Adaptive Decision Support System in Network Centric Warfare Process

摘要

The article presents a concept of Adaptive Decision Support System (ADSS) which makes it possible to realize a network centric warfare strategy. The introduction of this article presents the significance of data processing by information and communication systems on the computerized battlefield. Also, it consists of a description of the process which aims at gaining knowledge from relational databases in terms of building situational awareness and organizing informational advantage. The strategic thought cycle in terms of building an adaptive information and communication system is presented in this work as well. A further part of the article describes the general architecture of decision support system applications, points out and defines their key elements. Finally, an original concept of decision-making model in adaptive DSS is suggested as an idea in which k-Nearest Neighbours classificator and the method of machine learning are used to realize the assumption concerning the adaptation of the system to dynamic conditions on the battlefield. The direction of research as well as possibilities of potential solution optimization are also indicated in this article.