DocumentCode :
3317932
Title :
An Interval Approach to Fuzzistics for Interval Type-2 Fuzzy Sets
Author :
Liu, Feilong ; Mendel, Jerry M.
Author_Institution :
Univ. of Southern California, Los Angeles
fYear :
2007
fDate :
23-26 July 2007
Firstpage :
1
Lastpage :
6
Abstract :
In this paper, a new and simple approach, called interval approach, to type-2 fuzzistics is presented, one that captures the strong points of both the person-MF and interval end-points approaches. It uses interval end-point data that are collected from a group of subjects, assumes a probability distribution for each person´s data and maps the mean and standard deviation of that distribution into the parameters of an iteratively specified type-1 person MF. These type-1 person MFs are then aggregated using the union leading to the FOU for a word. Experiments show that this approach is easy to implement and the derived interval type-2 word models match our intuitions, i.e., the FOUs of the small-sounding words are located to the left, the FOUs of the medium-sounding words are located in the middle, and the FOUs of the large-sounding words are located to the right.
Keywords :
fuzzy set theory; statistical distributions; interval approach; interval end-points approaches; interval type-2 fuzzy sets; probability distribution; type-2 fuzzistics; uncertainty footprint; Computer architecture; Decoding; Engines; Frequency selective surfaces; Fuzzy sets; Image processing; Natural languages; Probability distribution; Signal processing; Uncertainty;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Fuzzy Systems Conference, 2007. FUZZ-IEEE 2007. IEEE International
Conference_Location :
London
ISSN :
1098-7584
Print_ISBN :
1-4244-1209-9
Electronic_ISBN :
1098-7584
Type :
conf
DOI :
10.1109/FUZZY.2007.4295508
Filename :
4295508
Link To Document :
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