CELL PRESERV TECHNOL

在决策支持系统中发表的文章的共同主线是它们与支持增强决策的理论和技术问题的相关性。所涉及的领域可能包括决策支持系统(DSSs)的基础、功能、接口、实现、影响和评估。手稿可能来自不同的方法和方法，包括决策理论、经济学、计量经济学、统计学、计算机支持的合作工作、数据库管理、语言学、管理学、数学建模、运营管理、认知科学、心理学、用户界面管理等。但是，应将一份侧重于对这些有关领域的任何直接贡献的稿件提交给适合该特定领域的机构。适合于决策支援系统的研究课题包括:1. 决策支持系统的基础，例如增强决策的原则、概念和理论;支持改进决策的正式语言和研究方法。认真对待理论验证是很重要的。2. 决策支持系统的功能，例如开发增强决策功能方面的方法、工具和技术;DSSs中的求解器、模型和/或数据管理;DSSs规则的制定与管理DSS的开发和使用，在计算机支持的合作工作，谈判，研究和产品。3.DSS接口，例如设计和开发DSS接口的方法、工具和技术;在决策支持系统中开发、管理和展示知识;DSS接口与其功能的协调。4. DSS实施- DSS开发和利用的经验;DSS管理和更新;DSS指导/培训。关键的考虑必须是具体的经验如何提供更广泛的含义。5. DSS评估和影响，例如评估指标和过程;决策支持系统对决策者、组织过程和绩效的影响。

The common thread of articles published in Decision Support Systems is their relevance to theoretical and technical issues in the support of enhanced decision making. The areas addressed may include foundations, functionality, interfaces, implementation, impacts, and evaluation of decision support systems (DSSs). Manuscripts may draw from diverse methods and methodologies, including those from decision theory, economics, econometrics, statistics, computer supported cooperative work, data base management, linguistics, management science, mathematical modeling, operations management, cognitive science, psychology, user interface management, and others. However, a manuscript focused on direct contributions to any of these related areas should be submitted to an outlet appropriate to the specific area.Examples of research topics that would be appropriate for Decision Support Systems include the following:1. DSS Foundations e.g. principles, concepts, and theories of enhanced decision making; formal languages and research methods enabling improvements in decision making. It is important that theory validation be carefully addressed.2. DSS Functionality e.g. methods, tools, and techniques for developing thefunctional aspects of enhanced decision making; solver, model, and/or data management in DSSs; rule formulation and management in DSSs; DSS development and use in computer supported cooperative work, negotiation, research and product.3. DSS Interfaces e.g. methods, tools, and techniques for designing and developing DSS interfaces; development, management, and presentation of knowledge in a DSS; coordination of a DSS's interface with its functionality.4. DSS Implementation - experiences in DSS development and utilization; DSS management and updating; DSS instruction/training. A critical consideration must be how specific experiences provide more general implications.5. DSS Evaluation and Impact e.g. evaluation metrics and processes; DSS impact on decision makers, organizational processes and performance.