Abstract

The article offers a brief overview of the main theoretical and practical results obtained by its authors and their scientific followers. The results concern mainly the deterministic theory of pattern recognition. In particular, the main results on the logical and algebraic correction of heuristic algorithms are presented. Possible directions for the development of recognition algorithms based on inductive inference, similarity, and precedence metrics are also proposed. The practical part deals with some of the decision-making tasks in areas such as medical diagnostics and various technical areas. The nature of the review and value judgments is based on the experience of the authors.

中文翻译：

---

模式识别：理论研究经验与应用

摘要

本文简要概述了其作者及其科学追随者获得的主要理论和实践成果。结果主要涉及模式识别的确定性理论。特别是，提出了启发式算法的逻辑和代数校正的主要结果。还提出了基于归纳推理，相似性和优先级度量的识别算法开发的可能方向。实际部分处理诸如医疗诊断和各种技术领域中的一些决策任务。评论和价值判断的性质基于作者的经验。