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Generation of Fuzzy Reservoir Operating Rules Under Imperfect Streamflow Data Condition

By: Suharyanto, Ian C. Goulter, and Saleh Wasimi

Abstract

The paper presents an application of fuzzy theory as a strategy to produce an operation policy of a single reservoir designed under imperfect data condition, which is a common feature in developing countries. The paper considers imperfection in streamflow data and water demand values. The technique is applied to Wadaslintang Reservoir in Central Java, Indonesia. It is demonstrated that incorporation of fuzzy theory in dynamic programming result in more straightforward analysis than the conventional method, and yield better values of system performance measures.

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