Title
A Generalized Fuzzy Extension Principle and Its Application to Information Fusion
Abstract
Zadeh's extension principle (ZEP) is a fundamental concept in fuzzy set (FS) theory that enables crisp mathematical operation on FSs. A well-known shortcoming of ZEP is that the height of the output FS is determined by the lowest height of the input FSs. In this article, we introduce a generalized extension principle (GEP) that eliminates this weakness and provides flexibility and control over how membership values are mapped from input to output. Furthermore, we provide a computationally efficient point-based FS representation. In light of our new definition, we discuss two approaches to perform aggregation of FSs using the Choquet integral. The resultant integrals generalize prior work and lay a foundation for future extensions. Last, we demonstrate the extended integrals via a combination of synthetic and real-world examples.
Year
DOI
Venue
2021
10.1109/TFUZZ.2020.3006574
IEEE Transactions on Fuzzy Systems
Keywords
DocType
Volume
Choquet integral (ChI),extension principle,fuzzy arithmetic,fuzzy integral (FI),fuzzy set
Journal
29
Issue
ISSN
Citations 
9
1063-6706
0
PageRank 
References 
Authors
0.34
10
4
Name
Order
Citations
PageRank
muhammad aminul islam1145.66
Derek T. Anderson215025.17
Timothy C. Havens39713.53
John E. Ball4389.80