The MIRA Approach: Iterate to Stakeholder Agreement by Minimizing Decision Uncertainty
This chapter provides a detailed description of how iteration is used in the MIRA open solution approach to foster trans-disciplinary learning. This approach culminates in a consensus decision that is supported by a comprehensive evaluation of various types of uncertainty and how they relate to Decision Uncertainty. After performing the Baseline Run in Chap. 4, stakeholders are ready to proceed with further experimentation via iteration runs to better understand alternative rankings. This chapter describes those aspects of MIRA that makes it a practical open solution process. The process maximizes the use of these iterations until an analysis is produced with acceptable Decision Uncertainty, as determined by the stakeholders. The Gaia example used in Chap. 4 is expanded in Chap. 5 to illustrate the strategies and analysis methods used in a realistic MIRA application.
KeywordsUncertainty analysis Risk management process Quality assurance methodology Consensus building Multi-criteria assessment
- 1.U.S. Environmental Protection Agency (2018) National Air Toxics Assesssment: 2014 Technical Support Document. https://www.epa.gov/national-air-toxics-assessment/2014-nata-technical-support-document. Accessed 30 June 2019
- 3.U.S. Environmental Protection Agency (2004) Air quality designations and classifications for the 8-hour Ozone National Ambient Air Quality Standard; early action compact areas with deferred dates. Fed Regist 84(69):23858–23951Google Scholar
- 4.Saaty TL (1990) The analytic hierarchy process: planning, priority setting, resource allocation. RWS Publications, PittsburghGoogle Scholar