Adaptive water resource planning using decision-rules

Learning Rules for Adaptive Planning

This paper presents a novel idea, which combines Planning, Machine Learning and Knowledge-Based techniques. It is concerned with the development of an adaptive planning system that can fine-tune its planning parameters based on the values of specific measurable characteristics of the given planning problem. Adaptation is guided by a rule-based system, whose knowledge has been acquired through m...

Water Resource Planning and Management using Motivated Machine Learning

Water resources planning and management require problem resolution and optimized use of resources. Since many objectives in water management are conflicting, it is hard to devise one optimum strategy. A simulation tool capable of optimized multiobjective analysis to satisfy multiplicity of goals is needed to support water decision making. This paper suggests an integrated modeling framework to ...

A Fuzzy Decision Making Approach to Enterprise Resource Planning System Selection

Here, we propose a fuzzy analytic hierarchy process (FAHP) method to evaluate the alternatives of enterprise resource planning (ERP) system. The fuzzy AHP approach allows the users get values more accurately to model the vagueness which changes according subjective ideas in the decision-making environment for ERP system selection problem. Therefore, fuzzy AHP method is used to obtain firm decis...

Adaptive management and environmental decision making: A case study application to water use planning

Adaptive management (AM) techniques are one of the principal tools proposed by environmental decision makers to provide flexible and responsive management approaches over time. However, the record of successful applications is surprisingly small. We believe that this in part reflects the lack of an intuitively plausible framework for evaluating AM initiatives. This paper outlines such a framewo...

Investment Methods in Sustainable Water Resource Management Using SAW Method