An adaptive weight adjustment algorithm based on optimization of weight distance similarity

DOI

10.2991/ifeesm-17.2018.111How to use a DOI?

Keywords

AHP, entropy weight method, distance similarity, adaptive weight adjustment.

Abstract

In other to enhance the assessment ability to modernized weapons, an adaptive weight adjustment algorithm based optimization of weighted-distance similarity is proposed. Adopting Analytic Hierarchy Process and entropy weight method to evaluate the subjective and objective weights of indices, building the model of comprehensive weight computing based optimization of weight distance similarity, designing the adaptive adjustment method with comprehensive weight, the accuracy and maneuverability are proved by giving example analysis and the result shows that the algorithm can be used as a reference in the weapon evaluation system construction.

Copyright

© 2018, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Ningguo Yang
AU  - Xintao Ren
AU  - Jianwei Zhang
AU  - Weibing Jiang
PY  - 2018/02
DA  - 2018/02
TI  - An adaptive weight adjustment algorithm based on optimization of weight distance similarity
BT  - Proceedings of the 2017 3rd International Forum on Energy, Environment Science and Materials (IFEESM 2017)
PB  - Atlantis Press
SP  - 587
EP  - 591
SN  - 2352-5401
UR  - https://doi.org/10.2991/ifeesm-17.2018.111
DO  - 10.2991/ifeesm-17.2018.111
ID  - Yang2018/02
ER  -