Complex Systems and Dependability
Complex Systems and Dependability
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复杂系统和可靠性
DOI：
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发表时间：
2012
期刊：
影响因子：
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通讯作者：
J. Kacprzyk
中科院分区：
文献类型：
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作者：
W. Zamojski;J. Mazurkiewicz;J. Sugier;T. Walkowiak;J. Kacprzyk
典型的当代复杂系统是技术、信息、组织、软件和人力（用户、管理员和管理）资源的多方面融合。这种系统的复杂性不仅来自其所涉及的技术和组织结构，而且主要来自必须在业务环境中实施的信息流程的复杂性（数据处理，监控，管理等）。在这种情况下，传统的可靠性分析方法主要集中在技术水平通常是不够的性能评估和更创新的方法的可靠性分析必须应用的基础上，多学科的方法，理论，技术和维护系统运行在真实的（往往是不友好的）环境。这本专着介绍了选定的新发展等领域的可靠性研究系统建模，工具和方法的系统分析，数据安全，安全系统设计和具体的可靠性方面的专门技术应用。许多实际案例表明，系统过程的复杂性和多样性，其并发性及其对嵌入式智能（人类和人工）的依赖显着阻碍了严格的数学模型的构建，并呼吁应用智能和软计算方法的普遍规律。
Typical contemporary complex system is a multifaceted amalgamation of technical, information, organization, software and human (users, administrators and management) resources. Complexity of such a system comes not only from its involved technical and organizational structure but mainly from complexity of information processes that must be implemented in the operational environment (data processing, monitoring, management, etc.). In such case traditional methods of reliability analysis focused mainly on technical level are usually insufficient in performance evaluation and more innovative methods of dependability analysis must be applied which are based on multidisciplinary approach to theory, technology and maintenance of systems operating in real (and very often unfriendly) environments. This monograph presents selected new developments in such areas of dependability research as system modelling, tools and methodologies for system analysis, data security, secure system design and specific dependability aspects in specialized technical applications. Many practical cases illustrate the universal rule that complexity and multiplicity of system processes, their concurrency and their reliance on embedded intelligence (human and artificial) significantly impedes construction of strict mathematical models and calls for application of intelligent and soft computing methods.