In this paper, we study I-fuzzy bi-matrix games with I-fuzzy goals. The indeterminacy factor in the I-fuzzy goal of each player is resolved using the Hurwicz optimism-pessimism rule. As a result, such an I-fuzzy bi-matrix game reduces to solving a fuzzy optimization problem with S-shaped membership functions. The latter problem is equivalently converted into its crisp counterpart using the conv...

Along with the advantages that the fuzzy control system has brought to improvements on the active queue management mechanism, there still exists some shortcomings such as the design and optimization of the fuzzy system require some experiences in controlling subjects. On the other hand, for the fuzzy controller to work well, it should have the parameters (the number of fuzzy sets in each langua...

Abstract This paper considers the economic production quantity (EPQ) problem with backorder in which the setup cost, the holding cost and the backorder cost are characterized as fuzzy variables, respectively. Following expected value criterion and chance constrained criterion, a fuzzy expected value model (EVM) and a chance constrained programming (CCP) model are constructed. Then fuzzy simulat...

A special method for fuzzy-logic-based system modeling is presented to develop multi-variable fuzzy models on the basis of the system's measured input and output data. The global modeling problem is proposed to be solved in two steps: by fuzzy model connguration and fuzzy model identiication. The fuzzy model connguration procedure is characterized by preliminary considerations leading to the de...

As the control system of the ship's crane is nonlinear , time-varying and large inertia, the traditional way to control is difficult to achieve control requirements. The text have the deck crane’ electro-hydraulic proportional valve as the research object, use the way of optimizing input’s fuzzy domain which called variable domain fuzzy PID, to solve the weakness of traditional control and brin...

Abstract: Although the general sliding mode control has the robust property, bounds on the disturbances and parameter variations should be known a priori to the designer of the control system. Fuzzy logic provides an effective way to design a controller of the system with disturbances and parameter variations. Therefore, combination of the best feature of the fuzzy logic control and the sliding...

In this paper a network comprising alternative branching nodes with probabilistic outcomes is considered. In other words, network nodes are probabilistic with exclusive-or receiver and exclusive-or emitter. First, an analytical approach is proposed to simplify the structure of network. Then, it is assumed that the duration of activities is positive trapezoidal fuzzy number (TFN). This paper com...

FLAS (Fuzzy Linear Adaptive System) is a self-organizing fuzzy system for non-linear function identification, that uses a learning method based on clustering to generate fuzzy rules and tune their parameters. This method reduces the influence of pattern presentation order permits building prototypes with physical meaning, allows measuring the importance of each variable, and therefore reduces t...