Aggregation Functions, Similarity and Fuzzy Measures View Full Text


Ontology type: schema:Chapter     


Chapter Info

DATE

2018

AUTHORS

Surajit Borkotokey , Magdaléna Komorníková , Jun Li , Radko Mesiar

ABSTRACT

We propose a new method for constructing fuzzy measures. This method is based on a fixed aggregation function A, similarity measure S and a vector \(\mathbf {x} \in [0,1]^n\). Some illustrative examples yielding parametric families of fuzzy measures are given, and some properties of our method are studied.

PAGES

223-228

References to SciGraph publications

Book

TITLE

Aggregation Functions in Theory and in Practice

ISBN

978-3-319-59305-0
978-3-319-59306-7

From Grant

Identifiers

URI

http://scigraph.springernature.com/pub.10.1007/978-3-319-59306-7_23

DOI

http://dx.doi.org/10.1007/978-3-319-59306-7_23

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1085444284


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