Employing the notions of the strong $L$-topology introduced by Zhangand the $L$-frame introduced by Yao and the concept of $L$-enrichedtopological system defined in the present paper, we constructadjunctions among the categories {bf St$L$-Top} of strong$L$-topological spaces, {bf S$L$-Loc} of strict $L$-locales and{bf $L$-EnTopSys} of $L$-enriched topological systems. All of theseconcepts are essentially based on the theory of $L$-enrichedcategories, thus we obtain a unified enriched-categorical version ofthe classical adjunctions among the categories {bf Top} oftopological spaces, {bf Loc} of locales and {bf TopSys} oftopological systems, as well as a unified enriched-categoricalapproach to treating these concepts.
http://ijfs.usb.ac.ir/article_1725_ad67a8fcc772d02492c67d93d348e9c0.pdf
Enriched category
Adjunction
$L$-ordered set
Strong
$L$-topology
$L$-enriched topological system
$L$-frame
eng
University of Sistan and Baluchestan
Iranian Journal of Fuzzy Systems
1735-0654
1735-0654
2014-10-29
11
5
107
114
10.22111/ijfs.2014.2684
2684
Persian-translation vol. 11, no. 5, October 2014
http://ijfs.usb.ac.ir/article_2684_3bc1329c2939f13fd5ee75e2b24c42d7.pdf