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24 results on '"Srdjevic, B."'

14. Considerations for Implementation of Manufactured Nanomaterial Policy and Governance

Author

Satterstrom, F. K., primary, Arcuri, A. S. A., additional, Davis, T. A., additional, Gulledge, W., additional, Hansen, S. Foss, additional, Haraza, M. A. Shafy, additional, Kapustka, L., additional, Karkan, D., additional, Linkov, I., additional, Melkonyan, M., additional, Monica, J., additional, Owen, R., additional, Palma-Oliveira, J. M., additional, and Srdjevic, B., additional

Published
2009
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16. Water Resources Management

Author

Medeiros, Y. D. P., Srdjevic, B., and Faria, A. S.

Subjects
Multi-criteria analysis, Entropy, Performance, Reservoir system, Scenario
Abstract

Texto completo: acesso restrito. p. 35-54 Submitted by Edileide Reis (leyde-landy@hotmail.com) on 2013-12-09T11:53:09Z No. of bitstreams: 1 Y. D. P. Medeiros.pdf: 166927 bytes, checksum: e95f64c132e74880ff26e6ada92d8086 (MD5) Approved for entry into archive by LIVIA FREITAS (livia.freitas@ufba.br) on 2013-12-09T14:10:16Z (GMT) No. of bitstreams: 1 Y. D. P. Medeiros.pdf: 166927 bytes, checksum: e95f64c132e74880ff26e6ada92d8086 (MD5) Made available in DSpace on 2013-12-09T14:10:16Z (GMT). No. of bitstreams: 1 Y. D. P. Medeiros.pdf: 166927 bytes, checksum: e95f64c132e74880ff26e6ada92d8086 (MD5) Previous issue date: 2004 Advanced computer models are commonly used to simulate reservoir system's performance. If the number of possible management scenarios is large, it can be extremely difficult to follow related system's operation and get a valuable picture on its spatial and temporal behavior. The decision maker or analyst can be overburdened by quantity and complexity of information generated by model, particularly if system operation is repeatedly simulated for multiyear periods. Related problem is how to select the scenario with most desired long-term consequences. Possible approach is to use selected parts of model's output and re-interpret system behavior by means of certain performance indicators, create appropriate decision matrix and perform multi-criteria analysis to rank decision alternatives (scenarios). The paper proposes a methodology that includes: (1) multiyear simulations of system operation; (2) computing spatially and temporally distributed systemperformance indices such as supply reliability, resiliency and vulnerability; (3) unbiased entropy-based weighting the importance ofperformance indices; and (4) final ranking of scenarios by means of multi-criteria analysis. The number of scenarios and number of performance indices is not restricted, and to account for possibly large sets of scenarios, an ideal-point-distance multi-criteria method TOPSIS is suggested. Proposed methodology appeared to be confident and robust in proof-of-concept application in Brazil.

Published
2004
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24. Approach of decision making based on the analytic hierarchy process for urban landscape management.

Author

Srdjevic Z, Lakicevic M, and Srdjevic B

Subjects
Cities, Decision Making, Humans, Serbia, Trees, City Planning, Conservation of Natural Resources, Decision Support Techniques, Models, Theoretical
Abstract

This paper proposes a two-stage group decision making approach to urban landscape management and planning supported by the analytic hierarchy process. The proposed approach combines an application of the consensus convergence model and the weighted geometric mean method. The application of the proposed approach is shown on a real urban landscape planning problem with a park-forest in Belgrade, Serbia. Decision makers were policy makers, i.e., representatives of several key national and municipal institutions, and experts coming from different scientific fields. As a result, the most suitable management plan from the set of plans is recognized. It includes both native vegetation renewal in degraded areas of park-forest and continued maintenance of its dominant tourism function. Decision makers included in this research consider the approach to be transparent and useful for addressing landscape management tasks. The central idea of this paper can be understood in a broader sense and easily applied to other decision making problems in various scientific fields.

Published
2013
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