University of Sistan and Baluchestan
Iranian Journal of Fuzzy Systems
1735-0654
13
3
2016
06
30
Cover for Volume.13, No.3
0
EN
10.22111/ijfs.2016.2627
http://ijfs.usb.ac.ir/article_2627.html
http://ijfs.usb.ac.ir/article_2627_ca230bc374d61c633116a51b3f3de2b6.pdf
University of Sistan and Baluchestan
Iranian Journal of Fuzzy Systems
1735-0654
13
3
2016
06
29
A PSO-based Optimization of a fuzzy-based MPPT controller for a photovoltaic pumping system used for irrigation of greenhouses
1
18
EN
aboubakeur
Hadjaissa
LACoSERE Laboratory, Amar Telidji University, BP 37G,
Ghardaia Road, Laghouat (03000), Algeria
Khaled
Ameur
LACoSERE Laboratory, Amar Telidji University, BP 37G, Ghardaia
Road, Laghouat (03000), Algeria
Mohamed Salah
Ait-Cheikh
LDCCP Laboratory, Ecole nationale polytchnique, 10
avenue H. Badi BP 182 Harrach Algiers, Algeria
Najib
Essounbouli
CReSTIC Laboratory, Reims University, 10026 Troyes CEDEX,
France
10.22111/ijfs.2016.2426
The main asset of this paper is among the uses of fuzzy logic in the engineering sector and especially in the renewable energies as a large alternate of fossil energies, in this paper a PSO-based optimization is used to find the optimal scaling parameters, of a fuzzy logic-based MPPT controller, that maximize the efficiency of a photovoltaic pumping system. The tuning of input and output parameters are of direct effect on the power that flows from the photovoltaic source to the load. In order to see concrete results, the PV system is used for irrigation of greenhouses in Laghouat, Algeria. The performances of the proposed PSO-based fuzzy controller are compared with those obtained using fuzzy logic and P&O controllers under variations of meteorological conditions. The simulation results proved a good robustness performance of the proposed Fuzzy based PSO controller over the other regarding the gained solar energy and the daily pumped water.
PSO-based optimization,Photovoltaic pumping system,MPPT controller,Fuzzy logic,Perturb and Observe (P&O)
http://ijfs.usb.ac.ir/article_2426.html
http://ijfs.usb.ac.ir/article_2426_19cf4facaa4c0c91f8603d066cf6790f.pdf
University of Sistan and Baluchestan
Iranian Journal of Fuzzy Systems
1735-0654
13
3
2016
06
30
On minimal realization of IF-languages: A categorical approach
19
34
EN
Vijay K.
Yadav
Department of Mathematics, National Institute of Technology,
Jamshedpur-831014, Jharkhand, India
Vinay
Gautam
Department of Applied Mathematics, Indian School of Mines, Dhanbad-
826004, Jharkhand, India
gautam.gautam181@gmail.com
S. P.
Tiwari
Department of Applied Mathematics, Indian School of Mines, Dhanbad-
826004, Jharkhand, India
10.22111/ijfs.2016.2427
he purpose of this work is to introduce and study the concept of minimal deterministic automaton with IF-outputs which realizes the given IF-language. Among two methods for construction of such automaton presented here, one is based on Myhill-Nerode's theory while the other is based on derivatives of the given IF-language. Meanwhile, the categories of deterministic automata with IF-outputs and IF-languages alongwith a functorial relationship between them are introduced
eterministic automaton,IF-output,IF-language,Minimal realization
http://ijfs.usb.ac.ir/article_2427.html
http://ijfs.usb.ac.ir/article_2427_d4fba1c316d0e743973d31743874f79d.pdf
University of Sistan and Baluchestan
Iranian Journal of Fuzzy Systems
1735-0654
13
3
2016
06
30
Power and Velocity Control of Wind Turbines by Adaptive Fuzzy Controller during Full Load Operation
35
48
EN
Hamed
Habibi
PhD, Faculty of Science and Engineering, School of Civil and Me-
chanical Engineering, Curtin University, Perth, Australia
hamed28160@gmail.com
Aghil
Yousefi Koma
Professor, Center of Advanced Systems and Technologies
(CAST), School of Mechanical Engineering, College of Engineering, University of
Tehran, Tehran, Iran
aykoma@ut.ac.ir
Ahmad
Sharifian
Computational Engineering and Science Research Centre (CESRC),
Faculty of Health, Engineering and Science, University of Southern Queensland, Toow-
oomba, Australia
10.22111/ijfs.2016.2428
Research on wind turbine technologies have focused primarily on power cost reduction. Generally, this aim has been achieved by increasing power output while maintaining the structural load at a reasonable level. However, disturbances, such as wind speed, affect the performance of wind turbines, and as a result, the use of various types of controller becomes crucial.This paper deals with two adaptive fuzzy controllers at full load operation. The first controller uses the generated power, and the second one uses the angular velocity as feedback signals. These feedback signals act to control the load torque on the generator and blade pitch angle. Adaptive rules, derived from the fuzzy controller, are defined based on the differences between state variables of the power and angular velocity of the generator and their nominal values.The results, which are compared with verified results of reference controller, show that the proposed adaptive fuzzy controller in full load operation has a higher efficiency than that of reference ones, insensitive to fast wind speed variation that is considered as disturbance.
Adaptive fuzzy controller,Control strategy,Full load region,Wind turbine model
http://ijfs.usb.ac.ir/article_2428.html
http://ijfs.usb.ac.ir/article_2428_308f6f0e85ce1f925dc3c630db3c4b78.pdf
University of Sistan and Baluchestan
Iranian Journal of Fuzzy Systems
1735-0654
13
3
2016
06
30
Intuitionistic Fuzzy Information Measures with Application in Rating of Township Development
49
70
EN
Arunodaya Raj
Mishra
Department of Mathematics, ITM University, Gwalior-474001,
M. P., India
10.22111/ijfs.2016.2429
Predominantly in the faltering atmosphere, the precise value of some factors is difficult to measure. Though, it can be easily approximated by intuitionistic fuzzy linguistic term in the real-life world problem. To deal with such situations, in this paper two information measures based on trigonometric function for intuitionistic fuzzy sets, which are a generalized version of the fuzzy information measures are introduced. Based on it new trigonometric similarity measure is developed. Mathematical illustration displays reasonability and effectiveness of the information measures for IFSs by comparing it with the existing information measures. Corresponding to information and similarity measures for IFSs, two new methods: (1) Intuitionistic Fuzzy Similarity Measure Weighted Average Operator (IFSMWAO) method for township development and (2) TOPSIS method for multiple criteria decision making (MCDM) (investment policies) problems have been developed. In the existing methods the authors have assumed the weight vectors, while in the proposed method it has been calculated using intuitionistic fuzzy information measure. This enhances the authenticity of the proposed method.
Intuitionistic fuzzy set,Intuitionistic fuzzy information,Similarity measure,Township development,TOPSIS
http://ijfs.usb.ac.ir/article_2429.html
http://ijfs.usb.ac.ir/article_2429_0a20ccdc49e7f2ba01b140e7ce8033a0.pdf
University of Sistan and Baluchestan
Iranian Journal of Fuzzy Systems
1735-0654
13
3
2016
06
30
Solving fuzzy differential equations by using Picard method
71
81
EN
S. S.
Behzadi
Department of Mathematics, Islamic Azad University, Qazvin Branch
Qazvin Iran
T.
Allahviranloo
Department of Mathematics, Islamic Azad University, Science and
Research Branch, Tehran Iran
10.22111/ijfs.2016.2430
In this paper, The Picard method is proposed to solve the system of first-order fuzzy differential equations $(FDEs)$ with fuzzy initial conditions under generalized $H$-differentiability. Theexistence and uniqueness of the solution and convergence of theproposed method are proved in details. Finally, the method is illustrated by solving some examples.
First order fuzzy differential equations,Fuzzy number,Fuzzy-valued function,$h$-difference,Generalized differentiability,Picard method
http://ijfs.usb.ac.ir/article_2430.html
http://ijfs.usb.ac.ir/article_2430_46f79676ff400d760887de75aa5b914a.pdf
University of Sistan and Baluchestan
Iranian Journal of Fuzzy Systems
1735-0654
13
3
2016
06
30
A Quadratic Programming Method for Ranking Alternatives Based on Multiplicative and Fuzzy Preference Relations
83
94
EN
Yejun
Xu
State Key Laboratory of Hydrology-Water Resources and Hydraulic
Engineering, Hohai University, No.1 Xikang Road, Nanjing, 210098, Jiangsu,China and
Business School, Hohai University, Jiangning Campus, No.8 Focheng West Road, Jiangning, Nanjing, 211100, Jiangsu, China
xuyejohn@163.com
Qianqian
Wang
State Key Laboratory of Hydrology-Water Resources and Hydraulic
Engineering, Hohai University, No.1 Xikang Road, Nanjing, 210098, Jiangsu, China and
Business School, Hohai University, Jiangning Campus, No.8 Focheng West Road, Jiangning, Nanjing, 211100, Jiangsu, China
Huimin
Wang
State Key Laboratory of Hydrology-Water Resources and Hydraulic
Engineering, Hohai University, No.1 Xikang Road, Nanjing, 210098, Jiangsu, China and
Business School, Hohai University, Jiangning Campus, No.8 Focheng West Road, Jiangning, Nanjing, 211100, Jiangsu, China
hmwang@hhu.edu.cn
10.22111/ijfs.2016.2431
This paper proposes a quadratic programming method (QPM) for ranking alternatives based on multiplicative preference relations (MPRs) and fuzzy preference relations (FPRs). The proposed QPM can be used for deriving a ranking from either a MPR or a FPR, or a group of MPRs, or a group of FPRs, or their mixtures. The proposed approach is tested and examined with two numerical examples, and comparative analyses with the existing methods are provided to show the effectiveness and advantages of the QPM.
Quadratic programming,Group decision making (GDM),Multiplicative preference relation (MPR),Fuzzy preference relation (FPR),Ranking alternatives
http://ijfs.usb.ac.ir/article_2431.html
http://ijfs.usb.ac.ir/article_2431_b2acd260e89417f6d83b41078b14e53e.pdf
University of Sistan and Baluchestan
Iranian Journal of Fuzzy Systems
1735-0654
13
3
2016
06
30
Uniform connectedness and uniform local connectedness for lattice-valued uniform convergence spaces
95
111
EN
Gunther
Jager
School of Mechanical Engineering, University of Applied Sciences
Stralsund, 18435 Stralsund, Germany
g.jager@ru.ac.za, gunther.jaeger@fh-stralsund.de
10.22111/ijfs.2016.2432
We apply Preuss' concept of $mbbe$-connectedness to the categories of lattice-valued uniform convergence spaces and of lattice-valued uniform spaces. A space is uniformly $mbbe$-connected if the only uniformly continuous mappings from the space to a space in the class $mbbe$ are the constant mappings. We develop the basic theory for $mbbe$-connected sets, including the product theorem. Furthermore, we define and study uniform local $mbbe$-connectedness, generalizing a classical definition from the theory of uniform convergence spaces to the lattice-valued case. In particular it is shown that if the underlying lattice is completely distributive, the quotient space of a uniformly locally $mbbe$-connected space and products of locally uniformly $mbbe$-connected spaces are locally uniformly $mbbe$-connected.
$L$-topology,$L$-uniform convergence space,Uniform connectedness,Local connectedness
http://ijfs.usb.ac.ir/article_2432.html
http://ijfs.usb.ac.ir/article_2432_940f5735f6a8674b2e5e69ca8fbb8ebb.pdf
University of Sistan and Baluchestan
Iranian Journal of Fuzzy Systems
1735-0654
13
3
2016
06
30
Optimal coincidence best approximation solution in non-Archimedean Fuzzy Metric Spaces
113
124
EN
Naeem
Saleem
Department of Mathematics, National University of Computer and
Emerging Sciences, Lahore - Pakistan
naeem.saleem2@gmail.com
Mujahid
Abbas
Department of Mathematics and Applied Mathematics, University of
Pretoria, Lynnwood road, Pretoria 0002, South Africa and Department of Mathematics, King Abdulaziz University, P.O. Box 80203, Jeddah 21589, Saudi Arabia
abbas.mujahid@gmail.com
Zahid
Raza
Department of Mathematics, National University of Computer and
Emerging Sciences, Lahore - Pakistan
zahid.raza@nu.edu.pk
10.22111/ijfs.2016.2433
In this paper, we introduce the concept of best proximal contraction theorems in non-Archimedean fuzzy metric space for two mappings and prove some proximal theorems. As a consequence, it provides the existence of an optimal approximate solution to some equations which contains no solution. The obtained results extend further the recently development proximal contractions in non-Archimedean fuzzy metric spaces and famous Banach contraction principle.
Fuzzy metric space,Optimal approximate solution,Fuzzy proximal contraction,Fuzzy expansive,Fuzzy isometry,s-increasing sequence,t-norm
http://ijfs.usb.ac.ir/article_2433.html
http://ijfs.usb.ac.ir/article_2433_a6abe3e087f96471b03c9cbff8f841d2.pdf
University of Sistan and Baluchestan
Iranian Journal of Fuzzy Systems
1735-0654
13
3
2016
06
30
On $L$-double fuzzy rough sets
125
142
EN
A. A.
Abd El-latif
Department of Mathematics, Faculty of Science and Arts at
Belqarn, P. O. Box 60, Sabt Al-Alaya 61985, Bisha University, Saudi Arabia
A. A.
Ramadan
Department of Mathematics, Beni-suef University, Beni-suef, Egypt
10.22111/ijfs.2016.2434
ur aim of this paper is to introduce the concept of $L$-double fuzzy rough sets in whichboth constructive and axiomatic approaches are used. In constructive approach, a pairof $L$-double fuzzy lower (resp. upper) approximation operators is defined and the basic properties of them are studied.From the viewpoint of the axiomatic approach, a set of axioms is constructed to characterize the $L$-double fuzzy upper (resp. lower) approximation of $L$-double fuzzy rough sets. Finally, from $L$-double fuzzy approximation operators, we generated Alexandrov $L$-double fuzzy topology.
$L$-fuzzy sets,$L$-double fuzzy relations,$L$-double fuzzy rough sets,$L$-double fuzzy approximation operators,$L$-double fuzzy topology
http://ijfs.usb.ac.ir/article_2434.html
http://ijfs.usb.ac.ir/article_2434_831f05c10319bc6599ac74ffc8002dd2.pdf
University of Sistan and Baluchestan
Iranian Journal of Fuzzy Systems
1735-0654
13
3
2016
06
30
On The Bicompletion of Intuitionistic Fuzzy Quasi-Metric Spaces
143
151
EN
Francisco
Castro-Company
Gilmation S.L., Calle 232, 66 La Ca~nada, Paterna,
46182, Spain
fracasco@mat.upv.es
Pedro
Tirado
Instituto Universitario de Matematica Pura y Aplicada, Universidad
Politecnica de Valencia, 46022, Valencia, Spain
pedtipe@mat.upv.es
10.22111/ijfs.2016.2435
Based on previous results that study the completion of fuzzy metric spaces, we show that every intuitionistic fuzzy quasi-metric space, using the notion of fuzzy metric space in the sense of Kramosil and Michalek to obtain a generalization to the quasi-metric setting, has a bicompletion which is unique up to isometry.
Intuitionistic fuzzy quasi-metric,Bicomplete,Isometry,Bicompletion
http://ijfs.usb.ac.ir/article_2435.html
http://ijfs.usb.ac.ir/article_2435_c6eb4675a88b0a2003c412c51c8822a3.pdf
University of Sistan and Baluchestan
Iranian Journal of Fuzzy Systems
1735-0654
13
3
2016
06
30
Persian Translation of Abstracts
154
164
EN
10.22111/ijfs.2016.2628
http://ijfs.usb.ac.ir/article_2628.html
http://ijfs.usb.ac.ir/article_2628_bfb3bb2f69becd50c1f16db357730f57.pdf