Long-term forest management planning often involves several stakeholders with conflicting objectives, creating a complex decision process. Multiple-criteria decision analysis (MCDA) presents a promising framework for finding solutions in terms of suitable trade-offs among the objectives. However, many of the MCDA methods that have been implemented in forest management planning can only be used ...

Traditional techniques of data analysis do not enable the solution of all kind of problems and for that reason they have become insufficient. This caused a new interdisciplinary field of data mining to arise, encompassing both classical statistical, and modern machine learning techniques to support the data analysis and knowledge discovery from data. Data mining methods are powerful in dealing ...

Long range planning is the process by which an organization assesses its h ture environment and develops specific plans of action to respond to, or change, that environment to achieve its goals. This report presents the results of a study of long range planning practices at one plant of a large US. computer firm, focusing on current and potential decision support systems (DDSs) for the quantita...

This paper describes RAXEM, an AI-based system developed to support human mission planners in the daily task to plan uplink commands for an interplanetary spacecraft. The intelligent environment of RAXEM has been designed to support the users in analyzing the problem and taking planning decisions as a result of an interactive process. The system combines different ingredients like integrating f...

Forest management decisions, because of the many conflicting issues involved, require many iterations to arrive at a feasible plan. Various optimization methods have been attempted to automate this process, but none have been widely accepted. A flight simulator’prototype has been developed, based on the exchange of ‘scenarios ', the current or proposed state of the forest. This simple approach ...