As the guest editors of the special issue on Fuzzy System in Data mining and Knowledge discovery: Modelling and application, we would like to publish the latest, innovative, and outstanding research results in the International Journal of Fuzzy Systems (IJFS). Fuzzy system in data mining and knowledge discovery is an interdisciplinary area focusing upon methodologies for extracting useful knowledge from data. Data mining and knowledge discovery has studied widely research topic in the fields of artificial intelligence, human interaction, knowledge management, knowledge visualization, reliability and robustness, knowledge discovery with high-dimensional data, software warehouse and software mining, data engineering.

The special issue on Fuzzy System in Data Mining and Knowledge Discovery: Modelling and Application was called for papers during September 2015–March 2016. The objective of this special issue is to explore latest modelling, analysis and fuzzy systems and knowledge discovery. The criteria for the review were based on technical contributions, novelty and completeness. After the rigorous review process, nine papers were accepted for publication in this IJFS special issue. All the nine papers successfully introduced fuzzy system in data mining, knowledge discovery and its application. List of nine papers is as follows: “Patent Big Data Analysis Using Fuzzy Learning”, “A Fuzzy System for Combining Filter Features Selection Methods”, “Information Fusion Based on Information Entropy in Fuzzy Multi-source Incomplete Information System”, “A Systematic Approach to Fuzzy-Model-Based Robust”, “Feature Selection in Learning Common Sense Associations Using Matrix Factorization”, “Fuzzy Modeling for Low-Carbon Dynamic Procurement Problem”, “An Intelligent Algorithm Based on Bacteria Foraging Optimization and Robust Fuzzy Algorithm to Analyze Asthma Data”, “Personalized Adaptive Learner Model in E-Learning System Using FCM and Fuzzy Inference System” and “An Integrated Fuzzy Trust Prediction Approach in Product Design and Engineering”.

This editorial message not only delineates the paper submission and rigorous review, but also assures the quality of the papers in this special issue of IJFS. As the guest editors of this special issue on data mining and knowledge discover, we deeply thank for the author’s patience and effort for revising their submissions according to the reviewers’ comments.