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Hybrid Multi-attribute Decision Making Method of Electric Coal Procurement in Industry
Affiliation:1. College of Mathematics and Physics, Huanggang Normal University, Huanggang 438000, China;2. Institute of Systems Engineering, Huazhong University of Science and Technology, Wuhan 430074, China;3. College of Mathematics and Physics, Huanggang Normal University, Huanggang 438000, China;4. Department of Applied Mathematics, University of Waterloo, Ontario N2L 3G1, Canada
Abstract:Electric coal procurement is the basis of electric power production. In this paper, the problem of supplier selection is studied in multi-source procurement of electric coal. Concretely, the index system of supplier selection is presented, including the evaluation attributes of price, quantity, quality, delivery time and the reputation of supplier. Then, the problem of supplier selection is converted into a problem of hybrid multi-attribute decision making, and a projection method based on hybrid technique for order preference by similarity to ideal solution (TOPSIS) is presented to rank all suppliers and select winners. Its decision example is also given to implement the presented decision method and to demonstrate its effectiveness and practicality. This paper gives an effective way to the hybrid multi-attribute decision making for multi-source procurement of electric coal under fuzzy uncertain environment.
Keywords:Electric coal procurement  Hybrid multi-attribute decision making  Linguistic fuzzy variable  Projection method  Supplier selection
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