Classifying through a fuzzy algebraic structure
作者： Antonio Gisolfi , Ferdinando Cicalese
DOI: 10.1016/0165-0114(96)84612-4
关键词: Fuzzy classification 、 Fuzzy set operations 、 Fuzzy clustering 、 Defuzzification 、 Fuzzy subalgebra 、 Theoretical computer science 、 Type-2 fuzzy sets and systems 、 Fuzzy set 、 Machine learning 、 Fuzzy number 、 Artificial intelligence 、 Mathematics
摘要: Abstract The properties of a fuzzy algebraic structure are investigated and the existence uniqueness operators for elements is formally proved. Afterwards problem generating appropriate classifications in universe discourse which characteristics defined through attributes whose values linguistic labels analyzed method based on introduced. A simple example used to show how new works results compared ones given same data set by better-known clustering algorithm, order prove feasibility. Finally, an application context real medical diagnosis will be shown main features discussed.
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