@Article{,
author="",
title="Cover Special Issue vol. 8, no. 4, October 2011",
journal="Iranian Journal of Fuzzy Systems",
year="2011",
volume="8",
number="4",
pages="0-",
abstract="",
issn="1735-0654",
doi="10.22111/ijfs.2011.2868",
url="http://ijfs.usb.ac.ir/article_2868.html"
}
@Article{Yang2011,
author="Yang, Xiaohu",
title="SOME PROPERTIES FOR FUZZY CHANCE CONSTRAINED
PROGRAMMING",
journal="Iranian Journal of Fuzzy Systems",
year="2011",
volume="8",
number="4",
pages="1-8",
abstract="Convexity theory and duality theory are important issues in math-
ematical programming. Within the framework of credibility theory, this paper
rst introduces the concept of convex fuzzy variables and some basic criteria.
Furthermore, a convexity theorem for fuzzy chance constrained programming
is proved by adding some convexity conditions on the objective and constraint
functions. Finally, a duality theorem for fuzzy linear chance constrained pro-
gramming is proved.",
issn="1735-0654",
doi="10.22111/ijfs.2011.305",
url="http://ijfs.usb.ac.ir/article_305.html"
}
@Article{Mahdavi2011,
author="Mahdavi, Iraj
and Mahdavi-Amiri, Nezam
and Nejati, Shahrbanoo",
title="ALGORITHMS FOR BIOBJECTIVE SHORTEST PATH
PROBLEMS IN FUZZY NETWORKS",
journal="Iranian Journal of Fuzzy Systems",
year="2011",
volume="8",
number="4",
pages="9-37",
abstract="We consider biobjective shortest path problems in networks with
fuzzy arc lengths. Considering the available studies for single objective shortest
path problems in fuzzy networks, using a distance function for comparison of
fuzzy numbers, we propose three approaches for solving the biobjective prob-
lems. The rst and second approaches are extensions of the labeling method to
solve the single objective problem and the third approach is based on dynamic
programming. The labeling methods usually producing several nondominated
paths, we propose a fuzzy number ranking method to determine a fuzzy short-
est path. Illustrative examples are worked out to show the eectiveness of our
algorithms.",
issn="1735-0654",
doi="10.22111/ijfs.2011.306",
url="http://ijfs.usb.ac.ir/article_306.html"
}
@Article{Yang2011,
author="Yang, Lixing
and Li, Xiang
and Gao, Ziyou
and Li, Keping",
title="A FUZZY MINIMUM RISK MODEL FOR THE RAILWAY
TRANSPORTATION PLANNING PROBLEM",
journal="Iranian Journal of Fuzzy Systems",
year="2011",
volume="8",
number="4",
pages="39-60",
abstract="The railway transportation planning under the fuzzy environment
is investigated in this paper. As a main result, a new modeling method, called
minimum risk chance-constrained model, is presented based on the credibility
measure. For the convenience ofs olving the mathematical model, the crisp
equivalents ofc hance functions are analyzed under the condition that the
involved fuzzy parameters are trapezoidal fuzzy variables. An approximate
model is also constructed for the problem based on an improved discretization
method for fuzzy variables and the relevant convergence theorems. To
obtain an approximate solution, a tabu search algorithm is designed for the
presented model. Finally, some numerical experiments are performed to show
the applications ofthe model and the algorithm.",
issn="1735-0654",
doi="10.22111/ijfs.2011.307",
url="http://ijfs.usb.ac.ir/article_307.html"
}
@Article{Qin2011,
author="Qin, Zhongfeng
and Wen, Meilin
and Gu, Changchao",
title="MEAN-ABSOLUTE DEVIATION PORTFOLIO SELECTION
MODEL WITH FUZZY RETURNS",
journal="Iranian Journal of Fuzzy Systems",
year="2011",
volume="8",
number="4",
pages="61-75",
abstract="In this paper, we consider portfolio selection problem in which
security returns are regarded as fuzzy variables rather than random variables.
We first introduce a concept of absolute deviation for fuzzy variables and
prove some useful properties, which imply that absolute deviation may be
used to measure risk well. Then we propose two mean-absolute deviation
models by defining risk as absolute deviation to search for optimal portfolios.
Furthermore, we design a hybrid intelligent algorithm by integrating genetic
algorithm and fuzzy simulation to solve the proposed models. Finally, we
illustrate this approach with two numerical examples.",
issn="1735-0654",
doi="10.22111/ijfs.2011.308",
url="http://ijfs.usb.ac.ir/article_308.html"
}
@Article{Li2011,
author="Li, Xiang
and Ralescu, Dan
and Tang, Tao",
title="FUZZY TRAIN ENERGY CONSUMPTION MINIMIZATION
MODEL AND ALGORITHM",
journal="Iranian Journal of Fuzzy Systems",
year="2011",
volume="8",
number="4",
pages="77-91",
abstract="Train energy saving problem investigates how to control train's
velocity such that the quantity of energy consumption is minimized and some
system constraints are satis ed. On the assumption that the train's weights
on different links are estimated by fuzzy variables when making the train
scheduling strategy, we study the fuzzy train energy saving problem. First, we
propose a fuzzy energy consumption minimization model, which minimizes the
average value and entropy of the fuzzy energy consumption under the maximal
allowable velocity constraint and traversing time constraint. Furthermore, we
analyze the properties of the optimal solution, and then design an iterative
algorithm based on the Karush-Kuhn-Tucker conditions. Finally, we illustrate
a numerical example to show the effectiveness of the proposed model and
algorithm.",
issn="1735-0654",
doi="10.22111/ijfs.2011.309",
url="http://ijfs.usb.ac.ir/article_309.html"
}
@Article{FakharzadehJahromi2011,
author="Fakharzadeh Jahromi, Alireza
and Bozorg, Omolbanin
and Maleki, Hamidreza
and Mosleh-Shirazi, Mohamad Amin",
title="FLUENCE MAP OPTIMIZATION IN INTENSITY MODULATED
RADIATION THERAPY FOR FUZZY TARGET DOSE",
journal="Iranian Journal of Fuzzy Systems",
year="2011",
volume="8",
number="4",
pages="93-105",
abstract="Although many methods exist for intensity modulated radiotherapy (IMRT) fluence map optimization for crisp data, based on clinical practice, some of the involved parameters are fuzzy. In this paper, the best fluence maps for an IMRT procedure were identifed as a solution of an optimization problem with a quadratic objective function, where the prescribed target dose vector was fuzzy. First, a defuzzyingprocedure was introduced to change the fuzzy model of the problem into an equivalent non-fuzzy one. Since the solution set was nonconvex, the optimal solution was then obtained by performing a projection operation in applying the gradient method. Numerical simulations for two typical clinical cases (for prostate and head-and-neck cancers, each for two patients) are given.",
issn="1735-0654",
doi="10.22111/ijfs.2011.310",
url="http://ijfs.usb.ac.ir/article_310.html"
}
@Article{Gao2011,
author="Gao, Jinwu
and Zhang, Q.
and Shen, P.",
title="COALITIONAL GAME WITH FUZZY PAYOFFS AND
CREDIBILISTIC SHAPLEY VALUE",
journal="Iranian Journal of Fuzzy Systems",
year="2011",
volume="8",
number="4",
pages="107-117",
abstract="Coalitional game deals with situations that involve cooperations among players, and there are different solution concepts such as the core,the Shapley value and the kernel. In many situations, there is no way to predict the payoff functions except for the expert experiencesand subjective intuitions, which leads to the coalitional game with fuzzy payoffs. Within the framework of credibility theory, this paper employstwo credibilistic approaches to define the behaviors of players under fuzzy situations. Correspondingly, two variations of Shapley value areproposed as the solutions of the coalitional game with fuzzy payoffs. Meanwhile, some characterizations of the credibilistic Shapley valueare investigated. Finally, an example is provided for illustrating the usefulness of the theory developed in this paper.",
issn="1735-0654",
doi="10.22111/ijfs.2011.311",
url="http://ijfs.usb.ac.ir/article_311.html"
}
@Article{,
author="",
title="Persian-translation vol. 8, no. 4, October 2011",
journal="Iranian Journal of Fuzzy Systems",
year="2011",
volume="8",
number="4",
pages="121-127",
abstract="",
issn="1735-0654",
doi="10.22111/ijfs.2011.2869",
url="http://ijfs.usb.ac.ir/article_2869.html"
}