Article ID: | iaor2005258 |
Country: | United States |
Volume: | 20 |
Issue: | 1 |
Start Page Number: | 31 |
End Page Number: | 48 |
Publication Date: | Jan 2003 |
Journal: | Civil Engineering and Environmental Systems |
Authors: | Bose P., Chakrabarti R. |
Keywords: | decision theory: multiple criteria, programming: integer, analytic hierarchy process |
In Multi-Criteria Decision-Making procedures like Analytic Hierarchy Process, the aggregate impact of a decision is expressed as a numerical score, with a higher score indicating aggregate positive impact of the decision on various impacted parameters or “impact-factors”. In case the aggregate score is unsatisfactory, mitigation measures must be incorporated to lessen the adverse impact of the decision on one or more adversely impacted-factors, thus increasing the score. Incorporation of mitigation measures for each impact-factor is associated with a corresponding cost, which varies with the extent of mitigation proposed. Under the circumstances, questions regarding the extent of mitigation required for each impact-factor in order to obtain, (a) a target aggregate mitigation at minimum mitigation cost, or (b) the maximum aggregate mitigation for a fixed mitigation cost, may be asked. Algorithms incorporating integer-programming techniques have been presented in this paper for the above purpose. These algorithms have been implemented and tested using a typical Environmental Impact Assessment problem.