A fuzzy cognitive map is a graphical means of representing arbitrary complex models of interrelations between concepts. The purpose of this paper is to describe a dynamic/adaptive fuzzy cognitive map based on the random neural network model. Previously, we have developed a random fuzzy cognitive map and illustrated its application in the modeling of processes. The adaptive fuzzy cognitive map c...

One of the objectives of the authors’ studies on the monitoring of agricultural practices is to deal with imperfect spatial and quantitative information, and to always associate a quality evaluation with acquired or computed data from each location in the territory being studied. In order to produce quantitative information for each location and to consider the imprecision of data, this paper i...

In the presence of fuzzy or linguistic and dynamic variables, dynamic modeling of real-world systems is a challenge to many decision makers. In such environments with fuzzy time-dependent variables, the right decisions and the impacts of possible actions are not precisely known. The presence of linguistic variables in a dynamic environment is a serious cause for concern to most practicing decis...

This paper presents a mathematical model for dynamic decision making with an objective function induced from fuzzy preferences. The fuzzy preference is related to decision making in artificial intelligence, and this paper models human behavior based on his fuzzy preferences. A reasonable criterion based on fuzzy preferences is formulated for the dynamic decision making, and an optimality equati...

One of the main challenges for transportation engineers is the consideration of pedestrian safety as the most vulnerable aspect of the transport system. In many countries around the world, a large number of accidents recorded by the police are composed of accidents involving pedestrians and vehicles, for example when pedestrians may be struck by passing vehicles when crossing the street. Carefu...

Utilizing the design technique of “parallel distributed compensation”(PDC), model-based fuzzy controllers are designed for both continuous-time and discrete-time dynamic fuzzy models. The stability analysis for this class of dynamic fuzzy models is studied in this paper. New stability conditions for this class of dynamic fuzzy models are presented respectively. On comparison with the existing r...

The main purpose of this paper is to present a fuzzy multi-criteria decision making (FMCDM) model for international tourist hotel location selection. In this article we created 21 criteria for selecting the international tourist hotel location acquired from literatures review and practical investigations. And the methods of fuzzy set theory, linguistic value, hierarchical structure analysis, an...

future increase of mobile communication subscribers will require a great capacity expansion of the cellular systems. in order to accommodate the increasing number of subscribers, the cell size will have to be much smaller than current size. therefore, it is predictable that the location updating and paging procedures will produce a major part of signaling traffic in these networks. this pape...

A fuzzy queuing coherent hierarchical location-allocation model is developed for congested systems. The parameters of the model are approximately evaluated and stated as fuzzy-numbers. The coverage of demand nodes is also considered in an approximate manner and is stated by the degree of membership. Using the queuing theory and fuzzy conditions, a coherent hierarchical model is developed for th...

This paper deals with the use of fuzzy logic and dynamic programming in the detection of cardiac contours in MR Images. The definition of two parameters for each pixel allows the construction of the fuzzy set of the cardiac contour points. The first parameter takes into account the grey level, and the second the presence of an edge. A corresponding fuzzy matrix is derived from the initial image...