Fuzzy modelling of static system optimum traffic assignment problem having multi origin-destination pair

Traffic congestion is an unpreventable problem to avoid in a transportation network and it has negative effects on traffic accident, time wasting, traffic delay and safety problem. Besides, in transportation networks, drivers do not want to deal with traffic jam while traversing between specified origin-destination pair. Therefore, traffic assignment (TA) is imperative to improve traffic management, transportation safety, time, and cost savings. System Optimum Traffic Assignment Problem (SOTAP) is a kind of TA model which aims to minimize the total system travel time on the network, and satisfies the flow conservation constraints. To model the SOTAP more realistically, the imprecise parameters can be taken as fuzzy. Therefore, in this paper, we focus on converting the conventional SOTAP to a fuzzy quadratic programming problem (QPP) which is named System Optimum Fuzzy Traffic Assignment Problem (SOFTAP). Here, link travel time is expressed with BPR function as generally used in the literature by converting to fuzzy except link-dependent parameters. Thus, the nonlinear objective function of SOFTAP is expressed in terms of fuzzy link flows and fuzzy link travel times. A solution approach from the literature is modified to the reconstructed SOFTAP.     

Best classification algorithms in peer-to-peer lending

A proper credit scoring technique is vital to the long-term success of all kinds of financial institutions, including peer-to-peer (P2P) lending platforms. The main contribution of our paper is the robust ranking of 10 different classification techniques based on a real-world P2P lending data set. Our data set comes from the Lending Club covering the 2009–2013 period, which contains 212,252 records and 23 different variables. Unlike other researchers, we use a data sample which contains the final loan resolution for all loans. We built our research using a 5-fold cross-validation method and 6 different classification performance measurements. Our results show that logistic regression, artificial neural networks, and linear discriminant analysis are the three best algorithms based on the Lending Club data. Conversely, we identify k-nearest neighbors and classification and regression tree as the two worst classification methods.     

基于模糊意见集中排序法的建筑工程资格预审

建筑工程资格预审无论对业主还是对承包商都至关重要，根据建筑工程的特点，在目前普遍采用的资格预审评价方法的基础之上，总结了进行资格预审的评价指标体系，并提出了基于模糊数学意见集中排序法的建筑工程资格预审方法。     

企业知识管理绩效综合评价案例研究

知识管理是现代企业管理的重要内容。正确分析和评价企业的知识管理绩效，对于促进企业知识管理、提高企业知识管理水平以及增强企业竞争优势，具有重要的现实意义。文章构建了企业知识管理绩效评价的指标体系，并运用模糊综合评价模型对企业知识管理绩效进行了综合评价。     

烧结模糊控制系统的设计与实现

设计了一个烧结模糊控制系统，进而构建了一个基于模糊控制的自适应脉宽控制器，对煤气阀、换向阀开关时间进行控制；利用模糊控制器的模糊推理能力来实现煤气阀门开度在线调整，以达到优化控制的目的。运行结果表明，这种控制器与常规比值控制器相比可以取得较好的控制效果。     

Application of multi-factor hierarchical fuzzy comprehensive evaluation model in risk assessment of gas exploration

This article classified gas exploration risk on the basis of the characteristics of oil-gas exploration investment projects, which are internal systems risk and external non-systemic risk. It described each classification specifically and introduced the basic principles and mathematical model of the multi-factor hierarchical fuzzy comprehensive judgment in detail, and then researched the conducts the risk of the gas exploration with examples.     

航材保障中第三方物流企业的选择研究

应用层次分析方法的思想,从航材保障对第三方物流的要求制定了科学的评价指标体系。结合指标体系利用模糊评价方法,构建了对第三方物流企业的选择模型,对航材保障中的第三方物流企业做出基本的评价,提供了科学的选择方案。     

导游专业计算机教学中任务性学习的研究与实践

素质教育的一个重要部分就是学生综合应用能力及探究能力的培养。笔者针对导游专业的特点,在计算机基础教学中引入任务性学习方式,改善了教学效果,提高了该专业学生的计算机综合应用能力及自主探究能力。     

Probability theory in fuzzy sample spaces

This paper tries to develop a neat and comprehensive probability theory for sample spaces where the events are fuzzy subsets of The investigations are focussed on the discussion how to equip those sample spaces with suitable -algebras and metrics. In the end we can point out a unified concept of random elements in the sample spaces under consideration which is linked with compatible metrics to express random errors. The result is supported by presenting a strong law of large numbers, a central limit theorem and a Glivenko-Cantelli theorem for these kinds of random elements, formulated simultaneously w.r.t. the selected metrics. As a by-product the line of reasoning, which is followed within the paper, enables us to generalize as well as to bring together already known results and concepts from literature.Acknowledgement. The author would like to thank the participants of the 23rd Linz Seminar on Fuzzy Set Theory for the intensive discussion of the paper. Especially he is indebted to Professors Diamond and Höhle whose remarks have helped to get deeper insights into the subject. Additionally, the author is grateful to one anonymous referee for careful reading and valuable proposals which have led to an improvement of the first draft.This paper was presented at the 23rd Linz Seminar on Fuzzy Set Theory, Linz, Austria, February 5–9, 2002.     

基于AHP的模糊综合评价法在连锁经营伙伴选择中的应用

本文提出了加盟盟主对盟员选择的指标体系,并在此基础上应用基于AHP的模糊综合评价法对盟员进行评价。该方法不仅可以确定“准加盟者”的排序,而且可以确定各自的等级。