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This article develops a new intuitionistic fuzzy multi-attribute group decision-making model to solve precursor selection problems. The proposed model is based on a hybridization of intuitionistic fuzzy sets theory, grey relational analysis and technique for order performance by similarity to ideal solution method. To better describe the uncertain decision environment, multi-attribute group decision-making method with completely unknown weights of both experts and attributes is proposed in an intuitionistic fuzzy setting. Finally, the selection of the carbon source in synthesis of nanocrystalline titanium carbide powders by sol-gel route as an application example is solved by the proposed model, and the implementation of the model is illustrated completely. *hashemi.h@live.com

Study of the quality of carbon black dispersion by using UV-Visible Spectroscopy was carried out. Carbon materials have a main absorption around 200 nm (UV region) due to π→π* excitation. Based on UV absorption of carbon black and the parameter affects the absorption, UV Visible spectroscopy was used to study CB dispersion. Result showed that Triton X-100 was proper kinds of dispersant which resulted in higher UV absorption compared to other used dispersants. Also proper weight ratio of Triton X-100 to initial carbon solid was calculated of 50 wt% which no significant change was observed for sample containing higher amount of dispersant. Finally AFM images and PSA results asserted the results obtained from UV-Visible Spectroscopy.