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Applications of Fuzzy Hybrid Techniques in Construction Engineering and Management Analysis | OMICS International| Abstract
ISSN: 2168-9717

Journal of Architectural Engineering Technology
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  • Mini Review   
  • J Archit Eng Tech ,
  • DOI: 10.4172/2168-9717.1000297

Applications of Fuzzy Hybrid Techniques in Construction Engineering and Management Analysis

Rosana Moreira*
Department of Civil and Environmental Engineering, University of Alberta, Edmonton, Canada
*Corresponding Author : Rosana Moreira, Department of Civil and Environmental Engineering, University of Alberta, Edmonton, Canada, Email: rosana.moreira23@gmail.com

Received Date: Sep 01, 2022 / Published Date: Sep 29, 2022

Abstract

Construction engineering and management (CEM) becomes additional advanced with increasing project size and complexness. Numerous fuzzy hybrid techniques are enforced to handle subjective uncertainty and unclearness in CEM issues. The target of this paper is to research applications of fuzzy hybrid techniques across totally different CEM applications (e.g., prediction, higher cognitive process, and optimisation) through a scientific review of 255 journal articles revealed from 2004 to 2021. A list of choice criteria for selecting AN acceptable fuzzy hybrid technique to unravel a particular CEM drawback was conjointly established. This study contributes to the body of data by providing a progressive review of existing fuzzy hybrid techniques used in CEM to (1) demonstrate their capabilities to beat limitations of some normal techniques in determination advanced construction issues, (2) confirm choice criteria for his or her applications, and examine the pertinence of every fuzzy hybrid technique’s class to given sensible construction issues.

Citation: Moreira R (2022) Applications of Fuzzy Hybrid Techniques in Construction Engineering and Management Analysis. J Archit Eng Tech 11: 297. Doi: 10.4172/2168-9717.1000297

Copyright: © 2022 Moreira R. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

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