Multiple Participant Decision Methods in Environmental Management

环境管理问题往往涉及多个利益相关者，他们往往有不同的目标和价值体系。提出的研究计划旨在发展多参与者决策技术，创造性地解决具有挑战性的环境管理问题。更具体地说，冲突解决图模型（GMCR）方法将得到显著扩展，计算机化系统将被设计用于支持和操作新开发的方法。在拟议的研究计划中，GMCR的进一步发展将在以下三个领域进行。首先，将根据最近的新发展，设计和发展解决冲突的新一代决策支持系统。其次，将设计基于GMCR的方法来建模和分析多个决策者在风险管理中的战略互动，从沟通到评估再到管理。第三，将开展研究，整合、调整和开发来自GMCR的解决方案概念，以便在基于代理的建模和仿真范式中使用。环境管理和其他领域的实际决策问题将被用作案例研究，以开发、测试和改进所调查的决策方法。在拟议的研究中开发的方法和工具可以被决策者、实践者和对可持续环境管理感兴趣的研究人员使用，这是加拿大社会面临的一个重大挑战。研究生将被训练创建多参与者决策技术，设计和实施决策支持系统，并将新的和改进的技术应用于复杂的环境管理问题。所接受的培训将为研究生在学术、研究、开发和咨询领域的职业生涯做好准备。本文的研究成果将对多参与者决策技术的理论和实践做出重要贡献。

Environmental management problems often involve multiple stakeholders, who often have different objectives and value systems. The proposed research program aims to develop multiple participant decision making techniques for creatively addressing challenging environmental management problems. More specifically, the Graph Model for Conflict Resolution (GMCR) methodology will be significantly expanded, and computerized systems will be designed to support and operationalize newly developed methods. Within the proposed research program, further development of GMCR will be carried out in the following three areas. First, a new generation of a decision support system for conflict resolution will be designed and developed based on recent new developments. Second, approaches based on GMCR will be devised to model and analyze strategic interactions among multiple decision makers in the management of risks, from communication to assessment to management. Third, research will be carried out to integrate, adapt, and develop solution concepts from GMCR for use within the agent-based modeling and simulation paradigm. Practical decision problems in environmental management and other areas will be utilized as case studies to develop, test, and improve the decision methods investigated. The methodologies and tools developed in the proposed research can be utilized by decision makers, practitioners, and researchers interested in sustainable environmental management, which is a significant challenge for the Canadian society. Graduate students will be trained to create multiple participant decision techniques, design and implement decision support systems, and apply the new and improved techniques to complex environmental management problems. The training received will prepare graduate students to pursue their careers in academia, research, development, and consulting. Results from the proposed research should significantly contribute to the theory and practice of multiple participant decision making techniques.