Analysis of Complex System Development Based on Fuzzy Cognitive Mapping

TL;DR

This paper explores the development of complex systems using Fuzzy Cognitive Mapping, integrating advanced classification and forecasting algorithms to enhance business decision support models.

Contribution

It introduces a novel approach combining Fuzzy Cognitive Mapping with recent classification and forecasting algorithms for complex system analysis.

Findings

Improved decision support models for business using Fuzzy Cognitive Mapping.

Effective integration of SVM, FFM, C4.5 algorithms in complex system analysis.

Enhanced data pre-processing techniques for better model accuracy.

Abstract

This article represents one of the contemporary trends in the application of the latest methods of classification in business, where intense competition and the desire to expand drive this science to far-reaching prospects using the discusses months and the most recent classification and forecasting algorithms such as SVM, FFM, C4.5, which are used to build better business decision support models, including basic steps in data pre-processing such as Attributes using Information Gain Ratio and filling missing values with several algorithms:K-Means,K-NearestNeighbor,Linear Regression,Neural Network(Back Propagation)