The potential of imprecision in intelligent decision making

Abstract

At the core of most decision making mechanisms is some sort of intelligent logical reasoning strategy. Therefore, the accuracy and precision of decision making depends on the applied logic and learning processes. This paper tries to address these issues by formulating a tolerance to imprecision view which can be used in the proposed decision making framework that integrates various reasoning strategies.

Intelligent Framework for the Management of Distributed Architectures

“…The main obstacle in developing intelligent decisionmaking mechanisms is to understand how we perceive an "intelligent" entity [17]. Thus, this research has divided the exploration of intelligence into two main disciplines -"Logical Reasoning & Learning" and "Sensory Perception".…”

Intelligent Decision-Making Tier in Software Architectures

“…The main obstacle in developing intelligent decision-making mechanisms is to understand how we perceive an "intelligent" entity (Ong and Khaddaj, 2009). A general concept on how an intelligent decision-making ability is achieved using combined functionalities is shown in figure 1.…”

“…Integration of these decision-making processes into one independent tier enables a wider identification and evaluation of the architecture's overall operating status that inadvertently contributes to the formation of a better final outcome. This process is determined by pattern identification methods and types of logical reasoning in the tier's decision-making mechanism (Ong and Khaddaj, 2009).…”