Fuzzy Sets and Systems - Special issue: fuzzy sets: where do we stand? Where do we go?
Rough Sets: Theoretical Aspects of Reasoning about Data
Rough Sets: Theoretical Aspects of Reasoning about Data
Knowledge structure, knowledge granulation and knowledge distance in a knowledge base
International Journal of Approximate Reasoning
Dominance-Based Rough Sets Using Indexed Blocks as Granules
Fundamenta Informaticae - Fundamentals of Knowledge Technology
Distance: A more comprehensible perspective for measures in rough set theory
Knowledge-Based Systems
Neighborhood systems and approximate retrieval
Information Sciences: an International Journal
IEEE Transactions on Systems, Man, and Cybernetics, Part A: Systems and Humans
Fuzzy logic = computing with words
IEEE Transactions on Fuzzy Systems
Information Granularity in Fuzzy Binary GrC Model
IEEE Transactions on Fuzzy Systems
The Quotient Space Theory of Problem Solving
Fundamenta Informaticae - The 9th International Conference on Rough Sets, Fuzzy Sets, Data Mining and Granular Conputing (RSFDGrC 2003)
Set-theoretic Approaches to Granular Computing
Fundamenta Informaticae - Rough Sets and Knowledge Technology (RSKT 2010)
Hi-index | 0.00 |
Hierarchy plays a crucial role in the development of the granular computing. In this paper, three different hierarchies are considered for judging whether a granulation structure is finer or coarser than another one. The first hierarchy is based on the set containment of information granulations, the second hierarchy is based on the cardinal numbers of information granulations while the third hierarchy is based on the sum of cardinal numbers of information granulations. Through introducing set distance and knowledge distance, we investigate the algebraic lattices, in which the derived partial orders are corresponding to the three different hierarchies, respectively. From the viewpoint of distance, these results look forward to provide a more comprehensible perspective for the study of hierarchies on granulation structures.