Author: Zen and the Art of Computer Programming
From the technological revolution to the information age, the traditional aerospace industry is undergoing transformation. With the continuous changes of society, economy and politics, various sensors, processors, navigation systems and other new equipment are more and more widely used. But it also brings new complexities and challenges. Due to the need to respond to various external environmental changes, these systems increasingly rely on real-time decision support. Therefore, the application of Decision Support System (DSS) based on machine learning technology is getting more and more attention.
Top-k Selection by Similarity (TopSIS) model is an important machine learning model. According to the input feature vector, it can select the most similar top k samples by calculating the similarity between features and sorting them, and then give the corresponding prediction results. Unlike the traditional kNN algorithm, TopSIS does not require a training process, and only needs to provide samples to be predicted and their corresponding labels to complete the model construction. The main advantages of the TopSIS model are as follows:
High accuracy: The TopSIS model performs well in many fields, including image recognition, text classification, e-commerce recommendation, and biometric detection. The model has been shown to enable real-time decision support in complex environments.
Easy to understand: The TopSIS model is simple and intuitive, which can help people better understand the similarity and sequence relationship between samples in the feature space, and help developers quickly understand the model output results.
Strong scalability: The TopSIS model has good scalability, can use different distance functions, and is suitable for many types of feature data.
High robustness: The TopSIS model is less sensitive to outliers and noise, does not pay too much attention to a small number of outliers, and can effectively deal with data sparse or uneven distribution.
However, the TopSIS model also has some limitations. First, the TopSIS model cannot handle categorical data, but only continuous data; second, TopS