AIOct 20, 2016

Generalized Interval-valued OWA Operators with Interval Weights Derived from Interval-valued Overlap Functions

arXiv:1610.06473v1114 citations
Originality Synthesis-oriented
AI Analysis

This work addresses a theoretical extension in fuzzy logic and aggregation operators, but it is incremental as it builds on existing concepts without broad practical impact.

The authors extended overlap functions to the interval-valued setting and used them to construct OWA operators with interval-valued weights, analyzing properties like homogeneity and migrativity.

In this work we extend to the interval-valued setting the notion of an overlap functions and we discuss a method which makes use of interval-valued overlap functions for constructing OWA operators with interval-valued weights. . Some properties of interval-valued overlap functions and the derived interval-valued OWA operators are analysed. We specially focus on the homogeneity and migrativity properties.

Foundations

The foundational work for this paper's niche, ranked by how specifically the neighbourhood builds on it — not by global fame.

Your Notes