Fuzzy signature for complex decision model
There are many areas where objects with very complex and sometimes interdependent features are to be classified; similarities and dissimilarities are to be evaluated. This makes a complex decision model to be constructed effectively. Two very obvious examples, where such a need emerges are the economic and the medical field. This paper presents an algorithm for constructing a fuzzy signature structure by using concepts from interclass separability and hierarchical fuzzy systems. Fuzzy signature is introduced to handle complex structured data and interdependent features problems. Fuzzy signature can also used in cases where data is missing. However, when dealing with a very large data set, it is possible that they hide hierarchical structure that appears in the subvariable structures. The proposed fuzzy signature structure will be used in problems that fall into this category. With the use of this fuzzy signature structure, complex decision model in economic and medical field should be able to be constructed more effectively.
|Publication Type:||Journal Article|
|Murdoch Affiliation:||School of Information Technology|
|Publisher:||Australian National University|
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