I.G.P. Asto Buditjahjanto, Mochamad Hariadi, Mauridhi Hery Purnomo
In this paper we design a hybrid intelligent system to help decision maker to make a good decision in economic and emission dispatch (EED) problem. The EED problem is in multiobjective form. The objectives are to minimize fuel cost and to minimize emission. The proposed approach consists of four stages such as multiobjective optimization problem, clustering, fuzzy inference system and decision making. In the first stage NSGA2 method is used to solve EED problem with some optimal solutions, in the second stage FCM is used to cluster those optimal solutions then in the third stage Mamdani FIS is used to build rule bases and the last stage a decision is selected by decision maker. To learn EED problem three scenarios are given. Those scenarios are profit oriented, environment oriented and profit and environment oriented. Decision maker must select the best solution as a decision where the decision is based on the scenario. Then decision maker's decision is used to calculate decision score. The higher decision score is the better decision.
Department of Electrical Engineering, Institut Teknologi Sepuluh Nopember, Surabaya, 60111, Indonesia; Department of Electrical Engineering, Universitas Negeri Surabaya, Surabaya, 60231, Indonesia
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