Title :
Granular Computing: A Problem Solving Paradigm
Author_Institution :
Dept. of Comput. Sci., San Jose State Univ., CA
Abstract :
Granulation is a natural problem-solving methodology deeply rooted in human thinking; it is intrinsically fuzzy, vague and imprecise. Mathematicians idealized it to partition, and developed into a fundamental problem solving methodology. Granulation and partition are examined in parallel from the prospect of problem solving. In partition theory, knowledge processing are transformed into table or tree processing. For general granulation such transformation is not there. In this paper, we take a new fresh look at previous results (Lin, 1998a), including the recent applications in computer security (Chinese Wall Security Policy model) from this prospect; the knowledge processing have been transformed to table and tree processing in the (pre-)topological setting
Keywords :
fuzzy set theory; knowledge engineering; problem solving; security of data; tree data structures; trees (mathematics); Chinese Wall Security Policy model; computer security; granular computing; human thinking; knowledge processing; partition theory; problem solving; table processing; topology; tree processing; Application software; Computer science; Computer security; Humans; Information retrieval; Mathematics; Problem-solving; Relational databases; Set theory; Topology;
Conference_Titel :
Fuzzy Systems, 2005. FUZZ '05. The 14th IEEE International Conference on
Conference_Location :
Reno, NV
Print_ISBN :
0-7803-9159-4
DOI :
10.1109/FUZZY.2005.1452381