Catálogo de publicaciones - libros

QoS (Quality of Service) routing is a key network function for the transmission and distribution of digitized audio/video across next-generation high-speed networks. It has two objectives: finding routes that satisfy the QoS constraints and making efficient use of network resources. The complexity involved in the networks may require the consideration of multiple constraints to make the routing decision. In this paper, we propose a novel approach using fuzzy logic technique to QoS routing that allows multiple constraints to be considered in a simple and intuitive way. Simulation shows that this fuzzy routing algorithm is efficient and promising.

In this paper, fusion of the mechanism modeling and the fuzzy modeling, a component content soft-sensor, which is composed of the equilibrium calculation model for multi-component rare earth extraction and the error compensation model of fuzzy system, is proposed to solve the problem that the component content in countercurrent rare-earth extraction process is hardly measured on line. An industry experiment in the extraction Y process by HAB using this hybrid soft-sensor proves its effectiveness.

Product development process can be viewed as a set of subprocesses with stronger interrelated dependency relationships. In this paper, the quantitative and qualitative dependency measures of serial and parallel product development processes are analyzed firstly. Based on the analysis results, the process net is developed where the processes are viewed as nodes and the logic constraints are viewed as verges of the net. The fuzzy-logic-based reasoning mechanism is developed to reason the dependency relations between development processes in the case that there is no sufficient quantitative information or the information is fuzzy and imprecise. The results show that the proposed method can improve the reasoning efficiency, reduce the cost and complexity degree of process improvement, and make a fast response to the dynamic development environment.

A single machine scheduling problem with fuzzy precedence delays and fuzzy processing times is considered. A kind of precedence delays scheduling problem with special structure is investigated because general single machine scheduling problem with precedence delays is NP-hard. And the objective is to minimize the maximum complete time of all jobs.

This article proposes a network Quality of Service (QoS) system named Fuzzy-based Dynamic Bandwidth Allocation (FDBA) system which partitions network traffic into several channels and then recommends a suitable queuing strategy to network administrator so that user traffic and heterogeneous data packets of different classes can be properly multiplexed. Class Based Weight Fair Queuing (CBWFQ) is deployed as the congestion resolution mechanism. Markov Modulate Poisson Process (MMPP) is encompassed to model network traffic. Expectation Maximization is used to estimate MMPP parameters. Fuzzy is also invoked to calculate the bandwidth reserved for a channel. Reserving bandwidth guarantees the least network traffic, while declaring threshold of queue limit defines the priority of a class. A packet with higher priority will be delivered with higher probability. Moreover, FDBA can automatically tune its QoS parameters to adapt various network traffic, thus decreasing managerial load and providing user a higher network service quality.

Reliable localization is a fundamental issue in robot navigation techniques. This paper describes an apporach for realizing self-localization of mobile robot by matching the local map generated from a 2D laser scanner. Environment map is represented by occupancy grids and it fuses the information of the robot’s pose using dead-reckoning method and the range to obstacles by laser scanner using maximum likehood estimation. After a current laser scan, the positon of mobile robot, in relation to a previous scan and pose estimates, is computed by matching the local map using fuzzy logic method. The effectiveness of this method is demonstrated by experiments.

This article proposes a navigation technique based on fuzzy maps of the environment for real-time applications. Particularly choosing the right operator plays important role in obtaining good results rapidly and accurately for different kind of environments. Mainly, A algorithm is used for navigating the mobile robot in the fuzzy mapped environment defined by Yager Union operator. Experiments are implemented on Nomad 200 mobile robot successfully.

The business environment is full of uncertainties. Investing in various asset classes may lower the risk of overall portfolio and increase the potential for greater returns. In this paper, we propose a bi-objective mixed asset portfolio selection model involving projects as well as securities. Furthermore, based on fuzzy decision theory, a fuzzy mixed projects and securities portfolio selection model is also proposed. A numerical example is given to illustrate the behavior of the proposed fuzzy mixed asset portfolio selection model.

This paper describes a new communication load reduction method ontask negotiation with Contract Net Protocol (CNP) in a multi-agent system. For coordination the agents, the CNP is widely used during the problem solving. But its performance degrades drastically when communicating agents and tasks increase. In order to overcome this problem, Fuzzy Case Based Reasoning (FCBR) is used in CNP, it can reduce the scope of competitors and communication load on task negotiation, make a distinct improvement to the efficiency. At the same time, in FCBR system a new cases maintaining method based on time-serial is proposed in order to ensure a better cooperation between agents and adapt to higher flexibility of system. Experimental results show the performance of the protocol based on FCBR improves significantly.

Equilibrium programming (EP) is an active topic in mathematical programming. For the EP problem with the fuzzy optimal membership function in objectives and the penalty function in constraints, we propose a new fuzzy approach with simulated annealing algorithm to get the fuzzy optimal solution. The approach provides the decision-makers with a group of fuzzy optimal solutions on similarly fuzzy optimal grade, so that the equilibrium decision can be obtained easily and more reasonably. The numerical simulation of example demonstrates the feasibility and effectiveness of the approach.