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Pacemaker is one of medical devices implanted in patients' bodies helping their health. It is important to certify accuracy and efficiency of the implanted device in all situations. If the device's software acts improperly, the patient's life will be threatened. As there may be a bug in the medical device's software, software verification is critical. Runtime software verification implies considering...
The purpose of the paper is introducing a new extension of fuzzy sets so-called hesitant fuzzy sets (HFSs) proposed by Torra, which deal with uncertainty and hesitation in real world problems. For instance, it is difficult to determine a certain membership value to assess a data satisfies a feature. Hesitant fuzzy set can be considered as an appropriate tool allowing several possible degrees for an...
In this paper we study some properties of fuzzy Lie algebras. In this regards we establish a relation between fuzzy Lie ideals of a given Lie algebra L with an additional condition and the set of all fuzzy Lie ideals of L/I, where I is an ideal of L. Also, we associate to every fuzzy subgroup a fuzzy Lie ring.
In this paper, we introduce a new definition for nilpotent fuzzy subgroups, which is called good nilpotent fuzzy subgroup or briefly g-nilpotent fuzzy subgroup. Since this is similar to group theory's definition so it is much more easier than before to study on properties of nilpotent fuzzy groups. Basically, we show that a group G is nilpotent if and only if any fuzzy subgroups of G is a g-nilpotent...
With the increasing usage of autonomous underwater vehicles in offshore applications, it has been important to have a controller that can satisfy a convincing performance throughout the mission. Due to non-linear and time varying dynamic, controlling this vehicle has some special difficulties. Modeling errors that may exist and Uncertainties which associated with the environment firstly evokes that...
In regression models normally, both of data and parameters are considered as crisp. But, in some cases, for improving the prediction, we need to prepare and use a regression model with imprecise coefficients. In this case the normal regression models are not suitable, so fuzzy regression can be fair replacement models. In this paper we consider the least square and least absolute deviation familiar...
Social network, as a new phenomenon, has opened new venues of research area in many sciences. Most studies on social networks require access to the data, which often contains sensitive information that needs to be anonymized before publication. One of such anonymized approaches is link privacy. A standard technique of link privacy is to probabilistically randomize the destination of a link in the...
Traffic Actuated Control (TAC) is widely used for signal control in isolated intersections. TAC is a responsible method for online traffic data. In TAC, green durations are dynamically determined based on online traffic data. These determinations are subject to predefined static parameters which do not respond to sudden traffic flow changes. One type of these parameters in TAC is maximum green time...
In real applications, there are situations that the performance of decision making units (DMUs) should be evaluated while imprecise and integer-valued inputs and/or outputs present. For this purpose, in the current paper, models and approaches are proposed to evaluate the efficiency of DMUs where fuzzy and integer-valued data exist. To illustrate, methods are suggested to solve some integer-valued...
TOPSIS method is a most useful tool for solving MADM problems, also, Choquet integral method is another powerful method which, is able to manage interaction criteria. In this paper, we combine both methods to use from their benefits. First, we will introduce a new method for computing the distance between IT2FSs. Then, we proposed a hybrid method based on TOPSIS and Choquet integral in fuzzy type-2...
In this paper, we introduce the notion of tense operators on pseudo MV-algebras and give some properties and related results. We also introduce the notions of tense filter and tense homomorphism in tense pseudo MV-algebras and give some homomorphism theorems.
A multi-objective linear programming problem with a system of max-arithmetic mean relational inequalities as its constraints is considered. For each of the objective functions, the decision maker has a fuzzy goal. Treating each fuzzy goal, two kind of membership functions are considered: linear and hyperbolic as a nonlinear one. Then, using membership functions and Bellman-Zadeh decision, the multi-objective...
It is known that vague models give more precision, flexibility and compatibility to the system as compare to the classic and fuzzy models. In this paper, we introduce homomorphism and weak isomorphism of neighborly irregular vague graphs. Density and balanced irregular vague graphs are defined. Finally, we show that every irregular vague graph which is complete is balanced.
Natural disasters such as earthquakes have a strong impact on communications systems. So, when disruption of communications happen, people cannot contact or help each other. In this paper is presented a multi-objective programming model by fuzzy coverage for the location or strengthening of cell phone towers so as to maximize service coverage and minimize the loss of communications if a natural disaster...
Now a Day, using distributed generators (DGs) as power generator resources in Distribution Networks, is growing increasingly. DG installation will cause many advantages such as power loss reduction, increasing reliability, improving voltage profile, power quality and etc. Therefore, proposing an optimal pattern for installing DGs, attracts lots of attention these days. This paper proposes an optimal...
Piezoelectric actuator is widely used in precision positioning mechanism for the advantages of ultra-high resolution, easy miniaturization, and rapid dynamic performance. But piezoelectricity material has nonlinear hysteresis effect. Due to this characteristic, accurate tracking is difficult to be achieved. In this paper, a model for piezoelectric actuator with hysteretic nonlinear model is developed...
Loss reduction planning is considered one of the most significant and sensitive distribution system designing studies. The planning process to reduce losses along with distributed generation sources results in a non-convex, non-linear optimization problem, mixed with integer variables, which requires complicated calculations. To solve this problem, evolutionary optimization algorithms can be used...
In this paper, artificial neural network (ANN) and improved binary gravitational search algorithm (IBGSA) are utilized to detect objects in images. Watershed algorithm is used to segment images and extract the objects. Color, texture and geometric features are extracted from each object. IBGSA is used as a feature selection method to find the best subset of features for classifying the desired objects...
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