Multiple Participant Decision Approaches with Applications to Environmental Management

多参与者决策方法及其在环境管理中的应用

• 批准号: RGPIN-2017-04379
• 负责人: Fang, Liping
• 金额: $ 2.48万
• 依托单位: Ryerson University
• 依托单位国家: 加拿大
• 项目类别: Discovery Grants Program - Individual
• 财政年份: 2022
• 资助国家: 加拿大
• 起止时间: 2022-01-01 至 2023-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=759648
• 关键词: Multiple; Participant; Decision; Approaches; Applications

Environmental management problems often involve multiple stakeholders who usually 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 and developed to support and operationalize newly devised methods. GMCR, originally developed by the applicant and his co-workers, constitutes a unique methodology for formally modeling and analyzing real-world multiple participant-multiple objective decision making problems. A decision support system called GMCR II, which allows GMCR to be applied to real-world conflicts, has been developed and used to systematically investigate disputes arising in many different fields. Within the proposed research program, further advancement of GMCR will be carried out in the following three areas. First, a new generation of a decision support system for conflict resolution along with implementation algorithms will be designed and developed based on recent new developments. Second, techniques for analytically solving the inverse analysis problem in GMCR will be devised using methods and results in matrix algebra. Third, an agent-based framework for modeling and simulating competitive and cooperative behavior under conflict will be significantly expanded to study conditions for the emergence of cooperation intended to effectively address common-pool resource management problems. 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 currently a significant challenge for the Canadian society. Graduate students will gain extensive knowledge and research training in developing multiple participant decision techniques, designing and implementing decision support systems, applying the new and improved techniques to complex environmental management problems, and disseminating results. The training received will prepare graduate students to pursue their careers in academia, research and development, government, and consulting. Results from the proposed research should significantly contribute to the theory and practice of multiple participant decision making techniques.

环境管理问题往往涉及多个利益相关者，他们通常有不同的目标和价值体系。拟议的研究计划旨在开发多参与决策技术，创造性地解决具有挑战性的环境管理问题。更具体地说，将大大扩大解决冲突图表模型方法，并将设计和开发计算机化系统，以支持和实施新制定的方法。GMCR最初由申请人及其同事开发，构成了用于正式建模和分析现实世界的多参与者多目标决策问题的独特方法。一个名为GMCR II的决策支持系统，它允许GMCR应用于现实世界的冲突，已经开发并用于系统地调查在许多不同领域产生的争端。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，一个新一代的决策支持系统的冲突解决沿着实现算法将设计和开发的基础上最近的新发展。其次，技术分析解决反分析问题的GMCR将设计使用的方法和结果矩阵代数。第三，一个基于代理的框架建模和模拟冲突下的竞争和合作行为将显着扩大到研究条件的出现，旨在有效地解决共同池资源管理问题的合作。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，测试和改进所研究的决策方法。在拟议的研究中开发的方法和工具，可以利用的决策者，从业人员和研究人员感兴趣的可持续环境管理，这是目前加拿大社会的一个重大挑战。研究生将获得广泛的知识和研究培训，开发多参与者决策技术，设计和实施决策支持系统，将新的和改进的技术应用于复杂的环境管理问题，并传播结果。接受的培训将准备研究生在学术界，研究和开发，政府和咨询追求自己的职业生涯。从拟议的研究结果应显着有助于多参与决策技术的理论和实践。