Multi-Model Standard Reference for Strategies in High Complexity Spectrum Using Hybrid Intelligent Architecture
Selma Regina Martins Oliveira, Jorge Lino Alves

Abstract
The objective of this paper is to contribute to a planning policy in the knowledge innovation/network value chain in the perspective of the product/technology development process – PDP/TDP. Therefore, a multi-model reference proposal was created based on the definition of high complexity spectrum strategies, which considers a sequence of systematic procedures in the following phases: 1) Mathematical modeling, structured into (i) theoretical assumptions to design the model, and (ii) theoretical elements to design of the model, and 2) verification of the mathematical model, systematized in the following steps: (i) determine the information needs in two sub-steps: (a) identify critical success factors (CSFs) and (b) identify information areas, (ii) determine the actors’ knowledge in the innovation value chain, (iii) determine the degree of knowledge evaluation, and (iv) determine the strategies in knowledge networks in the innovation/knowledge value chain networks in the products/technologies development process. The study shows thes application of this process in technology based companies in Brazil and thes research work was done with the participation of experts with technical and scientific knowledge about the research object. Several support tools weree used to formulate the modeling in order to reduce subjectivity in the results: psychometric scaling – Thurstone’s Law of Categorical Judgments (LCJ), Multicriteria Analysis-Compromise Programming, Electre III and Promethee II, Artificial Neural Networks (ANN) and Neurofuzzy Technology. The mains results obtained demonstrated that.

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