This work will propose the use of a multistage hierarchical fuzzy logic-based decision-making methodology, to provide the necessary information to industrial level decision-makers, for improved decision-making abilities. The fuzzy logic-based method aids in the determination and selection of various decisions that must be implemented in order to achieve an improved state of sustainable development in the future. The methodology can be applied in a forward time direction, i.e. given the current state of sustainability and the implementation of various decisions at multiple time intervals (i.e. multistage) into the future, what will be the new state of sustainable development years into the future. The methodology can also be implemented in a backward time direction, i.e. given the current state of sustainability within an industrial zone and a target sustainable development goal some years into the future, what decisions must be executed and when, in order to realize the pre-determined goal. Utilization of the methodology will provide decision-makers with a higher level of confidence in the fact that their decisions will result in a state of improved sustainable development, throughout their industrial zone, over time. This methodology is computationally very efficient, suitable for analyzing the sustainability status of any system, or predicting the system long-term behavior in the scope of sustainability under uncertainty.
The methodology has been applied to an automotive focused industrial zone case study to quantify and analyze the state of industrial sustainability within an industrial region, and determine recommendations for future policies and actions that would increase the values of the indicators identified as promoting or decrease the values of those identified as impeding sustainability can be made.
 Andriantiatsaholiniaina, L. A., V. S. Kouikoglou, and Y. A. Phillis. Evaluating Strategies for Sustainable Development: Fuzzy Logic Reasoning and Sensitivity Analysis. Ecol. Econ. 2004, 48, 149-172.