An intelligent technology selection algorithm for complex decision environments – a unique knowledge based approach

This paper investigates the role of an intelligent technology selection algorithm for complex decision environments. The elicitation and formulization of expert decision thinking is presented in support of a unique approach to the subject. The problem definition is defined and an overview of the current state of the art provides a background into the subject area. The notion utilizes a knowledge base in prior selection of criteria ratings in a fuzzy ruled base system for analytic factors. The approach aims to optimize investment portfolios at manufacturing organizations by providing an efficient and quality decision-making process.