A net-flow based approach to detect outliers in multicriteria decision problems-Reference-Cited by-同舟云学术

A net-flow based approach to detect outliers in multicriteria decision problems

Published:2021-05-21 Issue: Volume: Page:1-12
ISSN:1872-4981
Container-title:Intelligent Decision Technologies
language:
Short-container-title:IDT

Author:

Rouba Baroudi

Abstract

Detecting outliers in multicriteria decision aid (MCDA) field is a new research direction that has not been enough explored. This paper tackles this problem by proposing a statistical approach based on PROMETHEE method net-flow. To consider the multicriteria character of the problem, the net-flow of each object is computed by applying PROMETHEE method. According to the normal distribution of the net-flow values, the standard deviation (SD) or interquartile range (IQR) statistical methods are used to detect outliers. To prove its applicability, the proposed approach is evaluated on real life problem.

Publisher

IOS Press

Subject

Artificial Intelligence,Computer Vision and Pattern Recognition,Human-Computer Interaction,Software

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