Intelligent Decision Making for New Product Development and Market Positioning Using Soft Computing

In any business organization, the project managers have to execute several critical decisions at each level according to the organizational hierarchy. New product and technology development and positioning encompasses most crucial activity for the existence of any concern in a competitive business model. The decisions involved in these processes are extremely uncertain and requires plenty of strategic interventions and proliferations. This paper proposes a novel method to address these issues with the implication of hybrid intelligent systems. Fuzzy inference systems have been used to model ambiguous conditions and ant colony optimization based intelligent multi-agents for searching the optimal combined strategy to meet the requirement. The well-blended model first try to focus on the objective of the business problem, then interprets using fuzzy linguistics, and finally initiate the ant-based search for finding the best suitable business strategy.