Cover vol. 10, no. 5, October 2013
text
article
2013
eng
Iranian Journal of Fuzzy Systems
University of Sistan and Baluchestan
1735-0654
10
v.
5
no.
2013
0
http://ijfs.usb.ac.ir/article_2700_fce0eef9c43daec5c827660abe463a19.pdf
dx.doi.org/10.22111/ijfs.2013.2700
Universal Triple I Method for Fuzzy Reasoning and
Fuzzy Controller
Yiming
Tang
Information and Communication Engineering Postdoctoral Research
Station, School of Computer and Information, Hefei University of Technology, Hefei
230009, China
author
Fuji
Ren
Institute of Technology and Science, The University of Tokushima, Minami
Josanjima, Tokushima, 770-8506, Japan
author
text
article
2013
eng
As a generalization of the triple I method, the universal triple Imethod is investigated from the viewpoints of both fuzzy reasoningand fuzzy controller. The universal triple I principle is putforward, which improves the previous triple I principle. Then,unified form of universal triple I method is established based onthe (0,1)-implication or R-implication. Moreover, the reversibilityproperty of universal triple I method is analyzed from expansion,reduction and other type operators, which demonstrate that itsreversibility property seems fine, especially for the case employingthe (0,1)-implication. Lastly, we analyze the response ability offuzzy controllers based on universal triple I method, then thepracticability of triple I method is improved.
Iranian Journal of Fuzzy Systems
University of Sistan and Baluchestan
1735-0654
10
v.
5
no.
2013
1
24
http://ijfs.usb.ac.ir/article_1204_f6ca9920e40b0520d5d00b61d5a8b4d9.pdf
dx.doi.org/10.22111/ijfs.2013.1204
A perceptual measure of mobile advertising using fuzzy linguistic
preference relation
Ling-Zhong
Lin
Department of Marketing Management, Shih Chien University Kaoh-
siung Campus, Taiwan
author
Huery-Ren
Yeh
Department of Marketing Management, Shih Chien University Kaoh-
siung Campus, Taiwan
author
text
article
2013
eng
The purpose of this study has been concretized in terms of impact of mobileadvertising on the purchase decision of the consumer and aimed to answer toresearch questions: which is the underlying structure of criteria in mobileadvertising? And which criteria are important for consumers in evaluatingmobile advertising? A sample of consumers in Taiwan was surveyed and usingfuzzy judgment to determine the vague perception of consumers. In addition,the proposed fuzzy linguistic preference relation (FLPR) is used to expressthe subjective preferences of consumers with respect to the consideredcriteria of mobile advertising, and also use the criterion gauges toevaluate the implementation of mobile advertising strategies. Finally, anempirical study is illustrated to demonstrate that the proposed method ismore suitable than the traditional method, especially when the consumerjudgments are likely be inconsistent in pair-wise comparison. The presentedfuzzy linguistic preference relation method is an easy and practical way toprovide a mechanism for improving consistency in perceptual measure ofmobile advertising.
Iranian Journal of Fuzzy Systems
University of Sistan and Baluchestan
1735-0654
10
v.
5
no.
2013
25
46
http://ijfs.usb.ac.ir/article_1205_fdc652313774342156c98525406d61e2.pdf
dx.doi.org/10.22111/ijfs.2013.1205
Linear Objective Function Optimization with the Max-product Fuzzy Relation Inequality Constraints
Ali
Abbasi Molai
School of Mathematics and Computer Sciences, Damghan Univer-
sity, Damghan, P.O.Box 36715-364, Iran
author
text
article
2013
eng
In this paper, an optimization problem with a linear objective function subject to a consistent finite system of fuzzy relation inequalities using the max-product composition is studied. Since its feasible domain is non-convex, traditional linear programming methods cannot be applied to solve it. We study this problem and capture some special characteristics of its feasible domain and optimal solutions. Some procedures are proposed to reduce and decompose the original problem into several sub-problems with smaller dimensions. Combining the procedures, a new algorithm is proposed to solve the original problem. An example is also provided to show the efficiency of the algorithm.
Iranian Journal of Fuzzy Systems
University of Sistan and Baluchestan
1735-0654
10
v.
5
no.
2013
47
61
http://ijfs.usb.ac.ir/article_1206_6e51a83a1da15f1f0c5b2c66bbdd9ede.pdf
dx.doi.org/10.22111/ijfs.2013.1206
Meet-continuity on $L$-directed Complete Posets
Shuhua
Su
College of Mathematics and Econometrics, Hunan University, Chang-
sha 410082, P.R. CHINA and College of Science, East China Institute of Technology,
Fuzhou, JiangXi 344000, P.R. China
author
Qingguo
Li
College of Mathematics and Econometrics, Hunan University, Chang-
sha 410082, P.R. China
author
Lankun
Guo
College of Mathematics and Econometrics, Hunan University, Chang-
sha 410082, P.R. China
author
text
article
2013
eng
In this paper, the definition of meet-continuity on $L$-directedcomplete posets (for short, $L$-dcpos) is introduced. As ageneralization of meet-continuity on crisp dcpos, meet-continuity on$L$-dcpos, based on the generalized Scott topology, ischaracterized. In particular, it is shown that every continuous$L$-dcpo is meet-continuous and $L$-continuous retracts ofmeet-continuous $L$-dcpos are also meet-continuous. Then, sometopological properties of meet-continuity on $L$-dcpos arediscussed. It is shown that meet-continuity on $L$-dcpos is atopological invariant with respect to the generalized Scotttopology, and meet-continuity on $L$-dcpos is hereditary withrespect to generalized Scott closed subsets.
Iranian Journal of Fuzzy Systems
University of Sistan and Baluchestan
1735-0654
10
v.
5
no.
2013
63
78
http://ijfs.usb.ac.ir/article_1207_9b5017f23e1aef5ba45329046156f1b4.pdf
dx.doi.org/10.22111/ijfs.2013.1207
A new similarity measure between type-2 fuzzy numbers and fuzzy risk
analysis
D. Stephen
Dinagar
Department of Mathematics, TBML College,
Porayar, India
author
A.
Anbalagan
National Institute of Technology, Puducherry, Karaikkal, India
author
text
article
2013
eng
In this paper, we present a revised similarity measure based onChen-and-Chen's similarity measure for fuzzy risk analysis. The revisedsimilarity measure uses the corrected formulae to calculate the centre ofgravity points, therefore it is more effective than the Chen-and-Chen'smethod. The revised similarity measure can overcome the drawbacks of theexisting methods. We have also proposed a new similarity measure between type-2fuzzy numbers and a method for handling fuzzy risk analysis problem.
Iranian Journal of Fuzzy Systems
University of Sistan and Baluchestan
1735-0654
10
v.
5
no.
2013
79
95
http://ijfs.usb.ac.ir/article_1208_8481314a4450603573e6a36b9cac730d.pdf
dx.doi.org/10.22111/ijfs.2013.1208
Fuzzy subgroups of the direct product of a
generalized quaternion group and a cyclic group of any odd order
Ju-Mok
Oh
Department of Mathematics, Gangneung-Wonju National University, 7,
Jukheon-gil, Gangneung-si, Gangwon-do 210-702, Republic of Korea
author
text
article
2013
eng
Bentea and T\u{a}rn\u{a}uceanu~(An. \c{S}tiin\c{t}. Univ. Al. I.Cuza Ia\c{s}, Ser. Nou\v{a}, Mat., {\bf 54(1)} (2008), 209-220)proposed the following problem: Find an explicit formula for thenumber of fuzzy subgroups of a finite hamiltonian group of type$Q_8\times \mathbb{Z}_n$ where $Q_8$ is the quaternion group oforder $8$ and $n$ is an arbitrary odd integer. In this paper weconsider more general group: the direct product of a generalizedquaternion group of any even order and a cyclic group of any oddorder. For this group we give an explicit formula for the number offuzzy subgroups.
Iranian Journal of Fuzzy Systems
University of Sistan and Baluchestan
1735-0654
10
v.
5
no.
2013
97
112
http://ijfs.usb.ac.ir/article_1209_cdbaf63e2edeaa408c76ce2aa3691e62.pdf
dx.doi.org/10.22111/ijfs.2013.1209
Finite Dimensional Generating Spaces of Quasi-Norm Family
G.
Rano
Department of Mathematics, Visva-Bharati, Santiniketan-731235, West Ben-
gal, India
author
T.
Bag
Department of Mathematics, Visva-Bharati, Santiniketan-731235, West Ben-
gal, India
author
S. K.
Samanta
Department of Mathematics, Visva-Bharati, Santiniketan-731235, West
Bengal, India
author
text
article
2013
eng
In this paper,~some results on finite dimensional generating spaces of quasi-norm family are established.~The idea of equivalent quasi-norm families is introduced.~Riesz lemma is established in this space.~Finally,~we re-define B-S fuzzy norm and prove that it induces a generating space of quasi-norm family.
Iranian Journal of Fuzzy Systems
University of Sistan and Baluchestan
1735-0654
10
v.
5
no.
2013
113
125
http://ijfs.usb.ac.ir/article_1210_f5fe0801395b1d9675affeff2ff1f501.pdf
dx.doi.org/10.22111/ijfs.2013.1210
Categories isomorphic to the category of $L$-fuzzy closure system spaces
Fu-Gui
Shi
School of Mathematics, Beijing Institute of Technology, 5 South Zhong-
guancun Street, Haidian District, 100081 Beijing, P.R. China
author
Bin
Pang
School of Mathematics, Beijing Institute of Technology, 5 South Zhong-
guancun Street, Haidian District, 100081 Beijing, P.R. China
author
text
article
2013
eng
In this paper, new definitions of $L$-fuzzy closure operator, $L$-fuzzy interior operator, $L$-fuzzy remote neighborhood system, $L$-fuzzy neighborhood system and $L$-fuzzy quasi-coincident neighborhood system are proposed. It is proved that the category of $L$-fuzzy closure spaces, the category of $L$-fuzzy interior spaces, the category of $L$-fuzzy remote neighborhood spaces, the category of $L$-fuzzy quasi-coincident neighborhood spaces, the category of $L$-fuzzy neighborhood spaces are all isomorphic to the category $L$-{\bf FCS} of $L$-fuzzy closure system spaces.
Iranian Journal of Fuzzy Systems
University of Sistan and Baluchestan
1735-0654
10
v.
5
no.
2013
127
146
http://ijfs.usb.ac.ir/article_1213_c0c65f0dec93dbcbf9391ecf90ae2d95.pdf
dx.doi.org/10.22111/ijfs.2013.1213
Further study on $L$-fuzzy Q-convergence structures
Bin
Pang
School of Mathematics, Beijing Institute of Technology, 5 South Zhong-
guancun Street, Haidian District, 100081 Beijing, P.R. China
author
text
article
2013
eng
In this paper, we discuss the equivalent conditions of pretopological and topological $L$-fuzzy Q-convergence structures and define $T_{0},~T_{1},~T_{2}$-separation axioms in $L$-fuzzy Q-convergence space. {Furthermore, $L$-ordered Q-convergence structure is introduced and its relation with $L$-fuzzy Q-convergence structure is studied in a categorical sense}.
Iranian Journal of Fuzzy Systems
University of Sistan and Baluchestan
1735-0654
10
v.
5
no.
2013
147
164
http://ijfs.usb.ac.ir/article_1236_e08b6909103a69198ce3458da3606ed8.pdf
dx.doi.org/10.22111/ijfs.2013.1236
Persian-translation vol. 10, no. 5, October 2013
text
article
2013
eng
Iranian Journal of Fuzzy Systems
University of Sistan and Baluchestan
1735-0654
10
v.
5
no.
2013
167
175
http://ijfs.usb.ac.ir/article_2701_96cf710bfbc45e4e40e3e9e463b1b3d1.pdf
dx.doi.org/10.22111/ijfs.2013.2701