Multi Model to Assess the Technology Transfer Process Performance in Highly Complex Spectrum under Uncertainty and Unpredictability
Selma Regina Martins Oliveira, Jorge Lino Alves

Abstract
The present paper aims to contribute to the planning policy in technology transfer. To achieve that, it presents a multi-model proposal to assess the technology transfer process performance in high complexity spectrum in conditions of uncertainty and unpredictability according to the following phases: Phase 1: Determine the information needs in technology transfer process (TTP); Phase 2: Determine the technology transfer process; Phase 3: Identify the barriers in the technology transfer process; Phase 4: Assessment of barriers of the technology transfer process based on the technology categories (types); Phase 5: Determine the degree of technology transfer process effectiveness. The research focus was developed based on the literature and involved the intervention of experts on the study subject, which were selected using technical-scientific criteria. The data were collected through an assessment matrix, which the experts used to issue their opinions on all variables. To reduce subjectivity in the results, the following methods were used: Law of Categorical Judgment - psychometric scaling (Thurstone, 1927) and Artificial Neural Networking (ANN), Multivariate Analysis statistical methods and method Compromise Programming, Electre III and Promethee II - multi-criteria analysis; and Neurofuzzy Technology. The mains results obtained demonstrated that.

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