Fuzzy Logic Model for the Evaluation of the Optimal Ready-Mixed Concrete Supplier Using a Fuzzy Neural Network in X-FUZZY-Reference-Cited by-同舟云学术

Fuzzy Logic Model for the Evaluation of the Optimal Ready-Mixed Concrete Supplier Using a Fuzzy Neural Network in X-FUZZY

Published:2024 Issue: Volume: Page:485-499
ISSN:1865-0929
Container-title:Communications in Computer and Information Science
language:en
Short-container-title:

Author:

Guerreros Diego Ricardo Cajachagua^ORCID,Quijano Sario Angel Chamorro^ORCID,Meza Felipe Nestor Gutarra^ORCID

Publisher

Springer Nature Switzerland

Link

https://link.springer.com/content/pdf/10.1007/978-3-031-64359-0_38

Reference18 articles.

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2. Asaad, A., El-Sayegh, S.M.: Key criteria for selecting green suppliers for construction projects in the UAE. J. Financ. Manag. Property Constr. 26(2), 201–218 (2021). https://doi.org/10.1108/JFMPC-11-2019-0083

3. Bentachfine, I., El Mkhalet, M., Erritali, M.: The application of fuzzy logic for the selection of suppliers for the purchase of wind turbines in Morocco. J. Theor. Appl. Inf. Technol. 100(22), 6774–6788 (2022)

4. Sarkar, A., Sarkar, S.: Comparing conventional methods with fuzzy logic for quantifying road congestion: evidence from Central Kolkata, India. In: Handbook of Research on Technological Advances of Library and Information Science in Industry 5.0, pp. 330–354 (2022). https://doi.org/10.4018/978-1-6684-4755-0.ch017

5. Bebeshko, B., et al.: Application of game theory, fuzzy logic and neural networks for assessing risks and forecasting rates of digital currency. J. Theor. Appl. Inf. Technol. 100(24), 7390–7404 (2022)