Encoding Words Into Normal Interval Type-2 Fuzzy Sets: HM Approach

This paper focuses on an approach, called the HM Approach (HMA), to determine (for the first time) a normal interval type-2 fuzzy set model for a word that uses interval data about a word that are collected either from a group of subjects or from one subject. The HMA has two parts: 1) Data part, whi...

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Bibliographic Details
Published in:IEEE transactions on fuzzy systems 2016-08, Vol.24 (4), p.865-879
Main Authors: Minshen Hao, Mendel, Jerry M.
Format: Article
Language:English
Subjects:
Computational modeling
Computing with words (CWW)
Data models
encoding
enhanced interval approach (EIA)
Frequency selective surfaces
Fuzzy sets
interval approach (IA)
interval type-2 fuzzy sets
Investment
Pragmatics
Uncertainty
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