Expert Systems for Sea Mine Warfare

Lu Han Chung; Mon Don Liu; Chyan Yang

doi:10.14429/dsj.44.4185

Lu Han Chung Chung Cheng Institute of Technology, Taiwan
Mon Don Liu Chung Cheng Institute of Technology, Taiwan
Chyan Yang Institute of Management Science & Institute of Information Management National Chiao Tung University

DOI: https://doi.org/10.14429/dsj.44.4185

Keywords: Sea mine warfare, Decision support systems, Probabilistic inference network

Abstract

In this paper, the probabilistic inference network (PIN) in a decision support systems environment is used to deal with several uncertain questions. The PIN method is supported by the certainty factors. Calculations involving quantitative probabilities for answering concerned questions enable mine countermeasure (MCM) experts to offer suggestions to a commander for reducing the ship's vulnerability at sea during wartime. For sea mine warfare scenarios, based on an analysis, we have a degree of confidence of 0.6568 to suggest the commander to deploy MCM forces.

Author Biographies

Lu Han Chung, Chung Cheng Institute of Technology, Taiwan

Department of Weapon Engineering, Chung Cheng Institute of Technology, Taiwan

Mon Don Liu, Chung Cheng Institute of Technology, Taiwan

Department of Weapon Engineering, Chung Cheng Institute of Technology, Taiwan

Chyan Yang, Institute of Management Science & Institute of Information Management National Chiao Tung University

Institute of Management Science & Institute of Information Management National Chiao Tung University