1979
DOI: 10.1029/wr015i002p00203
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Multiple objectives under uncertainty: An illustrative application of protrade

Abstract: A decision making method labeled Protrade has been developed to account for both multiple objectives and uncertainty aspects. This method is applied to the case study of the Black Mesa Region in Northern Arizona which is being strip mined for coal. One important concern in large-scale surface mining is the reclamation of mine spoils to bring about beneficial land uses while observing economic, social, environmental, and legal constraints. Protrade considers a set of linear objective functions with random param… Show more

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Cited by 42 publications
(8 citation statements)
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References 19 publications
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“…Type I -No preference articulation. Methods in this group include: probabilistic trade-offs development method (Goicoechea et al, 1979), step method (Benayoun et al, 1971), and sequential multi objective problem solving method (Monarchi et al, 1973;Goicoechea et al, 1982). Methods of this type includes the ε-constraint (Haimes, 1973), global criterion method (Salukvadze, 1974), and weighted-sum method (Zadeh, 1963).…”
Section: U Lt I O B J E C T I V E Pat H O P T I M I S At I O N M O mentioning
confidence: 99%
“…Type I -No preference articulation. Methods in this group include: probabilistic trade-offs development method (Goicoechea et al, 1979), step method (Benayoun et al, 1971), and sequential multi objective problem solving method (Monarchi et al, 1973;Goicoechea et al, 1982). Methods of this type includes the ε-constraint (Haimes, 1973), global criterion method (Salukvadze, 1974), and weighted-sum method (Zadeh, 1963).…”
Section: U Lt I O B J E C T I V E Pat H O P T I M I S At I O N M O mentioning
confidence: 99%
“…After selecting both the desired trade-off and the risk, the various "quantile solutions" were used in an implicit stochastic optimization approach. Goicoechea, et a!. (1979), proposed a method that considered nultiobjectives with uncertainty applied to land-use planning.…”
Section: Literature Reviewmentioning
confidence: 99%
“…A compromise solution may be found by using "Compromise Programming" which seeks the "shortest" distance between the ideal point and the set of nondominated solutions (Zeleny, 1973). Alternatively, game theory can be applied for finding the "maximum" distance between some "status quo" point and the set of nondominated solutions (Szidarovszky, et aL, 1978;Szidarovszky, A number of other techniques could be used as well (Roy, 1971;Benayoun, et aL, 1971;Haimes, et aL, 1975Haimes, et aL, , 1980Major, 1977;Cohon, 1978;Cohon, et aL, 1979;Goicoechea, et aL, 1979Goicoechea, et aL, , 1981 but as pointed out in Zionts and Wallenius (1 975), and Gershon (1 981), it is often advantageous to choose multiobjective techniques that are simple from the viewpoints of both decision maker and computations. It is hoped that Compromise Programming is acceptable on both accounts.…”
Section: Problem Formulationmentioning
confidence: 99%