Application of ANFIS in the preparation of expert opinions and evaluation of building design variants in the context of processing large amounts of data-Reference-Cited by-同舟云学术

Application of ANFIS in the preparation of expert opinions and evaluation of building design variants in the context of processing large amounts of data

Published:2022-01 Issue: Volume:133 Page:104045
ISSN:0926-5805
Container-title:Automation in Construction
language:en
Short-container-title:Automation in Construction

Author:

Szafranko Elżbieta,Srokosz Piotr E.,Jurczak M.,Śmieja M.

Publisher

Elsevier BV

Subject

Building and Construction,Civil and Structural Engineering,Control and Systems Engineering

Reference43 articles.

1. The application of the real options method for the evaluation of high-rise construction projects;Izotov;E3S Web Conf.,2018

2. Multicriteria evaluation of building foundation alternatives;Turskis;Comput. Aid. Civil Infrastruct. Eng.,2016

3. Multi-criteria evaluation model for the selection of sustainable materials for building projects;Akadiri;Autom. Constr.,2013

4. The multi-actor, multi-criteria analysis methodology (MAMCA) for the evaluation of transport projects: theory and practice;Macharis;J. Adv. Transp.,2009

5. Multicriteria assessment of selected solutions for the building structural walls;Książek;Proc. Eng.,2014

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