A multiobjective decision support system for multiresource forest management

Aregai Tecle, Bijaya P. Shrestha and Lucien Duckstein
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Aregai Tecle: Northern Arizona University
Bijaya P. Shrestha: University of Arizona
Lucien Duckstein: University of Arizona

Group Decision and Negotiation, 1998, vol. 7, issue 1, No 3, 23-40

Abstract: Abstract A multiobjective and/or multiperson decision support system for analyzing multiresource forest management problems is developed in this paper. 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 objective functions to be maximized. Solving the problem using the two solution techniques enables determining a satisfactory compromise solution of the five forest resource management objectives. Sensitivity analysis of the two techniques shows compromise programming to be more sensitive to changes in the weight and the p-parameter of the technique while the cooperative game theoretic approach is relatively robust with respect to changes in the worst utility set.

Keywords: compromise programming; cooperative game theory; decision support system; forest resources management; multiobjective analysis (search for similar items in EconPapers)
Date: 1998
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Citations: View citations in EconPapers (11)

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DOI: 10.1023/A:1008671129325

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