Abstract Multi-Source Information Fusion (MSIF) is a comprehensive and interdisciplinary
subject, and is referred to as, multi-sensor information fusion which was originated in the …

Granular computing, as a new and rapidly growing paradigm of information processing, has
attracted many researchers and practitioners. Granular computing is an umbrella term to …

本书共16 章. 第1~ 6 章讨论人工智能的认知问题和逻辑基础, 论述约束推理, 定性推理,
基于范例推理, 概率推理. 第7~ 13 章重点讨论机器学习, 包括归纳学习, 支持向量机, 解释学习 …

The key strategy of the three-way decisions theory is to consider a decision-making problem
as a ternary classification one (ie acceptance, rejection and non-commitment). Recently, this …

The original rough set model was developed by Pawlak, which is mainly concerned with the
approximation of sets described by a single binary relation on the universe. In the view of …

Worldwide, there has been a rapid growth in interest in rough set theory and its applications
in recent years. Evidence of this can be found in the increasing number of high-quality …

Feature selection is a challenging problem in areas such as pattern recognition, machine
learning and data mining. Considering a consistency measure introduced in rough set …

The main task of local rough set model is to avoid the interference of complicated calculation
and invalid information in the formation of approximation space. In this paper, we first …

We propose a framework for the study of covering based rough set approximations. Three
equivalent formulations of the classical rough sets are examined by using equivalence …

The Bayesian decision-theoretic rough sets propose a framework for studying rough set
approximations using probabilistic theory, which can interprete the parameters from existing …