A MULTIOBJECTIVE DECISION-SUPPORT SYSTEM FOR MULTIRESOURCE FOREST MANAGEMENT

A multiobjective and/or multiperson decision support system for analyz ing multiresource forest management problems is developed in this pape r. The procedure includes formulating the problem in a multiobjective and group decision making framework, and solving it using two solution techniques which consist of a distance-based compromise programming ( CP) and a cooperative game theoretic approach of the Nash equilibrium type. The problem consists of five forest resources management objecti ve functions to be maximized. Solving the problem using the two soluti on techniques enables determining a satisfactory compromise solution o f the five forest resource management objectives. Sensitivity analysis of the two techniques shows compromise programming to be more sensiti ve to changes in the weight and the p-parameter of the technique while the cooperative game theoretic approach is relatively robust with res pect to changes in the worst utility set.