Improving the efficiency of dynamic routing problem on road network is a difficult .There is numerous works proposed for this problem and they try to solve this in different aspects. Most of the existing routing problem based on static approach. In this paper, we propose a fuzzy Dijkstra’s shortest path algorithm based on dynamic approach. The linguistic variables that qualify user parameters a...

processes characterizing uncertainties needs the creating of the proper knowledge base for the controller. In this paper, to solve this problem the integration of fuzzy set theory and wavelet neural network (WNN) is considered. The structure and operation algorithms of fuzzy WNN based controller are presented. Using gradient method the learning of fuzzy WNN is performed to find optimal values o...

To enhance the evaluation of the reliability recently featured many of the approaches linking the probability and fuzzy logic, the multi agent system can provide a connection between fuzzy logic and probability. In this article represents a new application of multi-agent model for evaluating the reliability indices of generation power system. Using agents of the probability for determining capa...

Semi-active Fuzzy control of quarter car system having three degrees of freedom and assembled with magnetorheological (MR) shock absorber is studied in present paper. First, experimental work was performed on an MR shock absorber under different excitation conditions to obtain force-displacement and force-velocity curves. Then, for the application of experimental data in semi-active quarter car...

This paper gives the structure optimization of fuzzy control systems based on genetic algorithm in the MATLAB environment. The genetic algorithm is a powerful tool for structure optimization of the fuzzy controllers, therefore, in this paper, integration and synthesis of fuzzy logic and genetic algorithm has been proposed. The genetic algorithms are applied for fuzzy rules set, scaling factors ...

Abstract A fuzzy EOQ model with backorders is considered in which the costs like setup, holding and penalty price are assumed as triangular FN (fuzzy numbers). Graded mean integration approach more simple accurate employed to defuzzify cost functions. The illustrated numerical examples compute optimal values.

The main purpose of this paper is to develop an integrated fuzzy technique for order preference by similarity to ideal solution (TOPSIS) method to improve the quality of decisionmaking for ranking alternatives. The proposed fuzzy TOPSIS method mainly accounts for the classification of criteria, the integrated weights of criteria and sub-criteria, and the performance values of decision matrix. I...

Fourth party logistics (4PL) company plays the role of integrator, which provides both information technology and supply chain integration capabilities. It not only creates different values of each segment in the supply chain, but also elevates the effects in supply chain management for business. Therefore, how to select an appropriate fourth party logistics company is an important decision for...

Value stream mapping (VSM) is a method to identify waste and activities that do not add value. One of its main disadvantages the parameters used in process material flows are deterministic. The motivation this research improve reliability estimation lead time VSM, transitioning from static model dynamic incorporates uncertainty imprecision data, as well develop novel fuzzy value (DFVSM) based o...

Causal map integration is helpful to broaden group member’s eyesight and sheds insight on the detection of overall group’s cognition tendencies. However the existing causal map integration approaches are either based on human intervention mechanism that is criticized with researcher bias, or based on syntactic mechanism that lacks of semantic. In order to improve the current causal map integrat...