This volume presents cutting-edge research in the intersection of rough sets, fuzzy sets, data mining, and granular computing. The proceedings from the 14th International Conference on Rough Sets, Fuzzy Sets, Data Mining and Granular Computing (RSFDGrC 2013) showcase a rigorous selection of 69 papers, carefully reviewed from over 100 submissions. These papers explore critical areas such as handling inconsistency, incompleteness, and non-determinism in data, alongside advancements in fuzzy and rough hybridization techniques. The research also delves into granular computing, covering-based rough sets, soft clustering, and their applications in image and medical data analysis.

This collection of papers from the 2013 RSFDGrC conference offers a snapshot of active research in advanced computational intelligence techniques. The rigorous selection process, with 69 papers chosen from 106 submissions, suggests a high standard of presented work. The topics covered, including data inconsistency, fuzzy-rough hybridization, and granular computing, indicate a focus on theoretical advancements and practical applications in fields like image and medical data analysis. The inclusion of both regular and short papers provides a broad overview of current trends and specific problem-solving approaches within the community.