Narrow Results

In this paper we define the following definition which is a natural combination of the definition for asymptotically equivalent and lacunary statistical convergence of fuzzy numbers. The two sequences of fuzzy numbers X = (X_k), and Y = (Y_k) of fuzzy numbers are said to be asymptotically lacunary statistical equivalent of multiple L provided that for every ∊ > 0

This paper establishes a novel environmental/economic load dispatch model in which the cost and emission functions are with uncertain coefficients. To solve the problem, this study first converts the model into a single objective optimization problem by using a novel weighting ideal point method. A hybrid genetic algorithm with quasi-simplex techniques is then developed to solve the corresponding single objective optimization problem. Fuzzy number ranking method is also applied to compare all fuzzy function values of different points for the single objective function. The test results have convinced the validity of the model and effectiveness of the algorithm used for achieving a solution for the economic dispatch problem.

Understanding a situation requires integrating many pieces of information which can be obtained by a group of data collectors from multiple data sources. Uncertainty is involved in situation assessment. How to integrate multi-source multi-member uncertain information to derive situation awareness is an important issue in supporting decision making for crisis problems. The study focuses on how uncertain situation information is presented, integrated and finally how situation awareness information is derived. A multi-sources team information integration approach is developed in the study to support a team's assessment for a situation in an uncertain environment. A numerical example is then shown for illustrating the proposed approach.

Joint Commission International (JCI) has been dedicated to improving the quality and safety of health care services. Today, the largest certification body of health care organizations in the United States, the Joint Commission surveys nearly 20,000 health care programs through a voluntary accreditation process. The Joint Commission is a none-profit organization. The JCI continuously improves the safety and quality of care in the international community through the provision of education and international accreditation. The JCI standard contains different subjects such as Prevention of Infection, Patient and Family Rights, Leadership, Facility Management, Safety.

Clients do not always appreciate differences among JCI consultants. This paper aims to provide an analytical tool to select the best JCI consultant providing the most customer satisfaction. The clients of three Turkish JCI consultancy firms were interviewed and the most important criteria taken into account by the clients while they were selecting their consultancy firms were determined by a designed questionnaire. The fuzzy analytic hierarchy process was applied to compare these consultancy firms. The means of the triangular fuzzy numbers produced by the customers and experts for each comparison were successfully used in the pair wise comparison matrices.

In this paper, we proposed a model for selection of the most suitable city for a new nuclear power plant in Turkey by using fuzzy analytical hierarchy process and fuzzy analytical network process due to linguistic terms. The implementation of the system is demonstrated by a problem having four stages of hierarchy which contains four criteria and twenty attributes. The study compares the fuzzy analytic hierarchy process and fuzzy analytic network process results.

Recently the notion of Quaternion Fuzzy Numbers (QFN) was introduced in the literature [1]. The Quaternion Algebra provides applications in many fields, like the representation of rotation and translation of a rigid body in three-dimensional space. The purpose of this paper is to briey present the Quaternion Gradual Number (QGN) concept introduced in [2] and shown as the α-cut set of QFN can be represented by these numbers.

In this work we propose a Mamdani fuzzy controller based on a fuzzy rule base whose fuzzy rules represent economic rules inspired by the Goodwin model. This model describes the dynamical interaction between the distribution of income and the employment level in the economy. Computational simulations reveal that the numerical solution of the proposed (p-fuzzy) system produces increasing cycles similar to those of the classical the Goodwin model. Finally, we discuss the capability of the p-fuzzy approach as approximator and we apply this methodology using historical economic data from Germany.

We analyze the behavior of the solutions for initial value problems associated to certain fuzzy differential equations, paying special attention to its advantages and disadvantages in relation with the modelization of real phenomena subject to uncertainty and comparing the results obtained with the corresponding results in the ordinary case.

Probabilistic safety assessment in nuclear power plants (NPPs) greatly considers plant safety and optimal plant design. Plant specific data are usually recommended to analyze safety in NPPs. However, such NPP specific data are not always available in practice. This paper presents an approach by combining fuzzy numbers and expert justification to assess an NPP probabilistic failure rate in the absence of statistical data. The proposed approach illustrates a case study for high pressure core spray systems of boiling water reactors.

In this paper, we introduce the concept of fuzzy preunivex functions from Rⁿ to the set of fuzzy numbers. Those functions are more general than convex fuzzy functions and fuzzy preinvex functions. Some properties are obtained for fuzzy preunivex functions and their properties are studied.