Fuzzy regression to construction management via T-S fuzzy model

Cheng Wu Chen, Chen Yuan Chen, Morris H.L. Wang, Ken Yeh, Ting Ya Hsieh

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

12 Scopus citations

Abstract

In the contractual business, construction firms are generally more concerned with short-term financial strategies than the long-term ones. Working capital management is the central issue of all short-term financial concerns. Thus, it's urgent to study the cash portion of working capital management to rationalize the amount of cash and current assets possessed in certain time. The S-curve is quite suitable to represent the relationship between project duration and complete progress in practical usage of construction management. Based on the technique of Takagi-Sugeno (T-S) fuzzy model, the fuzzy regression model is constructed for curve fitting problems.

Original languageEnglish
Title of host publicationProceedings of the IASTED International Conference on Artificial Intelligence and Applications (as part of the 22nd IASTED International Multi-Conference on Applied Informatics)
EditorsM.H. Hamza
Pages37-39
Number of pages3
StatePublished - 2004
EventProceedings of the IASTED International Conference on Artificial Intelligence and Applications (as part of the 22nd IASTED International Multi-Conference on Applied Informatics - Innsbruck, Austria
Duration: 16 Feb 200418 Feb 2004

Publication series

NameProceedings of the IASTED International Conference. Applied Informatics

Conference

ConferenceProceedings of the IASTED International Conference on Artificial Intelligence and Applications (as part of the 22nd IASTED International Multi-Conference on Applied Informatics
Country/TerritoryAustria
CityInnsbruck
Period16/02/0418/02/04

Keywords

  • Fuzzy S-curve regression
  • T-S fuzzy model
  • Working capital management

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