2017-12-11T03:37:08Z
http://ijfs.usb.ac.ir/?_action=export&rf=summon&issue=75
Iranian Journal of Fuzzy Systems
IJFS
1735-0654
1735-0654
2007
4
2
Cover Vol.4 No.2, October 2007
2007
10
01
0
http://ijfs.usb.ac.ir/article_2908_ddbe99988aa5076a1f94305d5b4b0e4e.pdf
Iranian Journal of Fuzzy Systems
IJFS
1735-0654
1735-0654
2007
4
2
PRICING STOCK OPTIONS USING FUZZY SETS
James J.
Buckley
Esfandiar
Eslami
We use the basic binomial option pricing method but allow someor all the parameters in the model to be uncertain and model this uncertaintyusing fuzzy numbers. We show that with the fuzzy model we can, with areasonably small number of steps, consider almost all possible future stockprices; whereas the crisp model can consider only n + 1 prices after n steps.
Pricing Options
Binomial methods
Fuzzy numbers
2007
10
09
1
14
http://ijfs.usb.ac.ir/article_365_166ca7566fde953dc5de7ad3e33575c6.pdf
Iranian Journal of Fuzzy Systems
IJFS
1735-0654
1735-0654
2007
4
2
OPTIMIZATION OF LINEAR OBJECTIVE FUNCTION SUBJECT TO FUZZY RELATION INEQUALITIES CONSTRAINTS WITH MAX-AVERAGE COMPOSITION
ELYAS
SHIVANIAN
ESMAILE
KHORRAM
AMIN
GHODOUSIAN
In this paper, the finitely many constraints of a fuzzy relationinequalities problem are studied and the linear objective function on the regiondefined by a fuzzy max-average operator is optimized. A new simplificationtechnique which accelerates the resolution of the problem by removing thecomponents having no effect on the solution process is given together with analgorithm and a numerical example to illustrate the steps of the problemresolution process.
Linear objective function optimization
Fuzzy r e lation equations
Fuzzy
relation inequalities
2007
10
09
15
29
http://ijfs.usb.ac.ir/article_368_e3fec3b0627142fc215ec44c2ff81a1f.pdf
Iranian Journal of Fuzzy Systems
IJFS
1735-0654
1735-0654
2007
4
2
A NOTE ON THE ZIMMERMANN METHOD FOR SOLVING FUZZY LINEAR PROGRAMMING PROBLEMS
MOHAMMADREZA
SAFI
HAMIDREZA
MALEKI
EFFAT
ZAEIMAZAD
There are several methods for solving fuzzy linear programming (FLP)problems. When the constraints and/or the objective function are fuzzy, the methodsproposed by Zimmermann, Verdegay, Chanas and Werners are used more often thanthe others. In the Zimmerman method (ZM) the main objective function cx is addedto the constraints as a fuzzy goal and the corresponding linear programming (LP)problem with a new objective (λ ) is solved. When this new LP has alternative optimalsolutions (AOS), ZM may not always present the "best" solution. Two cases may occur:cx may have different bounded values for the AOS or be unbounded. Since all of theAOS have the same λ , they have the same values for the new LP. Therefore, unlesswe check the value of cx for all AOS, it may be that we do not present the bestsolution to the decision maker (DM); it is possible that cx is unbounded but ZMpresents a bounded solution as the optimal solution. In this note, we propose analgorithm for eliminating these difficulties.
Linear programming
Fuzzy set theory
Fuzzy linear programming and fuzzy
efficiency
2007
10
09
31
45
http://ijfs.usb.ac.ir/article_369_c50bd5faf59078df22d9c02d540aade9.pdf
Iranian Journal of Fuzzy Systems
IJFS
1735-0654
1735-0654
2007
4
2
LK-INTERIOR SYSTEMS AS SYSTEMS OF “ALMOST OPEN” L-SETS
Tatana
Funiokova
We study interior operators and interior structures in a fuzzy setting.We investigate systems of “almost open” fuzzy sets and the relationshipsto fuzzy interior operators and fuzzy interior systems.
Interior operator
Interior system
Fuzzy set
Fuzzy logic
2007
10
09
47
55
http://ijfs.usb.ac.ir/article_370_d6c63315b1797d8518b3230c75dedb5e.pdf
Iranian Journal of Fuzzy Systems
IJFS
1735-0654
1735-0654
2007
4
2
CHARACTERIZATION OF REGULAR $Gamma$−SEMIGROUPS THROUGH FUZZY IDEALS
P.
Dheena
S.
Coumaressane
Notions of strongly regular, regular and left(right) regular $Gamma$−semigroupsare introduced. Equivalent conditions are obtained through fuzzy notion for a$Gamma$−semigroup to be either strongly regular or regular or left regular.
$Gamma$−semigroup
Bi-ideal
Quasi-ideal
Regular
Strongly regular
Left(right) regular
Fuzzy (left
right)ideal
Fuzzy quasi-ideal
Fuzzy bi-ideal
2007
10
09
57
68
http://ijfs.usb.ac.ir/article_375_dbea687f85b19c156e13c580580b59e3.pdf
Iranian Journal of Fuzzy Systems
IJFS
1735-0654
1735-0654
2007
4
2
RESIDUAL OF IDEALS OF AN L-RING
ANAND SWAROOP
PRAJAPATI
The concept of right (left) quotient (or residual) of an ideal η by anideal ν of an L-subring μ of a ring R is introduced. The right (left) quotients areshown to be ideals of μ . It is proved that the right quotient [η :r ν ] of an idealη by an ideal ν of an L-subring μ is the largest ideal of μ such that[η :r ν ]ν ⊆ η . Most of the results pertaining to the notion of quotients(or residual) of an ideal of ordinary rings are extended to L-ideal theory ofL-subrings.
L-subring
L-ideal
Right quotient
Left quotient
2007
10
09
69
82
http://ijfs.usb.ac.ir/article_378_18e934871298c269162e4614b21f86e1.pdf
Iranian Journal of Fuzzy Systems
IJFS
1735-0654
1735-0654
2007
4
2
SOME PROPERTIES OF NEAR SR-COMPACTNESS
Shi-Zhong
Bai
In this paper, we study some properties of the near SR-compactnessin L-topological spaces, where L is a fuzzy lattice. The near SR-compactness isa kind of compactness between Lowen’s fuzzy compactness and SR-compactness,and it preserves desirable properties of compactness in general topologicalspaces.
L-topology
SS-remote neighborhood family
-net
Compactness
Near SR-compact L-subset
2007
10
09
83
87
http://ijfs.usb.ac.ir/article_379_273713dcd904c068e3e93be78892c8b4.pdf
Iranian Journal of Fuzzy Systems
IJFS
1735-0654
1735-0654
2007
4
2
COUNTABLY NEAR PS-COMPACTNESS IN L-TOPOLOGICAL SPACES
Shi-Zhong
Bai
In this paper, the concept of countably near PS-compactness inL-topological spaces is introduced, where L is a completely distributive latticewith an order-reversing involution. Countably near PS-compactness is definedfor arbitrary L-subsets and some of its fundamental properties are studied.
L-topology
Pre-semiclosed set
Remote-neighborhood
Countably
near PS-compact set
2007
10
09
89
94
http://ijfs.usb.ac.ir/article_381_a1cab2ee2db813cfbf1b688858d2b558.pdf
Iranian Journal of Fuzzy Systems
IJFS
1735-0654
1735-0654
2007
4
2
Persian-translation Vol.4 No.2, October 2007
2007
10
30
97
104
http://ijfs.usb.ac.ir/article_2909_61412a1a0bcf35f7346eb24d362cbd77.pdf