Principles and practical criteria for effective participatory environmental planning and decision-making

Participatory decision making in reservoir planning

The technologies and methods for integrated planning and management of water resource systems have matured considerably over the past decades. However, relatively few of them have been actually and regularly applied in real world decisional processes. We feel this is essentially due to a general lack of engagement of stakeholders and decision makers at every stage of the decisional process. Inn...

An AHP-Delphi Multi-Criteria Decision Making Model with Application to Environmental Decision-Making

INTUITIONISTIC FUZZY DIMENSIONAL ANALYSIS FOR MULTI-CRITERIA DECISION MAKING

Dimensional analysis, for multi-criteria decision making, is a mathematical method that includes diverse heterogeneous criteria into a single dimensionless index. Dimensional Analysis, in its current definition, presents the drawback to manipulate fuzzy information commonly presented in a multi-criteria decision making problem. To overcome such limitation, we propose two dimensional analysis ba...

Using Multi Criteria Decision Making Methods for Evaluation the Entrepreneurship and Innovation Indicators

This paper offered a procedure for ranking the entrepreneurial and innovative indicators using Multi Criteria Decision Making (MCDM), taking into account three individual,organizational and cultural dimensions simultaneously in decision making procedure. Henceforward, by using the Meta synthesis framework, the form of group classification of indicators from afinding’s combination was suggested ...

Policy Gradient Planning for Environmental Decision Making with Existing Simulators

In environmental and natural resource planning domains actions are taken at a large number of locations over multiple time periods. These problems have enormous state and action spaces, spatial correlation between actions, uncertainty and complex utility models. We present an approach for modeling these planning problems as factored Markov decision processes. The reward model can contain local ...