山东省武术社团的发展现状及可持续发展的对策研究

运用问卷调查法、文献资料法对武术社团的概念进行界定，分析山东省武术社团的发展现状，结果发现：与跆拳道等社团相比，武术社团的管理、经费、指导员等因素的现状不容乐观，套路项目的前景令人堪忧．探讨武术社团可持续发展的对策，为武术运动的普及与提高提供参考．     

网络环境下企业竞争情报的收集

阐述了竞争情报的定义,讨论了网络环境下企业竞争情报收集的原则、途径和策略,指出应注重信息收集过程中的成本与效益,从而促进企业在激烈的竞争环境中更好地生存和发展。     

高校大学生开设武术散手课的分析与研究

通过随机问卷，资源查阅，对大学生参加体育项目的兴越进行调查，根据对调查结是要的比较研究，作者认为武术对抗性项目散手的学习对大学生具有独特的价值，大学开设武术对抗性项目具有必要性和可行性。     

Sequential Discrete p-Facility Models for Competitive Location Planning

Two new models for duopolistic competitive discrete location planning with sequential acting and variable delivered prices are introduced. If locations and prices are assumed to be set once and for all by the players, the resulting bilevel program is nonlinear. Under the assumption that further price adjustments are possible, i.e., that a Nash equilibrium in prices is reached, the model can be simplified to a linear discrete bilevel formulation. It is shown that in either situation players should not share any locations or markets if they strive for profit-maximization.For the situation with price adjustments, a heuristic solution procedure is suggested. In addition, the bilevel models are shown to serve as a basis from which different well-known location models – as, for example, the p-median problem, the preemptive location problem and the maximum covering problem – can be derived as special cases.     

武术选项课教学方法探讨

武术选项课大多是以套路形式进行教学的.教师在教学中应加强对学生武德教育和武术基本功训练,认真分析教材难点,采取多种教学方法,使学生能较快掌握武术"三基"和套路练习,增强体质,培养意志,提高竞争意识,养成自觉锻炼身体的习惯,达到终身受益的目的.     

由两种彼此完全交叉免疫的病毒导致的流行病模型

研究了一类带有竞争性的双致病毒的SIRS流行病模型,在假定完全交叉免疫和密度依赖死亡率的条件下得到了病毒间排他性的条件及疾病持续的条件.     

对我国武术运动现状的分析及前景展望

武术运动是我国的传统体育项目，今天，体育产业化在不断发展，武术要适应市场，才能在激烈的竞争环境中立足，健康顺利地发展并走向世界．笔者着重分析了武术运动的现状，以期为其未来的发展提供参考．     

相对于锥的合作或竞争系统的一个证明

利用图论知识结合归纳法,给出了一个系统在区域D中相对于某个锥Km是合作的还是竞争的等价于图G中的闭回路的“-”号边的个数为偶数还是奇数的证明。     

信息化时代旅游企业竞争优势战略探析

旅游业和信息技术相结合的旅游电子商务是旅游业信息化的高级形式,它已经成为信息化时代旅游企业竞争战略的重要手段。本文就旅游企业电子商务的竞争优势,提出了培育信息化经营理念和现代企业文化、开展信息化业务流程再造与重组,构建旅游企业内部组织竞争优势;发展区域网络虚拟集团、走专业化、个性化的竞争优势战略,构建企业外部市场竞争优势。     

An Interval-valued Fuzzy Competitive Neural Network

Because interval value is quite natural in clustering, an interval-valued fuzzy competitive neural network is proposed. Firstly, this paper proposes several definitions of distance relating to interval number. And then, it indicates the method of preprocessing input data, the structure of the network and the learning algorithm of the interval-valued fuzzy competitive neural network. This paper also analyses the principle of the learning algorithm. At last, an experiment is used to test the validity of the network.