Multiple Function Approximation - A New Approach Using Complex Fuzzy Inference System

Chia Hao Tu, Chunshien Li

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

8 Scopus citations

Abstract

A complex-fuzzy machine learning approach to function approximation for multiple functions is proposed in this paper. The proposed approach involves the utility of complex-valued vector outputs by a novel complex-fuzzy model using complex fuzzy sets and the famous PSO-RLSE hybrid algorithm for machine learning of the model. An experiment was used to test the proposed approach for the ability of approximating four functions simultaneously. With the experimental result, the performance by the proposed model is promising and the proposed approach is compared to other methods. With complex fuzzy sets, the proposed approach has shown the excellent capability of function approximation for multiple functions using one single model with good performance.

Original languageEnglish
Title of host publicationIntelligent Information and Database Systems - 10th Asian Conference, ACIIDS 2018, Proceedings
EditorsHoang Pham, Ngoc Thanh Nguyen, Bogdan Trawinski, Duong Hung Hoang, Tzung-Pei Hong
PublisherSpringer Verlag
Pages243-254
Number of pages12
ISBN (Print)9783319754161
DOIs
StatePublished - 2018
Event10th International scientific conferences on research and applications in the field of intelligent information and database systems, ACIIDS 2018 - Dong Hoi City, Viet Nam
Duration: 19 Mar 201821 Mar 2018

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume10751 LNAI
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference10th International scientific conferences on research and applications in the field of intelligent information and database systems, ACIIDS 2018
Country/TerritoryViet Nam
CityDong Hoi City
Period19/03/1821/03/18

Keywords

  • Complex fuzzy set
  • Function approximation
  • Fuzzy system
  • Multi-target prediction

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