A Type-2 Fuzzy Approach to Linguistic Summarization of Data

Authors:
A. Niewiadomski
Affiliations:
Tech. Univ. of Lodz, Lodz
Venue:
IEEE Transactions on Fuzzy Systems
Year:
2008

Citing 0
Cited 7

Imprecision Measures for Type-2 Fuzzy Sets: Applications to Linguistic Summarization of Databases

ICAISC '08 Proceedings of the 9th international conference on Artificial Intelligence and Soft Computing
α-plane representation for type-2 fuzzy sets: theory and applications

IEEE Transactions on Fuzzy Systems
Computing with words is an implementable paradigm: fuzzy queries, linguistic data summaries, and natural-language generation

IEEE Transactions on Fuzzy Systems - Special section on computing with words
On finity, countability, cardinalities, and cylindric extensions of type-2 fuzzy sets in linguistic summarization of databases

IEEE Transactions on Fuzzy Systems - Special section on computing with words
New linguistic hedges in construction of interval type-2 FLS

ICAISC'10 Proceedings of the 10th international conference on Artifical intelligence and soft computing: Part II
Charles Ragin's Fuzzy Set Qualitative Comparative Analysis (fsQCA) used for linguistic summarizations

Information Sciences: an International Journal
Towards linguistic descriptions of phenomena

International Journal of Approximate Reasoning

Quantified Score

Hi-index	0.00

Visualization

Abstract

This paper introduces an application of type-2 fuzzy sets in data linguistic summarization. The original approach by Yager (1982) based on representing natural language statements via type-1, i.e., the Zadeh fuzzy sets, is generalized with type-2 fuzzy sets applied as models of linguistically expressed quantities and/or properties of objects. Type-2 sets extend the known summarization procedures by handling fuzzy values stored in databases, and allow to represent a linguistic term via a few different membership functions (e.g., provided by different experts), which makes the method more general and human-consistent. Furthermore, quality measures for type-2 summaries are discussed in order to evaluate the informativeness of the messages generated. Finally, two prototype applications are presented and the success of the new method is discussed.