Abstract

Overlap function is a special type of aggregation function which measures the degree of overlapping between different classes. Recently, complex fuzzy sets have been successfully applied in many applications. In this paper, we extend the concept of overlap functions to the complex-valued setting. We introduce the notions of complex-valued overlap, complex-valued 0-overlap, complex-valued 1-overlap, and general complex-valued overlap functions, which can be regarded as the generalizations of the concepts of overlap, 0-overlap, 1-overlap, and general overlap functions, respectively. We study some properties of these complex-valued overlap functions and their construction methods.

Highlights

  • Bustince et al [1] introduced the concept of overlap function in order to express the overlapping degree between two different classes

  • Overlap functions are a special type of aggregation functions [2] that are used in many applications such as image processing [1, 3], classification [4, 5], and decision making [6, 7]

  • We introduced the concepts of complex-valued overlap, complex-valued 0-overlap, complex-valued 1overlap, and general complex-valued overlap functions

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Summary

Introduction

Bustince et al [1] introduced the concept of overlap function in order to express the overlapping degree between two different classes. It is an effective tool to handle uncertainty and periodicity simultaneously It has been successfully applied in signal processing [23,24,25], image processing [26], time series forecasting [27,28,29,30], and decision making [31, 32]. Ese features may lead to special properties and construction methods of complex-valued overlap functions and provide a good issue for generation of overlap functions. Erefore, in this paper, from the theoretical point of view, we propose the definitions and construction methods of complex-valued overlap functions.

Preliminaries
Overlap Functions
N-Dimensional Complex-Valued Overlap Functions
Construction of Complex-Valued Overlap Functions
Conclusions
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