Abstract

As situation assessment in the warfare involves abundant, uncertain and redundant information, this paper presents a method for situation assessment of multi-attribute decision making based on rough sets. First, it proposes a discernibility function and improves the knowledge reduction algorithm, thus improves the efficiency; Furthermore, a model for situation assessment of multi-attribute decision making based on rough sets is established to simplify the given informational system and form decision-making rules. Finally, a case of attacking the enemy in the war is studied through the models so that decision making rules are deduced; then proper attacking conditions are obtained.

Talk to us

Join us for a 30 min session where you can share your feedback and ask us any queries you have

Schedule a call

Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.