The Infona portal uses cookies, i.e. strings of text saved by a browser on the user's device. The portal can access those files and use them to remember the user's data, such as their chosen settings (screen view, interface language, etc.), or their login data. By using the Infona portal the user accepts automatic saving and using this information for portal operation purposes. More information on the subject can be found in the Privacy Policy and Terms of Service. By closing this window the user confirms that they have read the information on cookie usage, and they accept the privacy policy and the way cookies are used by the portal. You can change the cookie settings in your browser.
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 consider a Hopfield neural networks with a general distribution of delays which is transformed to two-dimensional ordinary differential equations (ODE) system. We study the equivalent two dimensional ODE system and obtain necessary conditions guarantee one-codimension bifurcation in our model.
This study proposes a novel technique for solving linear programming problems in a fully fuzzy environment. A modified version of the well-known dual simplex method is used for solving fuzzy linear programming problems. The use of a ranking function together with the Gaussian elimination process helps in solving linear programming problems in a fully uncertain environment. The proposed algorithm is...
In this paper, we use the definition of fuzzy metric spaces given by Kramosil, Michalek and provide two types of fuzzy versions of contraction. Moreover, we show that these mappings necessarily have fixed points in fuzzy metric spaces.
In this paper, we consider a partial differential equation (PDE) governing panel motion in supersonic flow. This PDE can be transformed to an ODE by means of a neural network method. Our aim is to study dynamics of the transformed system near the origin as the parameters are varying.
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...
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...
In this paper, we introduce concepts of fuzzy n-fold integral ideals in BL-algebras and we state and prove several property of fuzzy n-fold integral ideals. Using a level subset of a fuzzy set in a BL-algebra, we give characterization of fuzzy n-fold integral ideals. Also, we prove that the homomorphic image and preimage of fuzzy n-fold integral ideals are fuzzy n-fold integral ideals.
The study of hyperstructures connected with fuzzy sets represents a growing and new line of research spanning over the last twenty years. The starting point of this contribution is the connection between hypergroupoids and fuzzy sets established by Corsini he has associated a join space with a fuzzy set and then a fuzzy set with a hypergroupoid, constructing a sequence of join spaces and fuzzy sets,...
The computational complexities in Gaussian type-2 fuzzy sets (GT2FSs) are main obstacles to apply these sets to modeling high order uncertainties. To model a Gaussian uncertainty this paper introduces a new representation named 3uFunction for GT2FSs. This representation is a development of 2uFunction representation. In fact, it is based on a Hierarchical Fuzzy Convolution (HFC) and consists of two...
In this paper, we introduce concepts of fuzzy n-fold Boolean ideals in BL-algebras and we state and prove several property of fuzzy n-fold Boolean ideals. Using a level subset of a fuzzy set in a BL-algebra, we give characterization of fuzzy n-fold Boolean ideals. Also, we prove that the homomorphic image and preimage of fuzzy n-fold Boolean ideals are fuzzy n-fold Boolean ideals. Finally, we study...
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 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...
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.
Set the date range to filter the displayed results. You can set a starting date, ending date or both. You can enter the dates manually or choose them from the calendar.