Please use this identifier to cite or link to this item:
https://hdl.handle.net/20.500.14279/1750
Title: | An intelligent hybrid decision support system for the management of water resources | Authors: | Kazeli, Hariklea Christofides, Tasos Keravnou-Papailiou, Elpida |
Major Field of Science: | Natural Sciences | Field Category: | NATURAL SCIENCES | Keywords: | Artificial intelligence;Pattern recognition;Decision support systems;Water--Management;Dynamics;Databases | Issue Date: | 2003 | Source: | International journal of pattern recognition and artificial intelligence, 2003, vol. 17, no. 5, pp. 837-862 | Volume: | 17 | Issue: | 5 | Start page: | 837 | End page: | 862 | Journal: | International Journal of Pattern Recognition and Artificial Intelligence (IJPRAI) | Abstract: | During the last two decades the scarcity of water resources is exponentially growing worldwide. Cyprus is one of the countries in the Mediterranean where the water shortage problem is evident and very severe. This paper describes an intelligent and flexible, hybrid decision support system for the management of water resources in the regions along the South Conveyor Project, the largest water development project in Cyprus. In particular, the paper presents the integrated system and its architecture, together with detailed descriptions of the hybrid components synthesizing it. Details on the implementation and preliminary evaluation of the system are also provided | URI: | https://hdl.handle.net/20.500.14279/1750 | ISSN: | 02180014 | DOI: | 10.1142/S0218001403002599 | Rights: | © World Scientific | Type: | Article | Affiliation: | University of Cyprus | Affiliation : | University of Cyprus | Publication Type: | Peer Reviewed |
Appears in Collections: | Άρθρα/Articles |
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